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Call number: | SPRINGER-2016-9783319303284:ONLINE Show nearby items on shelf |
Title: | Probabilistic Models of Population Evolution Scaling Limits, Genealogies and Interactions |
Author(s): |
Étienne Pardoux |
Date: | 2016 |
Size: | 1 online resource (2 p.) |
Note: | 10.1007/978-3-319-30328-4 |
Contents: | Introduction -- Branching Processes -- Convergence to a Continuous State Branching Process -- Continuous State Branching Process (CSBP) -- Genealogies -- Models of Finite Population with Interaction -- Convergence to a Continuous State Model -- Con tinuous Model with Interaction -- Appendix |
ISBN: | 9783319303284 |
Series: | eBooks |
Series: | SpringerLink (Online service) |
Series: | Springer eBooks |
Series: | Mathematical Biosciences Institute Lecture Series : 1.6 |
Keywords: | Mathematics , Ecology , Probabilities , Biomathematics , Mathematics , Mathematical and Computational Biology , Probability Theory and Stochastic Processes , Theoretical Ecology/Statistics |
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Call number: | SPRINGER-2014-9783642545931:ONLINE Show nearby items on shelf |
Title: | Neural Fields [electronic resource] : Theory and Applications |
Author(s): |
Stephen Coombes Peter beim Graben Roland Potthast James Wright |
Date: | 2014 |
Publisher: | Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer |
Size: | 1 online resource |
Note: | With this book, the editors present the first comprehensive collection in neural field studies, authored by leading scientists in the field - among them are two of the founding-fathers of neural field theory. Up to now, researchresults in the field h ave been disseminated across a number of distinct journals from mathematics, computational neuroscience, biophysics, cognitive science and others. Starting with a tutorial for novices in neural field studies, thebook comprises chapters on emergent pattern s, their phase transitions and evolution, on stochastic approaches, cortical development, cognition, robotics and computation, large-scale numerical simulations, the coupling of neural fieldsto the electroencephalogram and phase transitions in anesthesia. The intended readership are students and scientists in applied mathematics, theoretical physics, theoretical biology, and computational neuroscience. Neural field theoryand its applications have a long-standing tradition in the mathematical and computati onal neurosciences. Beginning almost 50 years ago with seminal work by Griffiths and culminating in the 1970ties with the models of Wilson and Cowan,Nunez and Amari, this important research area experienced a renaissance during the 1990ties by the groups of Ermentrout, Bressloff, Haken, and Wright. Since then, much progress has been made in both, the development of mathematical andnumerical techniques, and in physiological refinement and understanding. In contrast to large-scale neural network models desc ribed by huge connectivity matrices that are computationally expensive in numerical simulations, neural fieldmodels described by connectivity kernels allow for analytical treatment by means of functional analysis methods. Thus, a number of rigorous result s on the existence of bump and wave solutions or on inverse kernel construction problemsare nowadays available. Moreover, neural fields provide an important interface for the coupling of continuous neur |
Contents: | Preface |
1.Tutorial on Neural Field Theory. S. Coombes, P. beim Graben and R. Potthast | |
Part I Theory of Neural Fields | |
2.A Personal Account of the Development of the Field Theory of Large | |
Scale Brain Activity from 1945 Onward. J. Cowan | |
3.HeavisideWorld: Excitation and Self | |
Organization of Neural Fields. Shun | |
ichi Amari | |
4.Spatiotemporal Pattern Formation in Neural Fields with Linear Adaptation. G.B. Ermentrout, S.E. Folias and Z.P. Kilpatrick | |
5.PDE Methods for Two | |
Dimensional Neural Fields. C.R. Laing | |
6.Numerical Simulation Scheme of One | |
and Two Dimensional Neural Fields Inv | |
ISBN: | 9783642545931 |
Series: | eBooks |
Series: | SpringerLink |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Differentiable dynamical systems , Functional analysis , Integral equations , Consciousness |
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Call number: | SPRINGER-2014-9783319061481:ONLINE Show nearby items on shelf |
Title: | Rheophysics [electronic resource] : Matter in all its States |
Author(s): |
Philippe Coussot |
Date: | 2014 |
Publisher: | Cham : Springer International Publishing : Imprint: Springer |
Size: | 1 online resource |
Note: | This book presents a unified view of the physicochemical origin of the mechanical behaviour of gases, simple solids and liquids, suspensions, polymers, emulsions, foams, and granular materials, along with techniques for measuringthat behaviour. Besid es molecular materials in all their classical gaseous, solid, or liquid states, we deal daily with a number of other materials made of coarser elements such as polymers, cells, grains, bubbles, and droplets. Theytake on the familiar appearance of paints, inks, cements, muds, foams, emulsions, toothpastes, gels, etc. These materials exhibit complex structures and sometimes amazing types of mechanical behaviour, often intermediate between thoseof a simple liquid and a simple solid. From a practical standpoi nt, the aim is to analyze their internal evolution (aging, restructuring, phase separation, etc.), then to formulate these materials in accordance with the desiredproperties, and thereby devise new materials. With that aim in mind, it is crucial to unders tand how these materials deform or flow, depending on the interactions and structures formed by the elements they contain. This book isintended for students as well as more advanced researchers in mechanics, physics, chemistry, and biology. The mathematic al formalism is reduced in order to focus on physical explanations |
Contents: | From the Contents: Introduction |
Simple Materials | |
Suspensions | |
Polymers | |
Colloids | |
Emulsions | |
Foams | |
Granulars | |
Rheometry | |
ISBN: | 9783319061481 |
Series: | eBooks |
Series: | SpringerLink |
Series: | Soft and Biological Matter, 2213-1736 |
Series: | Physics and Astronomy (Springer-11651) |
Keywords: | Chemistry, Physical organic , Polymers , Materials |
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Call number: | SPRINGER-2014-9783034808132:ONLINE Show nearby items on shelf |
Title: | Elliptic Partial Differential Equations [electronic resource] : Volume 2: Reaction-Diffusion Equations |
Author(s): |
Vitaly Volpert |
Date: | 2014 |
Publisher: | Basel : Springer Basel : Imprint: Birkhuser |
Size: | 1 online resource |
Note: | If we had to formulate in one sentence what this book is about it might be How partial differential equations can help to understand heat explosion, tumor growth or evolution of biological species. These and many otherapplications are described by re action-diffusion equations. The theory of reaction-diffusion equations appeared in the first half of the last century. In the present time, it is widely used in population dynamics, chemical physics,biomedical modelling. The purpose of this book is to pre sent the mathematical theory of reaction-diffusion equations in the context of their numerous applications. We will go from the general mathematical theory to specific equationsand then to their applications. Mathematical anaylsis of reaction-diffusion eq uations will be based on the theory of Fredholm operators presented in the first volume. Existence, stability and bifurcations of solutions will be studiedfor bounded domains and in the case of travelling waves. The classical theory of reaction-diffusion equations and new topics such as nonlocal equations and multi-scale models in biology will be considered |
Contents: | I. Introduction to the theory of reaction |
diffusion equations | |
Chapter 1. Reaction | |
diffusion processes, models and applications | |
Chapter 2. Methods of analysis | |
Chapter 3. Reaction | |
diffusion problems in bounded domains | |
Chapter 4. Reaction | |
diffusion problems on the whole axis | |
II. Reaction | |
diffusion waves in cylinders | |
Chapter 5. Monotone systems | |
Chapter 6. Reaction | |
diffusion problems with convection | |
Chapter 7. Reaction | |
diffusion systems with different diffusion coefficients | |
Chapter 8. Nonlinear boundary conditions | |
Chapter 9. Nonlocal reaction | |
diffusion equations | |
Cha | |
ISBN: | 9783034808132 |
Series: | eBooks |
Series: | SpringerLink |
Series: | Monographs in Mathematics, 1017-0480 : v104 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Differential equations, partial |
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Call number: | SPRINGER-2014-9781461495420:ONLINE Show nearby items on shelf |
Title: | Functional and Phylogenetic Ecology in R [electronic resource] |
Author(s): |
Nathan G Swenson |
Date: | 2014 |
Publisher: | New York, NY : Springer New York : Imprint: Springer |
Size: | 1 online resource |
Note: | Functional and PhylogeneticEcology in R is designed to teach readers to use R for phylogenetic and functional trait analyses. Over the past decade, a dizzying array of tools and methods were generated to incorporatephylogenetic and functional informa tion into traditional ecological analyses. Increasingly these tools are implemented in R, thus greatly expanding their impact. Researchers getting started in R can use this volume as a step-by-stepentryway into phylogenetic and functional analyses for eco logy in R. More advanced users will be able to use this volume as a quick reference to understand particular analyses. The volume begins with an introduction to the Renvironment and handling relevant data in R. Chapters then cover phylogenetic and functio nal metrics of biodiversity null modeling and randomizations for phylogenetic and functional trait analyses integrating phylogenetic andfunctional trait information and interfacing the R environment with a popular C-based program. This book presents a uni que approach through its focus on ecological analyses and not macroevolutionary analyses. The author provides hisown code, so that the reader is guided through the computational steps to calculate the desired metrics. This guided approach simplifies the w ork of determining which package to use for any given analysis. Example datasets are sharedto help readers practice, and readers can then quickly turn to their own datasets |
Contents: | Preface |
Introduction | |
Phylogenetic Data in R | |
Phylogenetic Diversity | |
Functional Diversity | |
Phylogenetic & Functional Beta Diversity | |
Null Models | |
Comparative Methods & Phylogenetic Signal | |
Partitioning the Phylogenetic, Functional, Environmental and Spatial Components of Community Diversity | |
Integrating R with Other Phylogenetic and Functional Trait Analytical Software | |
References | |
Index | |
ISBN: | 9781461495420 |
Series: | eBooks |
Series: | SpringerLink |
Series: | Use R!, 2197-5736 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Ecology , Evolution (Biology) , Mathematical statistics |
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Call number: | SPRINGER-2013-9783642339141:ONLINE Show nearby items on shelf |
Title: | Chaos and Complex Systems [electronic resource] : Proceedings of the 4th International Interdisciplinary Chaos Symposium |
Author(s): |
Stavros G Stavrinides Santo Banerjee Suleyman Hikmet Caglar Mehmet Ozer |
Date: | 2013 |
Publisher: | Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Complexity Science and Chaos Theory are fascinating areas of scientific research with wide-ranging applications. The interdisciplinary nature and ubiquity of complexity and chaos are features that provides scientists with amotivation to pursue genera l theoretical tools and frameworks. Complex systems give rise to emergent behaviors, which in turn produce novel and interesting phenomena in science, engineering, as well as in the socio-economic sciences.The aim of all Symposia on Chaos and Complex Syst ems (CCS) is to bring together scientists, engineers, economists and social scientists, and to discuss the latest insights and results obtained in the area of correspondingnonlinear-system complex (chaotic) behavior. Especially for the 4th International I nterdisciplinary Chaos Symposium on Chaos and Complex Systems, which took place April 29th to May 2nd, 2012 in Antalya, Turkey, the scope of thesymposium had been further enlarged so as to encompass the presentation of work from circuits to econophysics, and from nonlinear analysis to the history of chaos theory. The corresponding proceedings collected in this volumeaddress a broad spectrum of contemporary topics, including but not limited to networks, circuits, systems, biology, evolution and ecology, n onlinear dynamics and pattern formation, as well as neural, psychological, psycho-social,socio-economic, management complexity and global systems |
Note: | Springer eBooks |
Contents: | Two Element Chaotic and Hyperchaotic Circuits |
LempelZiv Model of Dynamical | |
chaotic and Fibonacci | |
quasiperiodic Systems | |
A Novel Numerical Approach for Determining Chaotic Levels in Stadium Billiards | |
Fault | |
tolerant Tracker for Interconnected Large | |
scale Nonlinear systems with Input Constraint. | |
Non | |
equilibrium Systems and Mechanics of Structured Particles | |
Discovery of Dozy Chaos and Discovery of Quanta: Analogy Being in Scienceand Perhaps in Human Progress | |
Stability Boundaries of Transiently Non | |
Autonomous Chaotic NonlinearSystem : Graphical Approach | |
Chaos Synchr | |
ISBN: | 9783642339141 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Physics and Astronomy (Springer-11651) |
Keywords: | Engineering |
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Call number: | SPRINGER-2013-9781461468622:ONLINE Show nearby items on shelf |
Title: | Advances in Growth Curve Models [electronic resource] : Topics from the Indian Statistical Institute |
Author(s): |
Ratan Dasgupta |
Date: | 2013 |
Publisher: | New York, NY : Springer New York : Imprint: Springer |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Advances in Growth Curve Models: Topics from the Indian Statistical Institute is developed from the Indian Statistical Institute's A National Conference on Growth Curve Models. This conference took place between March 28-30, 2012in Giridih, Jharkhand , India. Jharkhand is a tribal area. Advances in Growth Curve Models: Topics from the Indian Statistical Institute sharesthe work of researchers in growth models used in multiple fields.A growth curve is anempirical model of the evolution of a quantity ov er time. Case studies and theoretical findings, important applications in everything fromhealth care topopulation projection,form the basis of this volume.Growth curves inlongitudinal studies are widely used in many disciplines including: Biology, Populat ion studies, Economics, Biological Sciences, SQC, Sociology, Nano-biotechnology, and Fluid mechanics.Someincluded reports areresearch topics thathave just been developed, whereas others present advances in existing literature.Both includedtools and techni queswill assist students and researchersintheir future work. Also included is a discussion of future applicationsof growth curve models. |
Note: | Springer eBooks |
Contents: | Yam Growth Experiment and Above |
ground Biomass as Possible Predictor | |
Some Statistical Perspectives of Growth Models in Health Care Plans | |
Testing of Growth Curves with Cubic Smoothing Splines | |
Non uniform Rates of Convergence to Normality for Two sample U | |
statistics in Non IID Case with Applications | |
Correlated Bivariate Linear Growth Models: Optimal Designs for Slope Parameter Estimation | |
Optimal | |
Time Harvest of Elephant Foot Yam and Related Theoretical Issues | |
Evolution of Scour and velocity fluctuation due to turbulence around cylinders | |
South Pole Ozone Profile and Lower Tol | |
ISBN: | 9781461468622 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Springer Proceedings in Mathematics & Statistics, 2194-1009 : v46 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Mathematical statistics |
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Call number: | SPRINGER-2013-9781461450498:ONLINE Show nearby items on shelf |
Title: | Constructal Law and the Unifying Principle of Design [electronic resource] |
Author(s): |
Luiz A.O Rocha Sylvie Lorente Adrian Bejan |
Date: | 2013 |
Publisher: | New York, NY : Springer New York : Imprint: Springer |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Design happens everywhere, whether in animate objects (e.g., dendritic lung structures, bacterial colonies, and corals), inanimate patterns (river basins, beach slope, and dendritic crystals), social dynamics (pedestrian trafficflows), or engineered systems (heat dissipation in electronic circuitry). This design in nature often takes on remarkably similar patterns, which can be explained under one unifying Constructal Law. This book explores theunifying power of the Constructal Law and its applicatio ns in all domains of design generation and evolution, ranging from biology and geophysics to globalization, energy, sustainability, and security. The Constructal Law accountsfor the universal tendency of flow systems to morph into evolving configurations that provide greater and easier access over time. The Constructal Law resolves the many and contradictory ad hoc statements of optimality, enddesign, and destiny in nature, such as minimum and maximum entropy production and minimum and maximum flow resist ance, and also explains the designs that are observed and copied in biomimetics. Constructal Law and the UnifyingPrinciple of Design covers the fundamentals of Constructal Theory and Design, as well as presenting a variety of state-of-the-art applications . Experts from the biological, physical and social sciences demonstrate the unification ofall design phenomena in nature, and apply this knowledge to novel designs in modern engineering, such as vascularization for self-healing and self-cooling materials for aircraft, and tree fins and cavities for heat transferenhancement. Captures a world-wide movement toward design as science Defines the place of the Constructal Law in physics and thermodynamics Features an interdisciplinaryapproach that spans phys ics, biology, engineering and the social sciences Demonstrates that a single law of physics governs all the pheno |
Note: | Springer eBooks |
Contents: | Preface: Constructal law, design in nature, and complexity |
1. The Constructal Design of Humanity on the Globe | |
2. Towards a Quantitative Unifying Theory of Natural Design of Flow Systems: Emergence and Evolution | |
3. Leaf Shapes and Venation Patterns | |
4. Drainage Basins Evolution with Non | |
Erodible Regions | |
5. Software Evolution and the Constructal Law | |
6. Constructal Design of High Conductivity Inserts | |
7. Constructal Design of T | |
shaped Water Distribution Networks | |
8. The Constructal Theory of Electrokinetic Transport through a Porous System | |
9. Constructal Theory Applied to | |
ISBN: | 9781461450498 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Understanding Complex Systems, 1860-0832 |
Series: | Physics and Astronomy (Springer-11651) |
Keywords: | Engineering , Geology , Biological models , Thermodynamics , Hydraulic engineering , Engineering design |
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Call number: | SPRINGER-2012-9783642225529:ONLINE Show nearby items on shelf |
Title: | Young Sun, Early Earth and the Origins of Life [electronic resource] : Lessons for Astrobiology |
Author(s): |
Muriel Gargaud Herv Martin Purificacin Lpez-Garca Thierry Montmerle Robert Pascal |
Date: | 2012 |
Publisher: | Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | - How did the Sun come into existence? - How was the Earth formed? - How long has Earth been the way it is now, with its combination of oceans and continents? - How do you define life? - How did the first life forms emerge?- What conditions made it p ossible for living things to evolve? All these questions are answered in this colourful textbook addressing undergraduate students in Origins of Life courses and the scientifically interested public. Theauthors take the reader on an amazing voyage through time, beginning five thousand million years ago in a cloud of interstellar dust and ending five hundred million years ago, when the living world that we see today was finally formed.A chapter on exoplanets provides an overview of the search for planets o utside the solar system, especially for habitable ones. The appendix closes the book with a glossary, a bibliography of further readings and a summary of theOrigins of the Earth and life infourteen boxes |
Note: | Springer eBooks |
Contents: | Formation of the Sun and the planets |
Formation and Early Childhood of the Earth | |
Water, Continents and Organic Matter | |
Intermezzo: Gestation of Life and its First Steps | |
Late Bombardment | |
Messages from the Most Ancient Terrestrial Rocks | |
Diversification of Life on Planet Earth | |
Exoplanets and habitability of planets | |
Epilogue | |
Classification of Rocks | |
ISBN: | 9783642225529 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Physics and Astronomy (Springer-11651) |
Keywords: | Life sciences , Planetology , Evolution (Biology) , Astrophysics , Astrobiology |
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Call number: | SPRINGER-2012-9781461417439:ONLINE Show nearby items on shelf |
Title: | Analysis of Phylogenetics and Evolution with R [electronic resource] |
Author(s): |
Emmanuel Paradis |
Date: | 2012 |
Publisher: | New York, NY : Springer New York |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | The increasing availability of molecular and genetic databases coupled with the growing power of computers gives biologists opportunities to address new issues, such as the patterns of molecular evolution, and re-assess old ones,such as the role of a daptation in species diversification. In the second edition, the book continues to integrate a wide variety of data analysis methods into a single and flexible interface: the R language. This open source languageis available for a wide range of computer s ystems and has been adopted as a computational environment by many authors of statistical software. Adopting R as a main tool for phylogenetic analyses will ease the workflow in biologists'data analyses, ensure greater scientific repeatability, and enhanc e the exchange of ideas and methodological developments. The second edition is completely updated, covering the full gamut of R packages for this area that have beenintroduced to the market since its previous publication five years ago. There is also a ne w chapter on the simulation of evolutionary data. Graduate students and researchers in evolutionary biology can use this book as areference for data analyses, whereas researchers in bioinformatics interested in evolutionary analyses will learn how to impl ement these methods in R. The book starts with a presentation of different R packages and gives a shortintroduction to R for phylogeneticists unfamiliar with this language. The basic phylogenetic topics are covered: manipulation of phylogenetic data, phyl ogeny estimation, tree drawing, phylogenetic comparative methods, and estimation ofancestral characters. The chapter on tree drawing uses R's powerful graphical environment. A section deals with the analysis of diversification with phylogenies, one of the author's favorite research topics. The last chapter is devotedto the development of phylogenetic methods with R and interfaces with other languages (C and C++). Some exercises conclude these chap |
Note: | Springer eBooks |
Contents: | Introduction |
First Steps in R for Phylogeneticists | |
Phylogenetic Data in R | |
Plotting Phylogenies | |
Phylogeny Estimation | |
Analysis of Macroevolution with Phylogenies | |
Simulating Phylogenies and Evolutionary Data | |
Developing and Implementing Phylogenetic Methods in R | |
Short Course on Regular Expressions | |
ISBN: | 9781461417439 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Use R! |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Life sciences , Bioinformatics , Evolution (Biology) , Statistics |
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Call number: | SPRINGER-2011-9788847008588:ONLINE Show nearby items on shelf |
Title: | Metodi matematici per la teoria dellevoluzione [electronic resource] |
Author(s): |
Armando Bazzani Marcello Buiatti Paolo Freguglia |
Date: | 2011 |
Publisher: | Milano : Springer Milan : Imprint: Springer |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Esistono ormai da tempo molti articoli, in particolar modo su riviste di biomatematica, di (bio)fisica e di biologia, che presentano proposte e risultati di modellistica matematica relativi direttamente ed indirettamente allateoria dellevoluzione. Si curamente questi studi sono da considerarsi cruciali per listituzione della biologia teorica. I temi da prendere in esame sono dapprima le convinzioni che i biologi hanno in merito. Quindi unanalisidei precedenti tentativi di formulare una teoria matemati ca dellevoluzione, nonch i relativi sviluppi e insuccessi a cui abbiamo assistito nellambito della teoria della complessit. La nostra proposta consiste dunque nelrealizzare una teoria matematicamente formulata e biologicamente ben fondata dellevoluzione c on specifico e giustificato riferimento a quella fenotipica. Quindi su questa base costruiamo sia di un modello geometrico sia un modellodinamico stocastico. In questo modo, pur tenendo presente lintrinseca insufficienza dellapproccio riduzionista in biol ogia, si tenta di dare alcune risposte che hanno una corrispondenza biologica significativa |
Note: | Springer eBooks |
ISBN: | 9788847008588 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | UNITEXT, 2038-5714 |
Series: | Physics and Astronomy (Springer-11651) |
Keywords: | Evolution (Biology) , Distribution (Probability theory) |
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Call number: | SPRINGER-2011-9783034801225:ONLINE Show nearby items on shelf |
Title: | The Mathematics of Darwins Legacy [electronic resource] |
Author(s): |
Fabio A. C. C Chalub Jos Francisco Rodrigues |
Date: | 2011 |
Publisher: | Basel : Springer Basel |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | The book presents a general overview of mathematical models in the context of evolution. It covers a wide range of topics such as population genetics, population dynamics, speciation, adaptive dynamics, game theory, kinselection, and stochastic proce sses. Written by leading scientists working at the interface between evolutionary biology and mathematics the book is the outcome of a conference commemorating Charles Darwin's 200th birthday, and the150th anniversary of the first publication of his book On the origin of species. Its chapters vary in format between general introductory and state-of-the-art research texts in biomathematics, in this way addressing both studentsand researchers in mathematics, biology and related fields. Mathematicians lookin g for new problems as well as biologists looking for rigorous description of population dynamics will find this book fundamental |
Note: | Springer eBooks |
Contents: | Preface |
What changes has mathematics made to the Darwinian theory? by Warren J. Ewens | |
The mathematics of Darwins theory of evolution: 1859 and 150 years later by Peter Schuster | |
Some Mathematical Models in Evolutionary Genetics by Reinhard Brger | |
Extinction, Persistence, and Evolution by Peter Jagers | |
Group Theory in Homogeneous Populations (Rescuing Darwin from the mud) by Peter Taylor | |
Evolutionary dynamics of collective action by Jorge M. Pacheco, Francisco C. Santos, Max O. Souza and Brian Skyrms | |
On kin and group selection, and the haystack model by Vincent A. A. Jans | |
ISBN: | 9783034801225 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Mathematics and Biosciences in Interaction |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Genetics Mathematics |
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Call number: | SPRINGER-2011-9780387767314:ONLINE Show nearby items on shelf |
Title: | Combinatorial Computational Biology of RNA [electronic resource] : Pseudoknots and Neutral Networks |
Author(s): |
Christian Reidys |
Date: | 2011 |
Publisher: | New York, NY : Springer New York |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | In this monograph, new combinatorial and computational approaches in the study of RNA structures are presented which enhance both mathematics and computational biology. It begins with an introductory chapter, which motivates andsets the background of this research. In the following chapter, all the concepts are systematically developed. The reader will find * integration of more than forty research papers covering topics like, RSK-algorithm, reflectionprinciple, singularity analysis and random graph theory * systematic presentation of the theory of pseudo-knotted RNA structures including their generating function, uniform generation as well as central and discrete limit theorems *computational biology of pseudo-knotted RNA structures, including dynam ic programming paradigms and a new folding algorithm * analysis of neutral networks of pseudoknotted RNA structures and their random graph theory, including neutralpaths, giant components and connectivity All algorithms presented in the book are implement ed in C and are freely available through a link on springer.com. A proofs section at the end contains the necessary technicalities. This bookwill serve graduate students and researchers in the fields of discrete mathematics, mathematical and computational biology. It is suitable as a textbook for a graduate course in mathematical and computational biology |
Note: | Springer eBooks |
Contents: | Introduction |
Secondary Structures, Pseudoknot RNA and Beyond | |
Folding Sequences into Structures | |
Evolution of RNA Sequences | |
Methods | |
References | |
Index | |
ISBN: | 9780387767314 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Computational complexity , Evolution (Biology) , Biology Mathematics , Combinatorics |
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Call number: | SPRINGER-2010-9783642124716:ONLINE Show nearby items on shelf |
Title: | Mutational Analysis [electronic resource] : A Joint Framework for Cauchy Problems in and Beyond Vector Spaces |
Author(s): |
Thomas Lorenz |
Date: | 2010 |
Publisher: | Berlin, Heidelberg : Springer Berlin Heidelberg |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Ordinary differential equations play a central role in science and have been extended to evolution equations in Banach spaces. For many applications, however, it is difficult to specify a suitable normed vector space. Shapeswithout a priori restricti ons, for example, do not have an obvious linear structure. This book generalizes ordinary differential equations beyond the borders of vector spaces with a focus on the well-posed Cauchy problem in finite timeintervals. Here are some of the examples: - Fe edback evolutions of compact subsets of the Euclidean space - Birth-and-growth processes of random sets (not necessarily convex) - Semilinear evolution equations - Nonlocal parabolicdifferential equations - Nonlinear transport equations for Radon measures - A structured population model - Stochastic differential equations with nonlocal sample dependence and how they can be coupled in systems immediately - due tothe joint framework of Mutational Analysis. Finally, the book offers new tools for modelling |
Note: | Springer eBooks |
ISBN: | 9783642124716 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Lecture Notes in Mathematics, 0075-8434 : v1996 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Global analysis (Mathematics) , Differentiable dynamical systems , Differential Equations , Differential equations, partial , Biology Mathematics , Systems theory |
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Call number: | SPRINGER-2010-9783642121425:ONLINE Show nearby items on shelf |
Title: | Homo Novus A Human Without Illusions [electronic resource] |
Author(s): |
Ulrich J Frey Charlotte Strmer Kai P Willfhr |
Date: | 2010 |
Publisher: | Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Converging evidence from disciplines including sociobiology, evolutionary psychology and human biology forces us to adopt a new idea of what it means to be a human. As cherished concepts such as free will, nave realism, humansas creation's crowning g lory fall and our moral roots in ape group dynamics become clearer, we have to take leave of many concepts that have been central to defining our humanness. What emerges is a new human, the homo novus, a humanbeing without illusions. Leading authors from many different fields explore these issues by addressing these illusions and providing evidence for the need to switch to this new idea of man, in spite of understandable reluctance to letgo of our most beloved illusions |
Note: | Springer eBooks |
Contents: | Humans Are Exceptional |
The Position of Man in the Cosmos | |
Living Differences | |
Nothing to Talk About | |
We Are Independent of Our Sociobiological Roots | |
The True Egoist Is Cooperative | |
The Social Brain and Its Implications | |
Why Most Theories Get It Wrong | |
The Biological Imperative Doesnt Matter to Us | |
Mortality Crises and Their Consequences for Human Life Histories | |
Costs and Consequences of Reproduction | |
Height and Reproductive Success | |
The Past Doesnt Echo in Our Heads | |
Developmental Psychology Without Dualistic Illusions | |
The Psychology of Families | |
Moral, | |
ISBN: | 9783642121425 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | The Frontiers Collection, 1612-3018 |
Series: | Physics and Astronomy (Springer-11651) |
Keywords: | Life sciences , Genetic epistemology , Evolution (Biology) , Psychology , Anthropology , Consciousness |
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Call number: | SPRINGER-2010-9783642046315:ONLINE Show nearby items on shelf |
Title: | Abstract Parabolic Evolution Equations and their Applications [electronic resource] |
Author(s): |
Atsushi Yagi |
Date: | 2010 |
Publisher: | Berlin, Heidelberg : Springer Berlin Heidelberg |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | The semigroup methods are known as a powerful tool for analyzing nonlinear diffusion equations and systems. The author has studied abstract parabolic evolution equations and their applications to nonlinear diffusion equations andsystems for more than 30 years. He gives first, after reviewing the theory of analytic semigroups, an overview of the theories of linear, semilinear and quasilinear abstract parabolic evolution equations as well as general strategiesfor constructing dynamical systems, attract ors and stable-unstable manifolds associated with those nonlinear evolution equations. In the second half of the book, he shows how to apply the abstract results to various models in the realworld focusing on various self-organization models: semiconducto r model, activator-inhibitor model, B-Z reaction model, forest kinematic model, chemotaxis model, termite mound building model, phase transition model, and Lotka-Volterracompetition model. The process and techniques are explained concretely in order to an alyze nonlinear diffusion models by using the methods of abstract evolution equations. Thus the present book fills the gaps of related titles thateither treat only very theoretical examples of equations or introduce many interesting models from Biology an d Ecology, but do not base analytical arguments upon rigorous mathematical theories |
Note: | Springer eBooks |
ISBN: | 9783642046315 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Springer Monographs in Mathematics, 1439-7382 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Differentiable dynamical systems , Differential equations, partial , Biology Mathematics |
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Call number: | SPRINGER-2010-9783642008702:ONLINE Show nearby items on shelf |
Title: | Emergence, Analysis and Evolution of Structures [electronic resource] : Concepts and Strategies Across Disciplines |
Author(s): |
Klaus Lucas Peter Roosen |
Date: | 2010 |
Publisher: | Berlin, Heidelberg : Springer Berlin Heidelberg |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | The study of structures and structure generating processes is a common concern of all scientific and technical disciplines. The present volume presents an interdisciplinary investigation of the different methods of analysis andmodelling which, while differing considerably in detail, usually have evolutionary adaption or development schemes at their core. The book naturally falls into three parts - a first part summarizing the transdisciplinary fundamentals,a second part discussing in detail case stud ies from various fields (production engineering, medicine, management, molecular biology, energy engineering, civil engineering, logistics, sociology, physics) and a shorter outlook on thetransdisciplinary perspective |
Note: | Springer eBooks |
Contents: | Transdisciplinary Fundamentals |
Structures in the Disciplines: Case Studies | |
Transdisciplinary Perspective | |
ISBN: | 9783642008702 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Understanding Complex Systems, 1860-0832 |
Series: | Physics and Astronomy (Springer-11651) |
Keywords: | Engineering , Artificial intelligence |
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Call number: | SPRINGER-2009-9783642020889:ONLINE Show nearby items on shelf |
Title: | The Life of Stars [electronic resource] The Controversial Inception and Emergence of the Theory of Stellar Structure |
Author(s): |
Giora Shaviv |
Date: | 2009 |
Publisher: | Berlin, Heidelberg : Springer Berlin Heidelberg |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | This beautifully illustrated book describes the birth and evolution of the theory of stellar structure through the vehement controversy between biology (as presented by Darwin) and physics (as presented by Kelvin) about the age ofthe Earth, which cul minated with Rutherford suggesting radioactive dating. Shaviv analyzes critically many proclaimed scientific results, showing how and why they were wrong, and explains why it took decades to find the now acceptedscientific answers - where there are such - and why there remains much more to be done before we can say we fully understand what happens up there in the heavens. The Life of the Stars provides fascinating reading for all thoseinterested in the stars, in the history of astronomy and in what their story tells us about how science progresses. Moreover, it will bring readers up-to-date on current problems in astrophysics |
Note: | Springer eBooks |
Contents: | The Controversy About the Age of the Earth |
What Stellar Classification Tells Us | |
The Dawn of a New Era | |
Towards a Complete Stellar Structure Theory | |
From Chemistry to Dying Stars | |
The Solution to the Stellar Energy Problem | |
How the Low | |
Mass Stars Perish | |
The Life and Death of Massive Stars | |
The Sun | |
ISBN: | 9783642020889 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Physics and Astronomy (Springer-11651) |
Keywords: | Astronomy , Nuclear physics |
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Call number: | SPRINGER-2009-9780387789071:ONLINE Show nearby items on shelf |
Title: | Handbook of Applied Analysis [electronic resource] |
Author(s): |
Sophia Th Kyritsi-Yiallourou Nikolaos S Papageorgiou |
Date: | 2009 |
Publisher: | Boston, MA : Springer US |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Accurate models to describe real-world phenomena are indispensable for research in such scientific fields as physics, engineering, biology, chemistry, and economics. The tools and techniques of applied analysis facilitate thedevelopment of mathematic al models and can thereby serve as an excellent resource for students and researchers in various scientific and mathematical disciplines. This self-contained, comprehensive handbook provides an in-depthexamination of important theoretical methods and proc edures in applied analysis. Unique features of the Handbook of Applied Analysis: Presents an accessible introduction to modern analysis, while still serving as a useful referencefor researchers and practitioners Covers a large number of diverse topics: smooth and nonsmooth differential calculus, optimal control, fixed point theory, critical point theory, linear and nonlinear eigenvalue problems, nonlinearboundary value problems, set-valued analysis, game theory, stochastic analysis, and evolutionary equ ations Serves as a complete guide to the theory of nonlinear analysis Includes numerous examples that demonstrate and expandupon the topics presented Suggests many directions for further research and study. In this one volume, the reader can find many of the most important theoretical trends in nonlinear analysis and applications to different fields.These features, together with an extensive bibliography, make the volume a valuable tool for every researcher working with nonlinear analysis |
Note: | Springer eBooks |
Contents: | Smooth and Nonsmooth Calculus |
Extremal Problems and Optimal Control | |
Nonlinear Operators and Fixed Points | |
Critical Point Theory and Variational Methods | |
Boundary Value ProblemsHamiltonian Systems | |
Multivalued Analysis | |
Economic Equilibrium and Optimal Economic Planning | |
Game Theory | |
Uncertainty, Information, Decision Making | |
Evolution Equations | |
ISBN: | 9780387789071 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Advances in Mechanics and Mathematics, 1571-8689 : v19 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Global analysis (Mathematics) , Differential Equations , Differential equations, partial , Mathematical optimization |
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Call number: | SPRINGER-2008-9783790820621:ONLINE Show nearby items on shelf |
Title: | Functional and Operatorial Statistics [electronic resource] |
Author(s): |
Sophie Dabo-Niang Frdric Ferraty |
Date: | 2008 |
Publisher: | Heidelberg : Physica-Verlag HD |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | An increasing number of statistical problems and methods involve infinite-dimensional aspects. This is due to the progress of technologies which allow us to store more and more information while modern instruments are able tocollect data much more ef fectively due to their increasingly sophisticated design. This evolution directly concerns statisticians, who have to propose new methodologies while taking into account such high-dimensional data (e.g.continuous processes, functional data, etc.). The num erous applications (micro-arrays, paleo- ecological data, radar waveforms, spectrometric curves, speech recognition, continuous time series, 3-D images, etc.) in various fields(biology, econometrics, environmetrics, the food industry, medical sciences, pa per industry, etc.) make researching this statistical topic very worthwhile. This book gathers important contributions on the functional and operatorialstatistics fields |
Note: | Springer eBooks |
Contents: | to IWFOS'2008 |
Solving Multicollinearity in Functional Multinomial Logit Models for Nominal and Ordinal Responses | |
Estimation of Functional Regression Models for Functional Responses by Wavelet Approximation | |
Functional Linear Regression with Functional Response: Application to Prediction of Electricity Consumption | |
Asymptotic Normality of Robust Nonparametric Estimator for Functional Dependent Data | |
Measuring Dissimilarity Between Curves by Means of Their Granulometric Size Distributions | |
Supervised Classification for Functional Data: A Theoretical Remark and Some Numerical Compar | |
ISBN: | 9783790820621 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Contributions to Statistics, 1431-1968 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Distribution (Probability theory) , Mathematical statistics , Economics, Mathematical |
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Call number: | SPRINGER-2008-9783540850816:ONLINE Show nearby items on shelf |
Title: | Unifying Themes in Complex Systems [electronic resource] : Proceedings of the Sixth International Conference on Complex Systems |
Author(s): |
Ali Minai Dan Braha Yaneer Bar-Yam |
Date: | 2008 |
Publisher: | Berlin, Heidelberg : Springer Berlin Heidelberg |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | The International Conference on Complex Systems (ICCS) creates a unique atmosphere for scientists of all fields, engineers, physicians, executives, and a host of other professionals to explore the common themes and applications ofcomplex systems scie nce. In June 2006, 500 participants convened in Boston for the sixth ICCS, exploring an array of topics, including networks, systems biology, evolution and ecology, nonlinear dynamics and pattern formation, as wellas neural, psychological, psycho-social, socio-economic, and global systems. This volume selects 77 papers from over 300 presented at the conference. With this new volume, Unifying Themes in Complex Systems continues to build commonground between the wide-ranging domains of complex systems scien ce |
Note: | Springer eBooks |
Contents: | Part I: Methods |
Part II: Models | |
Part III: Applications | |
ISBN: | 9783540850816 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Physics and Astronomy (Springer-11651) |
Keywords: | Artificial intelligence , Mathematics |
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Call number: | SPRINGER-2008-9783540776574:ONLINE Show nearby items on shelf |
Title: | Organic Computing [electronic resource] |
Author(s): |
Rolf P Wrtz |
Date: | 2008 |
Publisher: | Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Organic Computing is a research field emerging around the conviction that problems of organization in complex systems in computer science, telecommunications, neurobiology, molecular biology, ethology, and possibly even sociologycan be tackled scient ifically in a unified way. From the computer science point of view, the apparent ease in which living systems solve computationally difficult problems makes it inevitable to adopt strategies observed in nature forcreating information processing machinery. In this book, the major ideas behind Organic Computing are delineated, together with a sparse sample of computational projects undertaken in this new field. Biological metaphors includeevolution, neural networks, gene-regulatory networks, networks of bra in modules, hormone system, insect swarms, and ant colonies. Applications are as diverse as system design, optimization, artificial growth, task allocation,clustering, routing, face recognition, and sign language understanding |
Note: | Springer eBooks |
Contents: | Introduction: Organic Computing |
The Organic Future of Information Technology | |
Systems Engineering for Organic Computing: The Challenge of Shared Design and Control between OC Systems and their Human Engineers | |
Controlled Emergence and Self | |
Organization | |
Organic Computing and Complex Dynamical Systems Conceptual Foundations and Interdisciplinary Perspectives | |
Evolutionary Design of Emergent Behavior | |
Genesis of Organic Computing Systems: Coupling Evolution and Learning | |
Organically Grown Architectures: Creating Decentralized, Autonomous Systems by Embryomorphic Engineering | |
ISBN: | 9783540776574 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Understanding Complex Systems, 1860-0832 |
Series: | Physics and Astronomy (Springer-11651) |
Keywords: | Neurosciences , Artificial intelligence , Differentiable dynamical systems , Engineering mathematics , Vibration |
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Call number: | SPRINGER-2008-9783540743316:ONLINE Show nearby items on shelf |
Title: | Tutorials in Mathematical Biosciences IV [electronic resource] : Evolution and Ecology |
Author(s): |
Avner Friedman |
Date: | 2008 |
Publisher: | Berlin, Heidelberg : Springer Berlin Heidelberg |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | The book offers an easy introduction to fast growing research areas in evolution of species, population genetics, ecological models, and population dynamics. The first two chapters review the concept and methodologies ofphylogenetic trees computation al schemes and illustrations are given, including applications such as tracing the origin of SARS and influenza. The third chapter introduces the reader to ecological models, including predator-preymodels. This chapter includes and introduction to reactio n-diffusion equations, which are used to analyze the ecological models. The next chapter reviews a broad range of ongoing research in population dynamics, including evolution ofdispersal models it also features interesting mathematical theorems and lists open problems. The final chapter deals with gene frequencies under the action of migration and selection. The book is addressed to readers at the level ofgrad students and researchers. A background in PDEs is provided |
Note: | Springer eBooks |
Contents: | Inference of Phylogenetic Trees |
Large | |
Scale Phylogenetic Analysis of Emerging Infectious Diseases | |
ReactionDiffusion Equations and Ecological Modeling | |
The Dynamics of MigrationSelection Models | |
Some Challenging Mathematical Problems in Evolution of Dispersal and Population Dynamics | |
ISBN: | 9783540743316 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Lecture Notes in Mathematics, 0075-8434 : v1922 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Biology Mathematics , Physiology Mathematics |
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Call number: | SPRINGER-2008-9783540742845:ONLINE Show nearby items on shelf |
Title: | Evolution Algebras and their Applications [electronic resource] |
Author(s): |
Jianjun Paul Tian |
Date: | 2008 |
Publisher: | Berlin, Heidelberg : Springer Berlin Heidelberg |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Behind genetics and Markov chains, there is an intrinsic algebraic structure. It is defined as a type of new algebra: as evolution algebra. This concept lies between algebras and dynamical systems. Algebraically, evolutionalgebras are non-associative Banach algebras dynamically, they represent discrete dynamical systems. Evolution algebras have many connections with other mathematical fields including graph theory, group theory, stochastic processes,dynamical systems, knot theory, 3-manifolds, and th e study of the Ihara-Selberg zeta function. In this volume the foundation of evolution algebra theory and applications in non-Mendelian genetics and Markov chains is developed, withpointers to some further research topics |
Note: | Springer eBooks |
Contents: | Motivations |
Evolution Algebras | |
Evolution Algebras and Markov Chains | |
Evolution Algebras and Non | |
Mendelian Genetics | |
Further Results and Research Topics | |
ISBN: | 9783540742845 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Lecture Notes in Mathematics, 0075-8434 : v1921 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Algebra , Biology Mathematics , Distribution (Probability theory) |
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Call number: | SPRINGER-2008-9783540738497:ONLINE Show nearby items on shelf |
Title: | Unifying Themes in Complex Systems IV [electronic resource] : Proceedings of the Fourth International Conference on Complex Systems |
Author(s): |
Ali A Minai Yaneer Bar-Yam |
Date: | 2008 |
Publisher: | Berlin, Heidelberg : Springer Berlin Heidelberg |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | In June of 2002, over 500 professors, students and researchers met in Boston, Massachusetts for the Fourth International Conference on Complex Systems. The attendees represented a remarkably diverse collection of fields: biology,ecology, physics, eng ineering, computer science, economics, psychology and sociology, The goal of the conference was to encourage cross-fertilization between the many disciplines represented and to deepen understanding of theproperties common to all complex systems. This volu me contains 43 papers selected from the more than 200 presented at the conference. Topics include: cellular automata, neurology, evolution, computer science, network dynamics, andurban planning. About NECSI: For over 10 years, The New England Complex Syst ems Institute (NECSI) has been instrumental in the development of complex systems science and its applications. NECSI conducts research, education, knowledgedissemination, and community development around the world for the promotion of the study of comple x systems and its application for the betterment of society. NECSI hosts the International Conference on Complex Systems and publishesthe NECSI Book Series in conjunction with Springer Publishers. ALI MINAI is an Affiliate of the New England Complex Syste ms Institute and an Associate Professor in the Department of Electrical and Computer Engineering and ComputerScience at the University of Cincinnati. YANEER BAR-YAM is President and founder of the New England Complex Systems Institute. He is the author of Dynamics of Complex Systems and Making Things Work: Solving Complex Problems in aComplex World |
Note: | Springer eBooks |
Contents: | Methods |
A Complex Systems Perspective on Collaborative Design | |
RAn (Robustness Analyser) | |
Invariant Subsets of the Search Space, and the Universality of a Generalized Genetic Algorithm | |
Models | |
Cell | |
like space charge configurations formed by self | |
organization in laboratory | |
Local Complexity and Global Nonlinear Modes in Large Arrays of Elastic Rods in an Air Cross | |
Flow | |
Self | |
organization in Navier | |
Stokes turbulence | |
The Game (Introduction to Digital Physics) | |
Epsilon | |
Pseudo | |
Orbits and Applications | |
On the mystery of differential negative resistance | |
Dissipative Str | |
ISBN: | 9783540738497 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Physics and Astronomy (Springer-11651) |
Keywords: | Artificial intelligence , Mathematics , Engineering |
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Call number: | SPRINGER-2008-9781402087615:ONLINE Show nearby items on shelf |
Title: | Evolution from Cellular to Social Scales [electronic resource] |
Author(s): |
Arne T Skjeltorp Alexander V Belushkin |
Date: | 2008 |
Publisher: | Dordrecht : Springer Netherlands |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Evolution is a critical challenge for many areas of science, technology and development of society. The book reviews general evolutionary facts such as origin of life and evolution of the genome and clues to evolution throughsimple systems. Emerging areas of science such as systems biology and bio-complexity are founded on the idea that phenomena need to be understood in the context of highly interactive processes operating at different levels andon different scales. This is where physics meets compl exity in nature, and where we must begin to learn about complexity if we are to understand it. Similarly, there is an increasingly urgent need to understand and predict theevolutionary behavior of highly interacting man-made systems, in areas such as comm unications and transport, which permeate the modern world. The same applies to the evolution of human networks such as social, political and financialsystems, where technology has tended to vastly increase both the complexity and speed of interaction, whi ch is sometimes effectively instantaneous. The book contains reviews on such diverse areas as evolution experiments withmicroorganisms, the origin and evolution of viruses, evolutionary dynamics of genes and environment in cancer development, aging as an evolution-facilitating program, evolution of vision and evolution of financial markets |
Note: | Springer eBooks |
Contents: | The Accuracy of Molecular Processes |
Experimental Evolution: Bugs and Bytes | |
Evolutionary Dynamics | |
Small RNA Control of Cell | |
to | |
Cell Communication in Vibrio Harveyi and Vibrio Cholerae | |
Dynamical Genetic Regulation | |
Translation Attenuation Mechanism in Unfolded Protein Response | |
The Origin and Evolution of Viruses | |
Fokker | |
Planck and Chapman | |
Kolmogorov Equations for Ito Processes with Finite Memory | |
Evolution of FX Markets via Globalization of Capital | |
Evolutionary Dynamics of Genes and Environment in Cancer Development | |
Aging as Evolution | |
Facilitating Program and a Biochem | |
ISBN: | 9781402087615 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | NATO Science for Peace and Security Series B: Physics and Biophysics, 1874-6500 |
Series: | Physics and Astronomy (Springer-11651) |
Keywords: | Evolution (Biology) , Biomedical engineering , Engineering , Economics |
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Call number: | SPRINGER-2008-9781402084911:ONLINE Show nearby items on shelf |
Title: | The Painlev Handbook [electronic resource] |
Author(s): |
Robert Conte Micheline Musette |
Date: | 2008 |
Publisher: | Dordrecht : Springer Netherlands |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Nonlinear differential or difference equations are encountered not only in mathematics, but also in many areas of physics (evolution equations, propagation of a signal in an optical fiber), chemistry (reaction-diffusion systems),and biology (competit ion of species). This book introduces the reader to methods allowing one to build explicit solutions to these equations. A prerequisite task is to investigate whether the chances of success are high or low, andthis can be achieved without any a priori kno wledge of the solutions, with a powerful algorithm presented in detail called the Painlev test. If the equation under study passes the Painlev test, the equation is presumed integrable.If on the contrary the test fails, the system is nonintegrable or even chaotic, but it may still be possible to find solutions. The examples chosen to illustrate these methods are mostly taken from physics. These include on theintegrable side the nonlinear Schrdinger equation (continuous and discrete), the Korteweg-de Vries equation, the Hnon-Heiles Hamiltonians, on the nonintegrable side the complex Ginzburg-Landau equation (encountered in opticalfibers, turbulence, etc), the Kuramoto-Sivashinsky equation (phase turbulence), the Kolmogorov-Petrovski-Piskunov equation (KPP, a reaction-diffusion model), the Lorenz model of atmospheric circulation and the Bianchi IX cosmologicalmodel. Written at a graduate level, the book contains tutorial text as well as detailed examples and the state of the art on some current research |
Note: | Springer eBooks |
ISBN: | 9781402084911 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Physics and Astronomy (Springer-11651) |
Keywords: | Chemistry Mathematics , Differentiable dynamical systems , Differential Equations , Differential equations, partial , Mathematical physics , Engineering mathematics |
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Call number: | SPRINGER-2008-9780817647131:ONLINE Show nearby items on shelf |
Title: | Selected Topics in Cancer Modeling [electronic resource] : Genesis, Evolution, Immune Competition, and Therapy |
Author(s): |
Elena Angelis Mark A. J Chaplain Nicola Bellomo |
Date: | 2008 |
Publisher: | Boston : Birkhuser Boston |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | A major challenge in the modeling and simulation of tumor growth is the mathematical description of living matter, which is far more complex than a mathematical description of inert matter. One critical piece of this challenge iscreating multiscale m odels that take into account subcellular, cellular, and macroscopic levels of cancer. The complexity of these different levels requires the development of new mathematical methods and ideas, which are examined inthis work. Written by first-rate researcher s in the field of mathematical biology, this collection of selected chapters offers a comprehensive overview of state-of-the-art mathematical methods and tools for modeling and analyzingcancer phenomena. Topics covered include: * Genetic and epigenetic pa thways to colon cancer * A game theoretical perspective on the somatic evolution of cancer * Nonlinear modeling and simulation of tumor growth * Tumor cords and theirresponse to anticancer agents * Modeling diffusely invading brain tumors * Multiphase mod els of tumor growth * Mathematical modeling of breast carcinogenesis * Predictive models in tumor immunology * Multiscale modeling of solid tumorgrowth Selected Topics in Cancer Modeling is an excellent reference for researchers, practitioners, and gradua te students in applied mathematics, mathematical biology, and related fields. The book has an overall aim of quantitative,predictive mathematical modeling of solid tumor growth at all scales, from genetics all the way through to treatment therapy for pati ents |
Note: | Springer eBooks |
Contents: | Preface |
List of Contributors | |
Genetic and Epigenetic Pathways to Colon Cancer: Relating Experimental Evidence with Modeling | |
From Kinetic Theory for Active Particles to Modelling Immune Competition | |
Towards Microscopic and Nonlocal Models of Tumour Invasion of Tissue | |
Nonlinear Renewal Equations | |
A Game Theoretical Perspective on the Somatic Evolution of Cancer | |
Nonlinear Modeling and Simulation of Tumor Growth | |
Tumour Cords and Their Response to Anticancer Agents | |
Modeling Diffusely Invading Brain Tumors: An Individualized Approach to Quantifying Glioma Evolution and Respon | |
ISBN: | 9780817647131 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Modeling and Simulation in Science, Engineering and Technology |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Oncology , Biology Mathematics , Physiology Mathematics |
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Call number: | SPRINGER-2008-9780817646004:ONLINE Show nearby items on shelf |
Title: | Modeling Complex Living Systems [electronic resource] |
Author(s): |
Nicola Bellomo |
Date: | 2008 |
Publisher: | Boston, MA : Birkhuser Boston |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Using tools from mathematical kinetic theory and stochastic game theory, this work deals with the modeling of large complex systems in the applied sciences, particularly those comprised of several interacting individuals whosedynamics follow rules de termined by some organized, or even intelligent ability. Traditionally, methods of mathematical kinetic theory have been applied to model the evolution of large systems of interacting classical or quantumparticles. This book, on the other hand, examines t he modeling of living systems as opposed to inert systems. The author develops new mathematical methods and toolshopefully a new mathematicstoward the modeling of livingsystems. Such tools need to be far more complex than those dealing with systems of ine rt matter. The first part of the book deals with deriving general evolution equations that can be customized to particular systems of interest in theapplied sciences. The second part of the book deals with various models and applications. The presentation unfolds using the following common approach in each chapter: * Phenomenological interpretation of the physical system in thecontext of mathematical modeling * Derivation of the mathematical model using methods from mathematical kinetic theory for active particles * Simulations, parameter sensitivity analysis, and critical inspection of the derived modeltowards validation * Overview of presented ideas to improve existing models, with special emphasis on applications Specific topics covered include: * Mode ling of the competition between cells of an aggressive invasive agent and cellsof the immune system * Modeling of vehicular traffic flow * Modeling of swarms and crowd dynamics in complex geometric environments * Methodological aspects related to multisca le modeling of large systems viewed as interconnectedsubsystems Modeling Complex Living Systems is a valuable resource for applied mathematicians, engineers, physicists, biologists, economists |
Note: | Springer eBooks |
Contents: | Preface |
From Scaling and Determinism to Kinetic Theory Representation | |
Mathematical Structures of the Kinetic Theory for Active Particles | |
Additional Mathematical Structures for Modeling Complex Systems | |
Mathematical Frameworks for Discrete Activity Systems | |
Modeling of Social Dynamics and Economic Systems | |
Mathematical Modeling of Vehicular Traffic Flow Phenomena | |
Complex Biological Systems: Mutations and Immune Competition | |
Modeling Crowds and Swarms: Congested and Panic Flows | |
Additional Concepts on the Modeling of Living Systems | |
Collected Bibliography | |
Index | |
ISBN: | 9780817646004 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Modeling and Simulation in Science, Engineering and Technology |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Biology Mathematics , Mathematical physics , Engineering mathematics |
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Call number: | SPRINGER-2008-9780817645564:ONLINE Show nearby items on shelf |
Title: | Mathematical Modeling of Biological Systems, Volume II [electronic resource] : Epidemiology, Evolution and Ecology,Immunology, Neural Systems and the Brain, and Innovative Mathematical Methods |
Author(s): |
Andreas Deutsch Rafael Bravo de la Parra Rob J. de Boer Odo Diekmann Peter Jagers Eva Kisdi Mirjam Kretzschmar Petr Lansky Hans Metz |
Date: | 2008 |
Publisher: | Boston, MA : Birkhuser Boston |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Springer eBooks |
ISBN: | 9780817645564 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Modeling and Simulation in Science, Engineering and Technology |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Immunology , Epidemiology , Bioinformatics , Biology Mathematics |
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Call number: | SPRINGER-2008-9780387781693:ONLINE Show nearby items on shelf |
Title: | Probability Models for DNA Sequence Evolution [electronic resource] |
Author(s): |
Richard Durrett |
Date: | 2008 |
Publisher: | New York, NY : Springer New York |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | How is genetic variability shaped by natural selection, demographic factors, and random genetic drift? To approach this question, we introduce and analyze a number of probability models beginning with the basics, and ending at thefrontiers of current research. Throughout the book, the theory is developed in close connection with examples from the biology literature that illustrate the use of these results. Along the way, there are many numerical examples andgraphs to illustrate the conclusions. This is the second edition and is twice the size of the first one. The material on recombination and the stepping stone model have been greatly expanded, there are many results form the last fiveyears, and two new chapters on diffusion processes develop that v iewpoint. This book is written for mathematicians and for biologists alike. No previous knowledge of concepts from biology is assumed, and only a basic knowledge ofprobability, including some familiarity with Markov chains and Poisson processes. The book has been restructured into a large number of subsections and written in a theorem-proof style, to more clearly highlight the main results andallow readers to find the results they need and to skip the proofs if they desire. Rick Durrett received his Ph.D. in operations research from Stanford University in 1976. He taught in the UCLA mathematics department before coming toCornell in 1985. He is the author of eight books and 160 research papers, most of which concern the use of probability models in genetic s and ecology. He is the academic father of 39 Ph.D. students and was recently elected to theNational Academy of Sciences |
Note: | Springer eBooks |
Contents: | Basic Models |
Estimation and Hypothesis Testing | |
Recombination | |
Population Complications | |
Stepping Stone Model | |
Natural Selection | |
Diffusion Processes | |
Multidimensional Diffusions | |
Genome Rearrangement | |
ISBN: | 9780387781693 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Probability and its Applications, 1431-7028 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Evolution (Biology) , Genetics Mathematics , Biology Mathematics , Distribution (Probability theory) , Statistics |
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Call number: | SPRINGER-2008-9780387740751:ONLINE Show nearby items on shelf |
Title: | Model Based Inference in the Life Sciences: A Primer on Evidence [electronic resource] |
Author(s): |
David R Anderson |
Date: | 2008 |
Publisher: | New York, NY : Springer New York |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | The abstract concept of information can be quantified and this has led to many important advances in the analysis of data in the empirical sciences. This text focuses on a science philosophy based on multiple workinghypotheses and statistical models to represent them. The fundamental science question relates to the empirical evidence for hypotheses in this seta formal strength of evidence. Kullback-Leibler information is the information lostwhen a model is used to approximate full reality. Hirotugu A kaike found a link between K-L information (a cornerstone of information theory) and the maximized log-likelihood (a cornerstone of mathematical statistics). This combinationhas become the basis for a new paradigm in model based inference. The text advoca tes formal inference from all the hypotheses/models in the a priori setmultimodel inference. This compelling approach allows a simple ranking of thescience hypothesis and their models. Simple methods are introduced for computing the likelihood of model i, given the data the probability of model i, given the data and evidence ratios. These quantities represent a formal strengthof evidence and are easy to compute and understand, given the estimated model parameters and associated quantities (e.g., residual sum of squares, maximized log-likelihood, and covariance matrices). Additional forms of multimodelinference include model averaging, unconditional variances, and ways to rank the relative importance of predictor variables. This textbook is written for peo ple new to the information-theoretic approaches to statistical inference,whether graduate students, post-docs, or professionals in various universities, agencies or institutes. Readers are expected to have a background in general statistical principles, r egression analysis, and some exposure to likelihoodmethods. This is not an elementary text as it assumes reasonable competence in modeling and parameter estimation. DAVID R. ANDERSON retired |
Note: | Springer eBooks |
Contents: | Introduction |
science hypotheses and science philosophy | |
Data and models | |
Information theory and entropy | |
Quantifying the evidence about science hypotheses | |
Multimodel inference | |
Advanced topics | |
Summary | |
ISBN: | 9780387740751 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Epidemiology , Ecology , Evolution (Biology) , Social sciences Methodology |
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Call number: | SPRINGER-2007-9783764383312:ONLINE Show nearby items on shelf |
Title: | Singularly Perturbed Boundary-Value Problems [electronic resource] |
Author(s): |
Luminia Barbu Gheorghe Moroanu |
Date: | 2007 |
Publisher: | Basel : Birkhuser Basel |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | This book offers a detailed asymptotic analysis of some important classes of singularly perturbed boundary value problems which are mathematical models for various phenomena in biology, chemistry, and engineering. The authors areparticularly interest ed in nonlinear problems, which have hardly been examined so far in the literature dedicated to singular perturbations. This book proposes to fill in this gap, since most applications are described by nonlinearmodels. Their asymptotic analysis is very int eresting, but requires special methods and tools. The treatment presented in this volume combines some of the most successful results from different parts of mathematics, includingfunctional analysis, singular perturbation theory, partial differential equ ations, and evolution equations. Thus a complete justification for the replacement of various perturbed models with corresponding reduced models, which aresimpler but in general have a different character, is offered to the reader Specific applications ar e addressed, such as propagation of electromagnetic or mechanical waves, fluid flows, or diffusion processes. However, the methodspresented are also applicable to other mathematical models. The book covers mostly original results by the authors. It is des igned for researchers and graduate students |
Note: | Springer eBooks |
Contents: | Preface |
I Preliminaries | |
1. Regular and Singular Perturbations | |
2. Evolution Equations in Hilbert Spaces | |
II Singularly Perturbed Hyperbolic Problems | |
3. Presentation of the Problems | |
4. Hyperbolic Systems with Algebraic Boundary Conditions | |
5. Hyperbolic Systems with Dynamic Boundary Conditions | |
III Singularly Perturbed Coupled Boundary Value Problems | |
6. Presentation of the Problems | |
7. The Stationary Case | |
8. The Evolutionary Case | |
IV Elliptic and Hyperbolic Regularizations of Parabolic Problems | |
9. Presentation of the Problems | |
10. The Linear Case | |
11. The Nonl | |
ISBN: | 9783764383312 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | International Series of Numerical Mathematics : v156 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Differential equations, partial |
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Call number: | SPRINGER-2007-9783764381233:ONLINE Show nearby items on shelf |
Title: | Single-Cell-Based Models in Biology and Medicine [electronic resource] |
Author(s): |
Alexander R. A Anderson Mark A. J Chaplain Katarzyna A Rejniak |
Date: | 2007 |
Publisher: | Basel : Birkhuser Basel |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | To adequately describe complex spatio-temporal processes that occur in multi-cellular organisms, a class of models is required that simultaneously takes into account differences between individual cells as well as their ability tocommunicate and inte ract with one another and their environment. Single-cell-based models form a framework that allows for the explicit incorporation of different properties of individual cells, but at the same time enables all cellsto act together as one collective body. Th is leads ultimately to more biologically realistic models of heterogeneous tissues and multi-cellular organisms and allows for a better understanding of the principles underlying the complexbiological processes occurring during the formation, growth and m aintenance of multi-cellular bodies. The aim of this book is to assemble a collection of different mathematical and computational models and techniques that focus onindividual cells, cell processes and cell behaviour, that are also suitable to address pro blems on the multi-cellular or tissue scale. We would like to focus the level of the book equally to students starting their research in thefield of mathematical biology and to scientists already modelling multi-cellular processes. Therefore, our intentio n is to include in this book a detailed description of each model and an extensive review of suitable biological andmedical applications |
Note: | Springer eBooks |
Contents: | Hybrid Multiscale Models |
A Hybrid Multiscale Model of Solid Tumour Growth and Invasion: Evolution and the Microenvironment | |
Lattice | |
gas Cellular Automaton Modeling of Developing Cell Systems | |
Two | |
dimensional Multiscale Model of Cell Motion in a Chemotactic Field | |
The Cellular Potts Model and Its Variants | |
Magnetization to Morphogenesis: A Brief History of the Glazier | |
Graner | |
Hogeweg Model | |
The Cellular Potts Model and Biophysical Properties of Cells, Tissues and Morphogenesis | |
The Cellular Potts Model in Biomedicine | |
The Glazier | |
Graner | |
Hogeweg Model: Extensions, Future Directio | |
ISBN: | 9783764381233 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Mathematics and Biosciences in Interaction |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Biology Mathematics |
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Call number: | SPRINGER-2007-9783540714538:ONLINE Show nearby items on shelf |
Title: | Modelling, Analysis and Optimization of Biosystems [electronic resource] |
Author(s): |
Werner Krabs Stefan Wolfgang Pickl |
Date: | 2007 |
Publisher: | Berlin, Heidelberg : Springer Berlin Heidelberg |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Mathematical models in biology and medicine cannot be based on natural laws as it is the case with physics and chemistry. This is due to the fact that biological and medical processes are concerned with living organisms.Mathematical models, however, can be used as a language by which certain aspects of biological or medical processes can be expressed. In general, several mathematical models can be designed in order to describe a biological or medicalprocess and there is no unique criterion which mode l gives the best description. This book presents several of these models and shows applications of them to different biological and medical problems. The book shows that operationsresearch expertise is necessary in respect to modeling, analysis and optimi zation of biosystems |
Note: | Springer eBooks |
Contents: | Growth Models |
A Game | |
Theoretic Evolution Model | |
Four Models of Optimal Control in Medicine | |
A Mathematical Model of Hemodialysis | |
ISBN: | 9783540714538 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Hematology , Cytology Research_xMethodology , Biology Mathematics |
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Call number: | SPRINGER-2007-9783540344261:ONLINE Show nearby items on shelf |
Title: | Mathematics for Life Science and Medicine [electronic resource] |
Author(s): |
Yasuhiro Takeuchi Yoh Iwasa Kazunori Sato |
Date: | 2007 |
Publisher: | Berlin, Heidelberg : Springer Berlin Heidelberg |
Size: | 1 online resource |
Note: | Springer e-book platform |
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Note: | Dynamical systems theory in mathematical biology has attracted much attention from many scientific directions. The purpose of this volume is to present and discuss the many rich properties of the dynamical systems that appear inlife science and medic ine. The main topics include cancer treatment, dynamics of paroxysmal tachycardia, vector disease models, epidemic diseases and metapopulations, immune systems, pathogen competition and coexistence and theevolution of virulence and the rapid evolution of viruses within a host. Each chapter will serve to introduce students and scholars to the state-of-the-art in an exciting area, to present new results, and to inspire futurecontributions to mathematical modeling in life science and medicine |
Note: | Springer eBooks |
Contents: | Mathematical Studies of Dynamics and Evolution of Infectious Diseases |
Basic Knowledge and Developing Tendencies in Epidemic Dynamics | |
Delayed SIR Epidemic Models for Vector Diseases? | |
Epidemic Models with Population Dispersal | |
Spatial | |
Temporal Dynamics in Nonlocal Epidemiological Models | |
Pathogen Competition and Coexistence and the Evolution of Virulence | |
Directional Evolution of Virus Within a Host Under Immune Selection | |
Stability Analysis of a Mathematical Model of the Immune Response with Delays | |
Modeling Cancer Treatment Using Competition: A Survey | |
ISBN: | 9783540344261 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Biological and Medical Physics, Biomedical Engineering, 1618-7210 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Immunology , Medical virology , Biology Mathematics , Physiology Mathematics , Biomedical engineering , Engineering |
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Call number: | SPRINGER-2007-9780387687339:ONLINE Show nearby items on shelf |
Title: | Killer Cell Dynamics [electronic resource] : Mathematical and Computational Approaches to Immunology |
Author(s): |
Dominik Wodarz |
Date: | 2007 |
Publisher: | New York, NY : Springer New York |
Size: | 1 online resource |
Note: | Springer e-book platform |
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Note: | This book reviews how mathematics can be used in combination with biological data in order to improve understanding of how the immune system works. This is illustrated largely in the context of viral infections. Mathematicalmodels allow scientists to capture complex biological interactions in a clear mathematical language and to follow them to their precise logical conclusions. This can give rise to counter-intuitive insights which would not be attainedby experiments alone, and can be used for the de sign of further experiments in order to address the mathematical results. This book provides both an introduction to the field of mathematical immunology, and an overview of many topicswhich are the subject of current research, covering a broad variety of immunological topics. It starts with basic principles of immunology and covers the dynamical interactions between the immune system and specific viral infections,including important human pathogens such as HIV. General biological and mathematical backgro und material to both virus infection and immune system dynamics is provided, and each chapter begins with a simple introduction to thebiological questions examined. This book is intended for an interdisciplinary audience. It explains the concept of mathem atical modeling in immunology and shows how modeling has been used to address specific questions. It is intendedboth for the mathematical biologists who are interested in immunology, and for the biological readership that is interested in the use of mathe matical models in immunology. Dominik Wodarz is an Associate Professor at the Department ofEcology and Evolutionary Biology at the University of California, Irvine |
Note: | Springer eBooks |
Contents: | Viruses and Immune Responses: A Dynamical View |
Models of CTL Responses and Correlates of Virus Control | |
CTL Memory | |
CD4 T Cell Help | |
Immunodominance | |
Multiple Infections and CTL Dynamics | |
Control Versus CTL | |
Induced Pathology | |
Lytic Versus Nonlytic Activity | |
Dynamical Interactions Between CTL and Antibody Responses | |
Effector Molecules and CTL Homeostasis | |
Virus | |
Induced Subversion of CTL Responses | |
Boosting Immunity Against Immunosuppressive Infections | |
Evolutionary Aspects of Immunity | |
References | |
Index | |
ISBN: | 9780387687339 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Interdisciplinary Applied Mathematics, 0939-6047 : v32 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Immunology , Cytology , Ecology , Evolution (Biology) , Biology Mathematics |
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Call number: | SPRINGER-2006-9783540336549:ONLINE Show nearby items on shelf |
Title: | The Thermodynamic Machinery of Life [electronic resource] |
Author(s): |
Michal Kurzynski |
Date: | 2006 |
Publisher: | Berlin, Heidelberg : Springer Berlin Heidelberg |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Living organisms are open thermodynamic systems whose functional structure has developed and been kinetically frozen during the historical process of biological evolution. A thermodynamics of both nonequilibrium and complexsystems is needed for their description. In this book, the foundations of such a thermodynamics are presented. Biological processes at the cellular level are considered as coupled chemical reactions and transport processes acrossinternal and the cytoplasmic membrane. All these proc esses are catalyzed by specific enzymes hence the kinetics of enzymatic catalysis and its control are described here in detail. The coupling of several processes through a commonenzyme is considered in the context of free energy or signal transduction. Sp ecial attention is paid to evidence for a rich stochastic internal dynamics of native proteins and its possible role in the control of enzyme activity and inthe action of biological molecular machines |
Note: | Springer eBooks |
Contents: | Introduction: Biophysics |
The Physics of Animate Matter or an Experimental Tool of Biology? | |
Statistical Description of Matter | |
Thermodynamic State | |
Structure and Physiology of Biological Cell | |
Chemical Reactions | |
Enzymatic Catalysis | |
Biological Free Energy Transduction | |
Applicability Limits of Thermodynamics | |
ISBN: | 9783540336549 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | The Frontiers Collection, 1612-3018 |
Series: | Physics and Astronomy (Springer-11651) |
Keywords: | Chemistry, Organic , Biochemistry , Cytology , Thermodynamics , Biomedical engineering |
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Call number: | SPRINGER-2006-9783540326670:ONLINE Show nearby items on shelf |
Title: | Life: An Introduction to Complex Systems Biology [electronic resource] |
Author(s): |
Kunihiko Kaneko |
Date: | 2006 |
Publisher: | Berlin, Heidelberg : Springer Berlin Heidelberg |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | What is life? Has molecular biology given us a satisfactory answer to this question? And if not, why, and how to carry on from there? This book examines life not from the reductionist point of view, but rather asks the question:what are the universal properties of living systems and how can one construct from there a phenomenological theory of life that leads naturally to complex processes such as reproductive cellular systems, evolution and differentiation?The presentation has been deliberately kept fairly non-technical so as to address a broad spectrum of students and researchers from the natural sciences and informatics |
Note: | Springer eBooks |
Contents: | From the contents 1 Introduction |
Problems in Molecular Biology | |
2 Constructive Biology | |
3 Basic Concepts in Dynamical Systems and Statistical Physics for Biology | |
4 The Origin of Hededity and Bioinformation | |
5 Origin of a Cell with Recursive Production and Evolvability | |
6 Universal Statistical Properties of a Cell with Recursive Production | |
7 Cell Differentiation and Development I | |
8 Cell Differentiation and Development II: Stem Cells | |
9 Pattern Formation and the Origin of Positional Information | |
10 The Evolution of Diversity | |
11 Remarks on Other Biological Problems from t | |
ISBN: | 9783540326670 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Understanding Complex Systems, 1860-0832 |
Series: | Physics and Astronomy (Springer-11651) |
Keywords: | Artificial intelligence , Mathematics , Biomedical engineering , Engineering |
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Call number: | SPRINGER-2006-9783540304319:ONLINE Show nearby items on shelf |
Title: | Patterns and Interfaces in Dissipative Dynamics [electronic resource] |
Author(s): |
L.M Pismen |
Date: | 2006 |
Publisher: | Berlin, Heidelberg : Springer Berlin Heidelberg |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Spontaneous pattern formation in nonlinear dissipative systems far from equilibrium is a paradigmatic case of emergent behaviour associated with complex systems. It is encountered in a great variety of settings, both in nature andtechnology, and has numerous applications ranging from nonlinear optics through solid and fluid mechanics, physical chemistry and chemical engineering to biology. Nature creates its variety of forms through spontaneous patternformation and self-assembly, and this strategy is likely to be imitated by future biomorphic technologies. This book is a first-hand account by one of the leading players in this field, which gives in-depth descriptions of analyticalmethods elucidating the complex evolution of nonlinear dissipative syst ems, and brings the reader to the forefront of current research. The introductory chapter on the theory of dynamical systems is written with a view to applicationsof its powerful methods to spatial and spatio-temporal patterns. It is followed by two chapt ers treating moving interfaces, based largely on reaction-diffusion and phase-separating systems. The following two chapters on amplitudeequations for patterns and waves describe universal phenomena generated by representative equations which can be deriv ed for a variety of non-equilibrium systems originating in fluid mechanics, physical chemistry or nonlinear optics.This book addresses graduate students and non-specialists from the many related areas of applied mathematics, physical chemistry, chemical e ngineering and biology, as well as the seasoned scientist in search of a modern source ofreference |
Note: | Springer eBooks |
Contents: | Dynamics, Stability and Bifurcations |
Fronts and Interfaces | |
Systems with Separated Scales | |
Amplitude Equations for Patterns | |
Amplitude Equations for Waves | |
ISBN: | 9783540304319 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Springer Series in Synergetics, 0172-7389 |
Series: | Physics and Astronomy (Springer-11651) |
Keywords: | Chemistry Mathematics , Mathematics , Thermodynamics , Engineering |
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Call number: | SPRINGER-2006-9781402048807:ONLINE Show nearby items on shelf |
Title: | Functional Approach to Nonlinear Models of Water Flow in Soils [electronic resource] |
Author(s): |
Gabriela Marinoschi |
Date: | 2006 |
Publisher: | Dordrecht : Springer Netherlands |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | This book is a work of applied mathematics focusing on the functional study of the nonlinear boundary value problems relating to water flow in porous media. As far as revealed by the literature, a systematic study of these modelswithin the above ment ioned framework has not been done and the book has been written with the belief that the abstract theory may be sometimes easier and richer in consequences for applications than standard classical approaches are.The volume deals with diffusion type models and emphasizes the mathematical treatment of their nonlinear aspects. A unifying functional approach to different boundary value problems modelling the water movement in porous media ispresented, and the high degree of generality and abstraction, kept ho wever within reasonable limits, is rewarded by the richness of the results obtained in this way. From the mathematical point of view the results obtained can beconsidered as general results in the theory of nonlinear parabolic equations. Although water fl ow in soils was the principal exemplification for the functional treatment, the techniques used within the book and the results obtainedhere turn out useful for studying other appropriate problems arising in general in the movement of fluids in porous med ia, in the heat theory, phase transitions, biology, chemistry or engineering |
Note: | Springer eBooks |
Contents: | Foreword. Introduction |
Part I Modelling water infiltration in soils. 1 Brief overview of unsaturated flow concepts. 2 Settlement of the mathematical models of nonhysteric infiltration | |
Part II Analysis of infiltration models. 3 Basic existence theorems for evolution equations. 4 Functional approach to the quasi | |
unsaturated infiltration. 5 Functional approach to the saturated | |
unsaturated infiltration model | |
Part III Inverse problems in infiltration. 7 Identification of the boundary conditions from recorded observations | |
Part IV Appendix | |
ISBN: | 9781402048807 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Differential equations, partial , Fluids , Environmental sciences , Soil conservation |
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Call number: | SPRINGER-2006-9780817645038:ONLINE Show nearby items on shelf |
Title: | Mathematical Modeling of Complex Biological Systems [electronic resource] : A Kinetic Theory Approach |
Author(s): |
Abdelghani Bellouquid Marcello Delitala |
Date: | 2006 |
Publisher: | Boston, MA : Birkhuser Boston |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | This book describes the evolution of several socio-biological systems using mathematical kinetic theory. Specifically, it deals with modeling and simulations of biological systemscomprised of large populations of interactingcellswhose dynamics follow the rules of mechanics as well as rules governed by their own ability to organize movement and biological functions. The authors propose a new biological model for the analysis of competition between cellsof an aggressive host and cells of a correspondin g immune system. Because the microscopic description of a biological system is far more complex than that of a physical system of inert matter, a higher level of analysis is needed todeal with such complexity. Mathematical models using kinetic theory may represent a way to deal with such complexity, allowing for an understanding of phenomena of nonequilibrium statistical mechanics not described by the traditionalmacroscopic approach. The proposed models are related to the generalized Boltzmann equation an d describe the population dynamics of several interacting elements (kinetic population models). The particular models proposed by the authorsare based on a framework related to a system of integro-differential equations, defining the evolution of the dist ribution function over the microscopic state of each element in a given system. Macroscopic information on the behaviorof the system is obtained from suitable moments of the distribution function over the microscopic states of the elements involved. The b ook follows a classical research approach applied to modeling real systems, linking the observationof biological phenomena, collection of experimental data, modeling, and computational simulations to validate the proposed models. Qualitative analysis tech niques are used to identify the prediction ability of specific models. The bookwill be a valuable resource for applied mathematicians as well as researchers in the field of biological sciences. It |
Note: | Springer eBooks |
Contents: | Preface |
On the Modelling of Complex Biological Systems | |
Mathematical Frameworks of the Generalized Kinetic (Boltzmann) Theory | |
Modelling the Immune Competition and Applications | |
On the Cauchy Problem | |
Simulations, Biological Interpretations, and Further Modelling Perspectives | |
Models with Space Structure and Derivation of Macroscopic Equations | |
Critical Analysis and Forward Perspectives | |
Appendix. Basic Tools of Mathematical Kinetic Theory | |
Glossary | |
References | |
Index | |
ISBN: | 9780817645038 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Modeling and Simulation in Science, Engineering and Technology |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Genetics Mathematics , Biology Mathematics , Physiology Mathematics , Biomedical engineering |
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Call number: | SPRINGER-2006-9780387366197:ONLINE Show nearby items on shelf |
Title: | A Short Course on Operator Semigroups [electronic resource] |
Author(s): |
Klaus-Jochen Engel Rainer Nagel |
Date: | 2006 |
Publisher: | New York, NY : Springer New York |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | The book gives a streamlined and systematic introduction to strongly continuous semigroups of bounded linear operators on Banach spaces. It treats the fundamental Hille-Yosida generation theorem as well as perturbation andapproximation theorems for g enerators and semigroups. The special feature is its treatment of spectral theory leading to a detailed qualitative theory for these semigroups. This theory provides a very efficient tool for the study oflinear evolution equations arising as partial diffe rential equations, functional differential equations, stochastic differential equations, and others. Therefore, the book is intended for those wanting to learn and apply functionalanalytic methods to linear time dependent problems arising in theoretical a nd numerical analysis, stochastics, physics, biology, and other sciences. It should be of interest to graduate students and researchers in these fields |
Note: | Springer eBooks |
Contents: | Preface |
Introduction | |
Semigroups, Generators, and Resolvents | |
Perturbation of Semigroups | |
Approximation of Semigroups | |
Spectral Theory and Asymptotics for Semigroups | |
Positive Semigroups | |
Appendix | |
References | |
Selected References to Recent Research | |
List of Symbols and Abbreviations | |
Index | |
ISBN: | 9780387366197 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Universitext |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Global analysis (Mathematics) , Operator theory |
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Call number: | SPRINGER-2006-9780387351001:ONLINE Show nearby items on shelf |
Title: | Analysis of Phylogenetics and Evolution with R [electronic resource] |
Author(s): |
Emmanuel Paradis |
Date: | 2006 |
Publisher: | New York, NY : Springer New York |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | The increasing availability of molecular and genetic databases coupled with the growing power of computers gives biologists opportunities to address new issues, such as the patterns of molecular evolution, and re-assess old ones,such as the role of a daptation in species diversification. This book integrates a wide variety of data analysis methods into a single and flexible interface: the R language. This open source language is available for a wide range ofcomputer systems and has been adopted as a c omputational environment by many authors of statistical software. Adopting R as a main tool for phylogenetic analyses will ease the workflow in biologists' data analyses, ensure greaterscientific repeatability, and enhance the exchange of ideas and method ological developments. Graduate students and researchers in evolutionary biology can use this book as a reference for data analyses, whereas researchers inbioinformatics interested in evolutionary analyses will learn how to implement these methods in R. T he book starts with a presentation of different R packages and gives a short introduction to R for phylogeneticists unfamiliar withthis language. The basic phylogenetic topics are covered: manipulation of phylogenetic data, phylogeny estimation, tree draw ing, phylogenetic comparative methods, and estimation of ancestral characters. The chapter on tree drawing usesR's powerful graphical environment. A section deals with the analysis of diversification with phylogenies, one of the author's favorite research topics. The last chapter is devoted to the development of phylogenetic methods with R andinterfaces with other languages (C and C++). Some exercises conclude these chapters. Emmanuel Paradis is an evolutionary biologist at the Centre National de la Reche rche Scientifique (CNRS) and the Institut de Recherche pour leDveloppement (IRD) in Montpellier. He received his Doctorate Diploma in population biology and ecology in 1993 at the University of Montpe |
Note: | Springer eBooks |
Contents: | First Steps in R for Phylogeneticists |
Phylogenetic Data in R | |
Plotting Phylogenies | |
Phylogeny Estimation | |
Analysis of Macroevolution with Phylogenies | |
Developing and Implementing Phylogenetic Methods in R | |
ISBN: | 9780387351001 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Use R |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Bioinformatics , Evolution (Biology) |
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Call number: | SPRINGER-2006-9780387339160:ONLINE Show nearby items on shelf |
Title: | Power Laws, Scale-Free Networks and Genome Biology [electronic resource] |
Author(s): |
Eugene V Koonin Yuri I Wolf Georgy P Karev |
Date: | 2006 |
Publisher: | Boston, MA : Springer US |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Power Laws, Scale-free Networks and Genome Biology deals with crucial aspects of the theoretical foundations of systems biology, namely power law distributions and scale-free networks which have emerged as the hallmarks ofbiological organization in t he post-genomic era. The chapters in the book not only describe the interesting mathematical properties of biological networks but moves beyond phenomenology, toward models of evolution capable of explainingthe emergence of these features. The collection of chapters, contributed by both physicists and biologists, strives to address the problems in this field in a rigorous but not excessively mathematical manner and to represent differentviewpoints, which is crucial in this emerging discipline. Each chapte r includes, in addition to technical descriptions of properties of biological networks and evolutionary models, a more general and accessible introduction to therespective problems. Most chapters emphasize the potential of theoretical systems biology for discovery of new biological phenomena |
Note: | Springer eBooks |
Contents: | The Architecture of the Cell: Scaling and Hierarchy in Cellular Networks |
Classification of Scale | |
Free Networks | |
Wide Spread Occurrence of Power Law Behavior in Genomic Biology | |
Detection of Topological Patterns in Protein | |
Binding and Transcription Regulation Networks | |
The Structure of Metabolic and Protein Interaction Networks: Design, History, or (mere) Chemistry? | |
Protein | |
Protein Interaction Networks | |
The Society of Genes: Networks of Functional Links Between Genes from Comparative Genomics | |
Emergence of Patterns in Gene Networks | |
Mathematical Modeling of Genome Evolution: O | |
ISBN: | 9780387339160 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Molecular Biology Intelligence Unit |
Series: | Physics and Astronomy (Springer-11651) |
Keywords: | Biochemistry , Proteomics , Bioinformatics , Microbial genetics , Biomedical engineering |
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Call number: | SPRINGER-2006-9780387319094:ONLINE Show nearby items on shelf |
Title: | Evolutionary Computation for Modeling and Optimization [electronic resource] |
Author(s): |
Daniel Ashlock |
Date: | 2006 |
Publisher: | New York, NY : Springer New York |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Evolutionary Computation for Optimization and Modeling is an introduction to evolutionary computation, a field which includes genetic algorithms, evolutionary programming, evolution strategies, and genetic programming. The text isa survey of some app lication of evolutionary algorithms. It introduces mutation, crossover, design issues of selection and replacement methods, the issue of populations size, and the question of design of the fitness function. It alsoincludes a methodological material on eff icient implementation. Some of the other topics in this book include the design of simple evolutionary algorithms, applications to several types of optimization, evolutionary robotics, simpleevolutionary neural computation, and several types of automatic programming including genetic programming. The book gives applications to biology and bioinformatics and introduces a number of tools that can be used in biologicalmodeling, including evolutionary game theory. Advanced techniques such as cellular encoding , grammar based encoding, and graph based evolutionary algorithms are also covered. This book presents a large number of homework problems,projects, and experiments, with a goal of illustrating single aspects of evolutionary computation and comparing diff erent methods. Its readership is intended for an undergraduate or first-year graduate course in evolutionarycomputation for computer science, engineering, or other computational science students. Engineering, computer science, and applied math students wi ll find this book a useful guide to using evolutionary algorithms as a problem solvingtool |
Note: | Springer eBooks |
Contents: | An Overview of Evolutionary Computation |
Designing Simple Evolutionary Algorithms | |
Optimizing Real | |
Valued Functions | |
Sunburn: Coevolving Strings | |
Small Neural Nets : Symbots | |
Evolving Finite State Automata | |
Ordered Structures | |
Plus | |
One | |
Recall | |
Store | |
Fitting to Data | |
Tartarus: Discrete Robotics | |
Evolving Logic Functions | |
ISAc List: Alternative Genetic Programming | |
Graph | |
Based Evolutionary Algorithms | |
Cellular Encoding | |
Application to Bioinformatics | |
ISBN: | 9780387319094 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Artificial intelligence , Bioinformatics , Algorithms |
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Call number: | SPRINGER-2005-9783540276982:ONLINE Show nearby items on shelf |
Title: | Information and Its Role in Nature [electronic resource] |
Author(s): |
Juan G Roederer |
Date: | 2005 |
Publisher: | Berlin, Heidelberg : Springer Berlin Heidelberg |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Infromation and Its Role in Nature presents an in-depth interdisciplinary discussion of the concept of information and its role in the control of natural processes. After a brief review of classical and quantum information theory,the author addresses numerous central questions, including: Is information reducible to the laws of physics and chemistry? Does the Universe, in its evolution, constantly generate new information? Or are information andinformation-processing exclusive attributes of living sy stems, related to the very definition of life? If so, what is the role of information in classical and quantum physics? In what ways does information-processing in the human brainbring about self-consciousness? Accessible to graduate students and professi onals from all scientific disciplines, this stimulating book will help to shed light on many controversial issues at the heart of modern science |
Note: | Springer eBooks |
Contents: | Elements of Classical Information Theory |
Elements of Quantum Information Theory | |
Classical, Quantum and Information | |
Driven Interactions | |
The Active Role of Information in Biological Systems | |
The Passive Role of Information in Physics | |
Information and the Brain | |
ISBN: | 9783540276982 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | The Frontiers Collection, 1612-3018 |
Series: | Physics and Astronomy (Springer-11651) |
Keywords: | Computer science , Life sciences , Evolution (Biology) , Mathematics |
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Call number: | SPRINGER-2005-9780387277332:ONLINE Show nearby items on shelf |
Title: | Statistical Methods in Molecular Evolution [electronic resource] |
Author(s): |
Rasmus Nielsen |
Date: | 2005 |
Publisher: | New York, NY : Springer New York |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | In the field of molecular evolution, inferences about past evolutionary events are made using molecular data from currently living species. With the availability of genomic data from multiple related species, molecular evolutionhas become one of the most active and fastest growing fields of study in genomics and bioinformatics. Most studies in molecular evolution rely heavily on statistical procedures based on stochastic process modelling and advancedcomputational methods including high-dimensional n umerical optimization and Markov Chain Monte Carlo. This book provides an overview of the statistical theory and methods used in studies of molecular evolution. It includes anintroductory section suitable for readers that are new to the field, a section d iscussing practical methods for data analysis, and more specialized sections discussing specific models and addressing statistical issues relating toestimation and model choice. The chapters are written by the leaders in the field and they will take the r eader from basic introductory material to the state-of the-art statistical methods. This book is suitable for statisticiansseeking to learn more about applications in molecular evolution and molecular evolutionary biologists with an interest in learning m ore about the theory behind the statistical methods applied in the field. The chapters of the bookassume no advanced mathematical skills beyond basic calculus, although familiarity with basic probability theory will help the reader. Most relevant statisti cal concepts are introduced in the book in the context of their application inmolecular evolution, and the book should be accessible for most biology graduate students with an interest in quantitative methods and theory. Rasmus Nielsen received his Ph.D. form the University of California at Berkeley in 1998 andafter a postdoc at Harvard University, he assumed a faculty position in Statistical Genomics at Cornell University. He is currently an Ole Rmer |
Note: | Springer eBooks |
Contents: | Markov Models in Molecular Evolution |
to Applications of the Likelihood Function in Molecular Evolution | |
to Markov Chain Monte Carlo Methods in Molecular Evolution | |
Population Genetics of Molecular Evolution | |
Practical Approaches for Data Analysis | |
Maximum Likelihood Methods for Detecting Adaptive Protein Evolution | |
HyPhy: Hypothesis Testing Using Phylogenies | |
Bayesian Analysis of Molecular Evolution Using MrBayes | |
Estimation of Divergence Times from Molecular Sequence Data | |
Models of Molecular Evolution | |
Markov Models of Protein Sequence Evolution | |
Models of Microsatelli | |
ISBN: | 9780387277332 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Statistics for Biology and Health, 1431-8776 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Bioinformatics , Evolution (Biology) , Plant breeding , Genetics Mathematics , Biology Mathematics |
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Call number: | SPRINGER-2005-9780387274249:ONLINE Show nearby items on shelf |
Title: | Pumps, Transporters, and Ion Channels [electronic resource] : Studies on Their Structure, Function, and Cell Biology |
Author(s): |
Francisco V Seplveda Francisco Bezanilla |
Date: | 2005 |
Publisher: | Boston, MA : Springer US |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Springer eBooks |
Contents: | From the contents: Channels and Pumps Early in Evolution The Possible Role of Aquaporin 0 in Lens Physiology |
Central Role of the Ca2+i Regulatory Site in Ionic and Metabolic Modulation of Na+/Ca2+ Exchanger in Dialyzed Squid Axons | |
Calcium Dependence of Calcium Release Channels (Ryanodine Receptors) from Skeletal and Cardiac Muscle | |
Modulation of Ryanodine Receptor Channels from Rat Brain Cortex in Lipid Bilayers | |
Exocytic Pathway Check Points for Functional Potassium Channels in the Plasma Membrane | |
C | |
Termini Region Shared by 2A, 1B, and 3 Subunits Confer Prepulse Facilit | |
ISBN: | 9780387274249 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Series of the Centro de Estudios Cientficos, 1571-571X |
Series: | Physics and Astronomy (Springer-11651) |
Keywords: | Molecular structure , Plasma (Ionized gases) , Superconductivity , Biomedical engineering |
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Call number: | SPRINGER-2005-9780387266480:ONLINE Show nearby items on shelf |
Title: | Statistical Methods in Bioinformatics [electronic resource] : An Introduction |
Author(s): |
Warren J Ewens Gregory Grant |
Date: | 2005 |
Edition: | Second Edition |
Publisher: | New York, NY : Springer New York |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Advances in computers and biotechnology have had a profound impact on biomedical research, and as a result complex data sets can now be generated to address extremely complex biological questions. Correspondingly, advances in thestatistical methods n ecessary to analyze such data are following closely behind the advances in data generation methods. The statistical methods required by bioinformatics present many new and difficult problems for the researchcommunity. This book provides an introduction to some of these new methods. The main biological topics treated include sequence analysis, BLAST, microarray analysis, gene finding, and the analysis of evolutionary processes. The mainstatistical techniques covered include hypothesis testing and estimatio n, Poisson processes, Markov models and Hidden Markov models, and multiple testing methods. The second edition features new chapters on microarray analysis and onstatistical inference, including a discussion of ANOVA, and discussions of the statistical th eory of motifs and methods based on the hypergeometric distribution. Much material has been clarified and reorganized. The book is written soas to appeal to biologists and computer scientists who wish to know more about the statistical methods of the fiel d, as well as to trained statisticians who wish to become involved with bioinformatics. The earlier chapters introducethe concepts of probability and statistics at an elementary level, but with an emphasis on material relevant to later chapters and often not covered in standard introductory texts. Later chapters should be immediately accessible to thetrained statistician. Sufficient mathematical background consists of introductory courses in calculus and linear algebra. The basic biological concepts that are used are explained, or can be understood from the context, and standardmathematical concepts are summarized in an Appendix. Problems are provided at the end of each chapter allowing the reader to de |
Note: | Springer eBooks |
Contents: | Probability Theory (i): One Random Variable |
Probability Theory (ii): Many Random Variables | |
Statistics (i): An Introduction to Statistical Inference | |
Stochastic Processes (i): Poisson Processes and Markov Chains | |
The Analysis of One DNA Sequence | |
The Analysis of Multiple DNA or Protein Sequences | |
Stochastic Processes (ii): Random Walks | |
Statistics (ii): Classical Estimation Theory | |
Statistics (iii): Classical Hypothesis Testing Theory | |
BLAST | |
Stochastic Processes (iii): Markov Chains | |
Hidden Markov Models | |
Gene Expression, Microarrays, and Multiple Testing | |
Evolution | |
ISBN: | 9780387266480 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Statistics for Biology and Health, 1431-8776 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Bioinformatics , Biology Mathematics |
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