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SPIRES-BOOKS: FIND KEYWORD COMPUTATIONAL BIOLOGY *END*INIT* use /tmp/qspiwww.webspi1/10473.76 QRY 131.225.70.96 . find keyword computational biology ( in books using www Cover
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Call number:9783319520452:ONLINE Show nearby items on shelf
Title:Information Geometry and Population Genetics The Mathematical Structure of the Wright-Fisher Model
Author(s): Julian Hofrichter
Date:2017
Size:1 online resource (XII, 320 p. 3 illus., 2 illus. in color p.)
Contents:1. Introduction -- 2. The Wright–Fisher model -- 3. Geometric structures and information geometry -- 4. Continuous approximations -- 5. Recombination -- 6. Moment generating and free energy functionals -- 7. Large deviation theory --
8. The forward equation -- 9. The backward equation -- 10.Applications -- Appendix -- A. Hypergeometric functions and their generalizations -- Bibliography
ISBN:9783319520452
Series:eBooks
Series:Springer eBooks
Series:Springer 2017 package
Keywords: Mathematics , Human genetics , Mathematical analysis , Analysis (Mathematics) , Geometry , Probabilities , Biomathematics , Statistics , Mathematics , Mathematical and Computational Biology , Statistical Theory and Methods , Human Genetics , Analysis , Geometry , Probability Theory and Stochastic Processes
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Call number:9783319459011:ONLINE Show nearby items on shelf
Title:First Complex Systems Digital Campus World E-Conference 2015
Author(s):
Date:2017
Size:1 online resource (VIII, 424 p. 120 illus., 96 illus. in color p.)
Contents:Welcome to CS-DC’15 -- Reconstructing multi-scale dynamics -- Machine learning methods -- A formal model to compute uncertain continuous data -- Knowledge maps -- Analysis of a Planetary Scale Scientific Collaboration Dataset Reveals
Novel Patterns -- Epistemology of integrative and predictive sciences -- Information science and the complexity: are we orientated to a transdisciplinary science? -- Synthesis of ecology, biology and ethnographic data -- Bayesian
Causalities, Mappings, and Phylogenies: A Social Science Gateway for Modeling Complexity in Ethnographic, Archaeo-, Eco- and Bio-logical Variables -- Multi-level modeling -- Statistical and dynamical properties of networks -- Community
detection as an efficient way to attack real networks -- From particles to complex matter -- Chemical garden -- Assembly of molecular metal oxides from the nano to the macroscale via chemical gardens -- Physics of complex systems --
Viscosity scaling in hydrodynamic instabilities in porous media -- A general approach to the linear stability analysis of miscible viscous fingering in porous media -- From individual to social cognition -- From individual to social
cognition: Piaget, Jung and commons -- Ecological approach of sport and sport education -- Ecological Dynamics: a theoretical framework for understanding sport performance, physical education and physical -- Emerging dance movements
under ecological constraints in Contact Improvisation dancers with different background -- Emerging collective shared behaviors from individual exploration in football small-sided games -- Adaptability in swimming pattern: how do
swimmers adapt propulsive action as a function of speed? -- Backstroke start performance prediction -- Flexible perception-action strategies for follow-the-leader coordination -- Dynamic process of pulmonary data analysis: from the
athlete mouth to the coach’s hands -- From processing units to computational ecosystems to the cloud -- A multi-agent system approach to load-balancing and resource allocation for distributed computing -- Integrative science of
education -- POEM-COPA Collaborative Open Peer Assessment -- Implications of agent-based computational modeling and simulation for preventive education in children with ADHD -- MOOC as a complex system -- From fields to territories to
the planet -- Integrative logistics -- Logistics and Territory integrative approach -- Process modeling of an international transport chain through the simulation tool SIMPROCESS -- Dynamic emissions reduction from vehicles with
technical and behavioral approach -- 4p-factories (e-lab) -- Is the Lean Organisation a complex system? -- An artificial immune ecosystem model for hybrid cloud supervision -- Engineering of territory sustainability -- Spatialisation
of Soil Erosion Susceptibility Using USLE Model -- Social patterns in multicultural environments Matrimonial patterns and trans-ethnic entities -- Economics as a complex evolutionist system -- A study of heterogeneity in a stock market
simulator based on a model of agents that learn from experience in a market with multiple stocks -- Are innovation systems complex systems? -- From molecules to ecosphere -- Ocean biogeochemical dynamics -- Frontal systems as
mechanisms of fish aggregation -- Lagrangian approach to phytoplankton mesoscale biogeography in the Kerguelen region -- Lyapunov exponents and oceanic fronts.
ISBN:9783319459011
Series:eBooks
Series:Springer eBooks
Series:Springer 2017 package
Keywords: Physics , Data mining , System theory , Computational intelligence , Complexity, Computational , Physics , Complex Systems , Complex Systems , Complexity , Data Mining and Knowledge Discovery , Computational Intelligence , Biological and Medical Physics, Biophysics
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Call number:9783319458090:ONLINE Show nearby items on shelf
Title:Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry
Author(s):
Date:2017
Size:1 online resource (VIII, 295 p. 106 illus., 83 illus. in color p.)
Contents:Transformation, normalization and batch effect in the analysis of mass spectrometry data for omics studies -- Automated Alignment of Mass Spectrometry Data Using Functional Geometry -- The analysis of peptide-centric mass spectrometry
data utilizing information about the expected isotope distribution -- Probabilistic and likelihood-based methods for protein identification from MS/MS data -- An MCMC-MRF Algorithm for Incorporating Spatial Information in IMS Data
Processing -- Mass Spectrometry Analysis Using MALDIquant -- Model-based analysis of quantitative proteomics data with data independent acquisition mass spectrometry -- The analysis of human serum albumin proteoforms using
compositional framework -- Variability Assessment of Label-Free LC-MS Experiments for Difference Detection -- Statistical approach for biomarker discovery using label-free LC-MS data - an overview -- Bayesian posterior integration for
classification of mass spectrometry data -- Logistic regression modeling on mass spectrometry data in proteomics case-control discriminant studies -- Robust and confident predictor selection in metabolomics -- On the combination of
omics data for prediction of binary Outcomes -- Statistical analysis of lipidomics data in a case-control study
ISBN:9783319458090
Series:eBooks
Series:Springer eBooks
Series:Springer 2017 package
Keywords: Statistics , Analytical chemistry , Mathematical statistics , Bioinformatics , Biostatistics , Metabolism , Statistics , Statistics for Life Sciences, Medicine, Health Sciences , Biostatistics , Metabolomics , Computational Biology/Bioinformatics , Analytical Chemistry , Probability and Statistics in Computer Science
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Call number:9783319457611:ONLINE Show nearby items on shelf
Title:Environmental Radiation Effects on Mammals A Dynamical Modeling Approach
Author(s): Olga A Smirnova
Date:2017
Edition:2nd ed. 2017
Size:1 online resource (XXIII, 359 p. 203 illus., 4 illus. in color p.)
Contents:Effects of Acute and Chronic Irradiation on the Blood-Forming System -- Effects of Non-Uniform Acute Irradiation on the Blood-Forming System. - The Small Intestine as a Target for Radiation -- Radiation and Humoral Immunity --
Modeling of Autoimmune Processes -- Individual-Based Approach to Risk Assessment of Radiation-Induced Mortality -- Effects of Acute and Chronic Irradiation on Human Hematopoiesis. - Radiogenic Leukemia Risk Assessment. - Radiation and
Skin. - Conclusions -- Index
ISBN:9783319457611
Series:eBooks
Series:Springer eBooks
Series:Springer 2017 package
Keywords: Physics , Radiology , Occupational medicine , Animal physiology , Biomathematics , Aerospace engineering , Astronautics , Physics , Biological and Medical Physics, Biophysics , Occupational Medicine/Industrial Medicine , Aerospace Technology and Astronautics , Imaging / Radiology , Animal Physiology , Mathematical and Computational Biology
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Call number:9783319444185:ONLINE Show nearby items on shelf
Title:Space, Time and the Limits of Human Understanding
Author(s):
Date:2017
Size:1 online resource (XXIII, 530 p. 51 illus p.)
Contents:Philosophy: Śrīharṣa on the Indefinability of Time by Jonathan Duquette and Krishnamurti Ramasubramanian -- Why Spacetime Has a Life of its Own by James Robert Brown -- From Time to Time by Nathan Salmon -- Relativity Theory may not
have the last Word on the Nature of Time: Quantum Theory and Probabilism by Nicholas Maxwell -- Space as a Source and as an Object of Knowledge: The Transformation of the Concept of Space in the Post-Kantian Philosophy of Geometry by
Francesca Biagioli -- Space, Time and (how they) Matter by Valia Allori -- The Phenomenology of Space and Time: Husserl, Sartre, Derrida by Hans Herlof Grelland -- Time and Space in Ancient India, Pre­-Philosophical Period by Michael
Witzel and Nataliya Yanchevskaya -- Time in Physics and Time in Awareness by E. C. G. Sudarshan -- Physics: The Future’s Not Ours to See, by Tony Sudbury -- Nature’s Book Keeping System by Gerard ‘t Hooft -- An anomaly in space and
time and the origin of dynamics by Joan A. Vaccaro -- Spacetime and Reality: Facing the Ultimate Judge by Vesselin Petkov -- Hermann Weyl’s Space-Time Geometry and its Impact on Theories of Fundamental Interactions by Norbert Straumann
-- Space, Time, and Adynamical Explanation in the Relational Blockworld by W.M. Stuckey, Michael Silberstein, and Timothy McDevitt -- Matter, Space, Time, and Motion: A Unified Gravitational Perspective by C. S. Unnikrishnan --
Spacetime is Doomed by George Musser -- Mathematics: Geometry and Physical Space by Mary Leng -- The Geometry of Manifolds and the Perception of Space by Raymond O. Wells, Jr -- Topos Theoretic Approach to Space and Time by Goro C.
Kato -- Paradox? The Mathematics of Space-Time and the Limits of Human Understanding by Paul Ernest -- General Relativity, Time, and Determinism by James Isenberg -- “Now” has an infinitesimal positive duration by Reuben Hersh -- The
Fundamental Problem of Dynamics by Julian Barbour -- What’s wrong with the Platonic ideal of space and time? by Lorenzo Sadun -- Biology/Cognitive Science: Syntactic Space by Rajesh Kasturirangan -- Time measurement in living systems:
Human understanding and health implications by L Abhilash and Vijay Kumar Sharma -- The cellular space-the space of life by Pier Luigi Luisi -- The consciousness of space, the space of consciousness by Mauro Bergonzi and Pier Luigi
Luisi -- Time and Suffering (False metaphors, (de)synchronous times, and internal dynamics) by Norman Sieroka -- Evolutionary Time and the Creation of the Space of Life by Randall E. Auxier -- Computer Science: A computational
mathematics view of space, time and complexity by David H. Bailey and Jonathan M. Borwein -- The Black Hole in Mathematics by A. K. Dewdney -- Gödel’s Ontological Dreams by Gary Mar -- ‘Photographing the Footsteps of Time’: Space and
Time in Charles Babbage’s Calculating Engines by Doron Swade -- Gödel incompleteness and the empirical sciences by N. C. A. da Costa and F. A. Doria -- Miscellaneous: The Novel and the Map: Spatiotemporal Form and Discourse in Literary
Cartography by Robert T. Tally Jr -- Time, Space, and the Human Geographies of Opportunity by Donald G. Janelle -- Losing Time and Space: Experiencing Immersion by Diana J. Reichenbach. <
ISBN:9783319444185
Series:eBooks
Series:Springer eBooks
Series:Springer 2017 package
Keywords: Physics , Epistemology , Metaphysics , Gravitation , Cosmology , Physics , Classical and Quantum Gravitation, Relativity Theory , Epistemology , History and Philosophical Foundations of Physics , Cosmology , Metaphysics
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Call number:1118893689:ONLINE Show nearby items on shelf
Title:Pattern Recognition in Computational Molecular Biology: Techniques and Approaches
Author(s): Elloumi
Date:2015
Publisher:Wiley
Size:1 online resource (657 p.)
ISBN:9781118893685
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Electrical & Electronics Engineering
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Call number:0471784095:ONLINE Show nearby items on shelf
Title:Grid Computing for Bioinformatics and Computational Biology
Author(s): Talbi
Date:2007
Publisher:Wiley-Interscience
Size:1 online resource (393 p.)
ISBN:9780471784098
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: General Computing
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Call number:0471718483:ONLINE Show nearby items on shelf
Title:Parallel Computing for Bioinformatics and Computational Biology, Online Version
Author(s): Zomaya
Date:2006
Publisher:Wiley-Interscience
Size:1 online resource (817 p.)
ISBN:9780471718482
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: General Computing
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Call number:0470505192:ONLINE Show nearby items on shelf
Title:Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications
Author(s): Elloumi
Date:2011
Publisher:Wiley
Size:1 online resource (1081 p.)
ISBN:9780470505199
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Mathematics
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Call number:SPRINGER-2016-9783662490785:ONLINE Show nearby items on shelf
Title:Boundaries of a Complex World
Author(s): Andrei Ludu
Date:2016
Edition:1st ed. 2016
Size:1 online resource (112 p.)
Note:10.1007/978-3-662-49078-5
Contents:Part I Arts and Nonlinear Systems: `Nonlineart' -- Part II Mathematical Language -- Part III Applications -- Conclusions -- References
ISBN:9783662490785
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Physical geography , Systems biology , Ecology , System theory , Statistical physics , Complexity, Computational , Physics , Nonlinear Dynamics , Complex Systems , Complexity , Systems Biology , Theoretical Ecology/Statistics , Earth System Sciences
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Call number:SPRINGER-2016-9783662475003:ONLINE Show nearby items on shelf
Title:Replication of Chaos in Neural Networks, Economics and Physics
Author(s): Marat Akhmet
Date:2016
Edition:1st ed. 2016
Size:1 online resource (133 p.)
Note:10.1007/978-3-662-47500-3
Contents:Introduction -- Replication of Continuous Chaos about Equilibria -- Chaos Extension in Hyperbolic Systems -- Entrainment by Chaos -- Chaotification of Impulsive Systems by Perturbations -- Chaos Generation in Continuous/Discrete-Time
Models -- Economic Models with Deterministic Chaos as Generated by Exogenous Continuous/Discrete Shocks -- Replication of Chaos by Neural Networks -- ntrainment by Spatiotemporal Chaos in Glow Discharge-Semiconductor Systems
ISBN:9783662475003
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Difference equations , Functional equations , Biomathematics , Statistical physics , Mechanics , Mechanics, Applied , Economic theory , Physics , Nonlinear Dynamics , Difference and Functional Equations , Theoretical and Applied Mechanics , Economic Theory/Quantitative Economics/Mathematical Methods , Mathematical and Computational Biology
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Call number:SPRINGER-2016-9783658132347:ONLINE Show nearby items on shelf
Title:Analysis of Single-Cell Data ODE Constrained Mixture Modeling and Approximate Bayesian Computation
Author(s): Carolin Loos
Date:2016
Edition:1st ed. 2016
Size:1 online resource (92 p.)
Note:10.1007/978-3-658-13234-7
Contents:Modeling and Parameter Estimation for Single-Cell Data -- ODE Constrained Mixture Modeling for Multivariate Data -- Approximate Bayesian Computation Using Multivariate Statistics
ISBN:9783658132347
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Bioinformatics , Computational biology , Computer mathematics , Biomathematics , Mathematics , Mathematical and Computational Biology , Computational Mathematics and Numerical Analysis , Computer Appl. in Life Sciences
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Call number:SPRINGER-2016-9783319412139:ONLINE Show nearby items on shelf
Title:The Statistical Physics of Fixation and Equilibration in Individual-Based Models
Author(s): Peter Ashcroft
Date:2016
Size:1 online resource (13 p.)
Note:10.1007/978-3-319-41213-9
Contents:Introduction -- Technical Background -- Finite Populations in Switching Environments -- Fixation Time Distribution -- Metastable States in Cancer Initiation -- The WKB Method: A User-guide -- Conclusions
ISBN:9783319412139
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Cancer research , Bioinformatics , Game theory , Probabilities , Biomathematics , Sociophysics , Econophysics , Physics , Socio- and Econophysics, Population and Evolutionary Models , Mathematical and Computational Biology , Bioinformatics , Probability Theory and Stochastic Processes , Game Theory, Economics, Social and Behav. Sciences , Cancer Research
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Call number:SPRINGER-2016-9783319410425:ONLINE Show nearby items on shelf
Title:Topological Interactions in Ring Polymers
Author(s): Davide Michieletto
Date:2016
Size:1 online resource (5 p.)
Note:10.1007/978-3-319-41042-5
Contents:Introduction -- Predicting the Behaviour of Rings in Solution -- Molecular Dynamics Models -- Threading Rings -- A Biophysical Model for the Kinetoplast DNA -- The Role of Topology in DNA Gel Electrophoresis -- Conclusions.
ISBN:9783319410425
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Polymers , Biomathematics , Amorphous substances , Complex fluids , Biophysics , Biological physics , Statistical physics , Dynamical systems , Physics , Soft and Granular Matter, Complex Fluids and Microfluidics , Polymer Sciences , Biophysics and Biological Physics , Mathematical and Computational Biology , Statistical Physics, Dynamical Systems and Complexity
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Call number:SPRINGER-2016-9783319320434:ONLINE Show nearby items on shelf
Title:The Mathematics Behind Biological Invasions
Author(s): Mark A Lewis
Date:2016
Size:1 online resource (19 p.)
Note:10.1007/978-3-319-32043-4
Contents:Introduction.-Dynamics of Biological Invasions.-Reaction-Diffusion Models: Single Species -- Invasion in a Multispecies System -- Long-Distance Dispersal and Spread -- A User’s Guide to Integrodifference Models for Invasive Spread -- Stochasticit y and Invasion Dynamics -- Stochastic Spread -- Assessing Invasion Risk -- Responding to invasions: Detection, control, and adaptation -- Appendix.-References.-Index
ISBN:9783319320434
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Interdisciplinary Applied Mathematics: 44
Keywords: Mathematics , Dynamics , Ergodic theory , Partial differential equations , Biomathematics , Statistics , Mathematics , Mathematical and Computational Biology , Statistics for Life Sciences, Medicine, Health Sciences , Genetics and Population Dynamics , Dynamical Systems and Ergodic Theory , Partial Differential Equations
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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-2016-9783319296470:ONLINE Show nearby items on shelf
Title:Models of Calcium Signalling
Author(s): Geneviève Dupont
Date:2016
Size:1 online resource (38 p.)
Note:10.1007/978-3-319-29647-0
Contents:Some Background Physiology -- The Calcium Toolbox -- Basic Modeling Principles: Deterministic Models -- Hierarchical and Stochastic Modeling -- Nonlinear Dynamics of Calcium -- Nonexcitable Cells -- Muscle -- Neurons and Other Excitable Cells
ISBN:9783319296470
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Interdisciplinary Applied Mathematics: 43
Keywords: Mathematics , Neurosciences , Biomathematics , Systems biology , Biological systems , Mathematics , Mathematical and Computational Biology , Biological Networks, Systems Biology , Neurosciences
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Call number:SPRINGER-2016-9783319296388:ONLINE Show nearby items on shelf
Title:Introduction to Mathematical Biology Modeling, Analysis, and Simulations
Author(s): Ching Shan Chou
Date:2016
Size:1 online resource (38 p.)
Note:10.1007/978-3-319-29638-8
Contents:Introduction -- Bacterial Growth in Chemostat -- System of Two Linear Differential Equations -- System of Two Differential Equations -- Predator-Prey Models -- Two Competing Populations -- General Systems of Differential Equations -- The Chemostat Model Revisited -- Spread of Disease -- Enzyme Dynamics -- Bifurcation Theory -- Atherosclerosis: The Risk of High Cholesterol -- Cancer-Immune Interaction. Cancer Therapy -- Tuberculosis -- Solutions
ISBN:9783319296388
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Mathematical physics , Biomathematics , Systems biology , Biological systems , Mathematics , Mathematical and Computational Biology , Mathematical Applications in the Physical Sciences , Biological Networks, Systems Biology
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Call number:SPRINGER-2016-9783319288932:ONLINE Show nearby items on shelf
Title:Data-driven Modelling of Structured Populations A Practical Guide to the Integral Projection Model
Author(s): Stephen P Ellner
Date:2016
Size:1 online resource (29 p.)
Note:10.1007/978-3-319-28893-2
Contents:Introduction -- Simple Deterministic IPM -- Basic Analysis 1: Demographic Measures and Events in the Life Cycle -- Basic Analysis 2: Prospective Perturbation Analysis -- Density Dependence -- General Deterministic IPM -- Environmental Stochasticity -- Spatial Models -- Evolutionary Demography -- Future Directions and Advanced Topics
ISBN:9783319288932
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Bioinformatics , Computational biology , Biomathematics , Mathematics , Mathematical and Computational Biology , Computer Appl. in Life Sciences
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Call number:SPRINGER-2016-9783319285887:ONLINE Show nearby items on shelf
Title:Computational Diffusion MRI MICCAI Workshop, Munich, Germany, October 9th, 2015
Author(s):
Date:2016
Size:1 online resource (63 p.)
Note:10.1007/978-3-319-28588-7
Contents:An Efficient Finite Element Solution of the Generalised Bloch-Torrey Equation for Arbitrary Domains: L. Beltrachini et al -- Super-Resolution Reconstruction of Diffusion-Weighted Images using 4D Low-Rank and Total Variation: Feng Shi et al -- Holist ic Image Reconstruction for Diffusion MRI: V. Golkov et al -- Alzheimer’s Disease Classification with Novel Microstructural Metrics from Diffusion-Weighted MRI: T. M. Nir et al -- Brain Tissue Micro-Structure Imaging from Diffusion MRI Using Least Squar es Variable Separation: H. Farooq et al -- Multi-Tensor MAPMRI: How to Estimate Microstructural Information from Crossing Fibers: M. Zucchelli et al -- On the Use of Antipodal Optimal Dimensionality Sampling Scheme on the Sphere for Recovering Intra-Voxel Fibre Structure in Diffusion MRI: A.P. Bates et al -- Estimation of Fiber Orientations Using Neighborhood Information: C. Ye et al -- A framework for creating population specific multimodal brain atlas using clinical T1 and diffusion tensor
images: V. Gupta et al -- Alignment of Tractograms as Linear Assignment Problem: N. Sharmin -- Accelerating Global Tractography Using Parallel Markov Chain Monte Carlo: H. Wu et al -- Adaptive Enhancement in Diffusion MRI Through Propagator Sharpeni ng: T. Dela Haije et al -- Angular Resolution Enhancement of Diffusion MRI Data Using Inter-Image Information Transfer: Geng Chen et al -- Crossing versus Fanning: Model Comparison Using HCP Data: A. Ghosh et al -- White Matter Fiber Set Simplification by Redundancy Reduction with Minimum Anatomical Information Loss: G. Zimmerman Moreno et al -- A Temperature Phantom to Probe the Ensemble Average Propagator Asymmetry: an In-Silico Study: M. Pizzolato et al -- Registration Strategies for Whole-Body Diffusi on-Weighted MRI Stitching: J. Ceranka et al -- HARDI Feature Selection, Registration and Atlas Building for A$\beta$ Pathology Classification: E. Schwab et al -- Reliability of Structural Connectivity Examined with Four Different Diffusion
Reconstruction Methods at Two Different Spatial and Angular Resolutions: J. E. Villalon-Reina et al
ISBN:9783319285887
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Computer simulation , Image processing , Bioinformatics , Computer mathematics , Visualization , Statistics , Mathematics , Visualization , Computational Biology/Bioinformatics , Computational Science and Engineering , Simulation and Modeling , Image Processing and Computer Vision , Statistics for Life Sciences, Medicine, Health Sciences
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Call number:SPRINGER-2016-9783319270814:ONLINE Show nearby items on shelf
Title:Scientific Models Red Atoms, White Lies and Black Boxes in a Yellow Book
Author(s): Philip Gerlee
Date:2016
Size:1 online resource (8 p.)
Note:10.1007/978-3-319-27081-4
Contents:Prologue -- History.- Structure, Relation and Use -- Interviews.- Worked Examples -- Epilogue -- Further Reading
ISBN:9783319270814
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Mathematics , Mathematical models , Biomathematics , Mathematics , Mathematical Modeling and Industrial Mathematics , Mathematical and Computational Biology , Philosophy of Mathematics
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Call number:SPRINGER-2016-9783319244488:ONLINE Show nearby items on shelf
Title:Physical Models of Cell Motility
Author(s):
Date:2016
Edition:1st ed. 2016
Size:1 online resource (9 p.)
Note:10.1007/978-3-319-24448-8
Contents:Introduction -- Phase-field Description of Cell Movement -- Role of Substrate Adhesiveness -- Cytoskeletal Waves -- Chemical Signaling -- Efficiency of Cell Motion
ISBN:9783319244488
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Bioinformatics , Computational biology , Biomathematics , Biophysics , Biological physics , Biomedical engineering , Physics , Biophysics and Biological Physics , Biomedical Engineering , Computer Appl. in Life Sciences , Numerical and Computational Physics , Physiological, Cellular and Medical Topics
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Call number:SPRINGER-2014-9783642549595:ONLINE Show nearby items on shelf
Title:A Primer on Scientific Programming with Python [electronic resource]
Author(s): Hans Petter Langtangen
Date:2014
Edition:4th ed. 2014
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics,numerical calculus, st atistics, physics, biology and finance. The book teaches Matlab-style and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageousto study classical and numerical one-variable c alculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of scienceand engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science. From the reviews: Langtangen does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objectsand functions and embracing the object-oriented paradigm. Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010 Those of us who have learned scientific programming in Python on the streets could be alittle jealous of students who have the opportunity to take a course out of Langtangens Primer. John D. Cook, The Mathematical Association of Am erica, September 2011 This book goes through Python in particular, and programmingin general, via tasks that scientists will likely perform. It contains valuable informationfor students new to scientific computing and would be the perfect bridge between a n introduction to programming and an advanced course onnumerical methods or computational science. Alex Small, IEEE, CiSE Vol. 14 (2), March/April 2012
Contents:Preface
Computing with Formulas
Loops and Lists
Functions and Branching
User Input and Error Handling
Array Computing and Curve Plotting
Dictionaries and Strings
Introduction to Classes
Random Numbers and Simple Games
Object
Oriented Programming
Sequences and Difference Equations
Introduction to Discrete Calculus
Introduction to Differential Equations
A Complete Differential Equation Project
Programming of Differential Equations
Debugging
Migrating Python to Compiled Code
Technical Topics
Bibliography
Index
ISBN:9783642549595
Series:eBooks
Series:SpringerLink
Series:Texts in Computational Science and Engineering, 1611-0994 : v6
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Software engineering , Computer science
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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-2014-9783642405235:ONLINE Show nearby items on shelf
Title:An Introduction to Markov Processes [electronic resource]
Author(s): Daniel W Stroock
Date:2014
Edition:2nd ed. 2014
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:This book provides a rigorous but elementary introduction to the theory of Markov Processes on a countable state space. It should be accessible to students with a solid undergraduate background in mathematics, including studentsfrom engineering, econ omics, physics, and biology. Topics covered are: Doeblin's theory, general ergodic properties, and continuous time processes.Applications are dispersed throughout the book. In addition, a whole chapter isdevoted to reversible processes and the use of thei r associated Dirichlet forms to estimate the rate of convergence to equilibrium. These results are then applied to the analysis of the Metropolis (a.k.a simulated annealing) algorithm.The corrected and enlarged 2nd edition contains a new chapter in which the author develops computational methods for Markov chains on a finite state space. Most intriguing isthe section with a new technique for computing stationarymeasures, which is applied to derivations of Wilson's algorithm and Kirchoff's formula for span ning trees in a connected graph
Contents:Preface
Random Walks, a Good Place to Begin
Doeblin's Theory for Markov Chains
Stationary Probabilities
More about the Ergodic Theory of Markov Chains
Markov Processes in Continuous Time
Reversible Markov Processes
A minimal Introduction to Measure Theory
Notation
References
Index
ISBN:9783642405235
Series:eBooks
Series:SpringerLink
Series:Graduate Texts in Mathematics, 0072-5285 : v230
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Differentiable dynamical systems , Distribution (Probability theory)
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Call number:SPRINGER-2014-9783319069234:ONLINE Show nearby items on shelf
Title:Advances in Applied Mathematics [electronic resource]
Author(s): Ali R Ansari
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:This volume contains contributions from the Gulf International Conference in Applied Mathematics, held at the Gulf University for Science & Technology. The proceedings reflects the three major themes of the conference. The firstof these was mathemati cal biology, including a keynote address by Professor Philip Maini. The second theme was computational science/numerical analysis, including a keynote address by Professor Grigorii Shishkin. The conference alsoaddressed more general applications topics, w ith papers in business applications, fluid mechanics, optimization, scheduling problems, and engineering applications, as well as a keynote by Professor Ali Nayfeh
Contents:Modelling invasive processes in biology
Modelling oxygen capillary supply to striated muscle tissues
Modeling human response to bednet promotion campaigns and its impact on malaria transmission
Computational Modelling and Optimal Control of HIV/AIDS Transmission in a Community with Substance Abuse Problem
Standard dierence scheme for a singularly perturbed convection
diusion equation in the presence of perturbations
A Higher Order Immersed Discontinuous Galerkin Finite Element Method for the Acoustic Interface Problem
A parameter uniform numerical method for a bounda
ISBN:9783319069234
Series:eBooks
Series:SpringerLink
Series:Springer Proceedings in Mathematics & Statistics, 2194-1009 : v87
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science Mathematics , Numerical analysis
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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-2014-9781461495215:ONLINE Show nearby items on shelf
Title:Computational Methods for Three-Dimensional Microscopy Reconstruction [electronic resource]
Author(s): Gabor T Herman
Joachim Frank
Date:2014
Publisher:New York, NY : Springer New York : Imprint: Birkhuser
Size:1 online resource
Note:Approaches to the recovery of three-dimensional information on a biological object, which are often formulated or implemented initially in an intuitive way, are concisely described here based on physical models of the object andthe image-formation pr ocess. Both three-dimensional electron microscopy and X-ray tomography can be captured in the same mathematical framework, leading to closely-related computational approaches, but the methodologies differ indetail and hence pose different challenges. The editors of this volume, Gabor T. Herman and Joachim Frank, are experts in the respective methodologies and present research at the forefront of biological imaging and structural biology. Computational Methods for Three-Dimensional Microscopy Reconstructio n will serve as a useful resource for scholars interested in the development of computational methods for structural biology and cell biology, particularly in thearea of 3D imaging and modeling
Contents:1 Introduction
2 Interchanging geometry conventions in 3DEM: Mathematical context for the development of standards
3 Fully automated particle selection and verification in single
particle cryo
EM
4 Quantitative analysis in iterative classification schemes for cryo
EM applications
5 High
resolution cryo
EM structure of the Trypanosoma brucei ribosome of a case study
6 Computational methods for electron tomography of influenza virus
7 Reconstruction from microscopic projections with defocus
gradient and attenuation effects
8 Soft X
ray tomography imaging for biological sampl
ISBN:9781461495215
Series:eBooks
Series:SpringerLink
Series:Applied and Numerical Harmonic Analysis, 2296-5009
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Bioinformatics , Physiology Mathematics , Visualization , Cell aggregation Mathematics
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Call number:SPRINGER-2013-9783642381898:ONLINE Show nearby items on shelf
Title:Facets of Combinatorial Optimization [electronic resource] : Festschrift for Martin Grtschel
Author(s): Michael Jnger
Gerhard Reinelt
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:Martin Grtschel is one of the most influential mathematicians of our time. He has received numerous honors and holds a number of key positions in the international mathematical community. He celebrated his 65th birthday onSeptember 10, 2013. Martin G rtschels doctoral descendant tree 19832012, i.e., the first 30 years, features 39 children, 74 grandchildren, 24 great-grandchildren, and 2 great-great-grandchildren, a total of 139 doctoraldescendants. This book starts with a personal tribute to Martin G rtschel by the editors (Part I), a contribution by his very special predecessor Manfred Padberg on Facets and Rank of Integer Polyhedra (Part II), and thedoctoral descendant tree 19832012 (Part III). The core of this book (Part IV) contains 16 contributio ns, each of which is coauthored by at least one doctoral descendant. The sequence of the articles starts with contributions tothe theory of mathematical optimization, including polyhedral combinatorics, extended formulations, mixed-integer convex optimiza tion, superclasses of perfect graphs, efficient algorithms for subtree-telecenters, junctions in acyclicgraphs, and preemptive restricted strip covering, as well as efficient approximation of non-preemptive restricted strip covering. Combinations of new t heoretical insights with algorithms and experiments deal with network designproblems, combinatorial optimization problems with submodular objective functions, and more general mixed-integer nonlinear optimization problems. Applications include VLSI layout design, systems biology, wireless network design,mean-risk optimization, and gas network optimization. Computational studies include a semidefinite branch and cut approach for the max k-cut problem, mixed-integer nonlinear optimal control, and mixed-inte ger linear optimization forscheduling and routing of fly-in safari planes. The two closing articles are devoted to computational advances in general mixed-integer li
Note:Springer eBooks
Contents:Martin Grtschel
a tribute: M.Jnger and G.Reinelt
Facets and rank of integer polyhedra:M.Padberg
Constructing extended formulations from reflection relations:V.Kaibel and K.Pashkovich
Exact algorithms for combinatorial optimization problems with submodular objective functions: F.Baumann, S.Berckey, and C.Buchheim
Solving k
way graph partitioning problems to optimality: The impact of semidefinite relaxations and the bundle method: M.F. Anjos, B.Ghaddar, L.Hupp, F.Liers and A.Wiegele
Mirror
descent methods in mixed
integer convex optimization: M.Baes, T.Oertel, Ch.Wagner
ISBN:9783642381898
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computational complexity , Algorithms , Mathematical optimization
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Call number:SPRINGER-2013-9783642309588:ONLINE Show nearby items on shelf
Title:Encyclopedia of Distances [electronic resource]
Author(s): Michel Marie Deza
Elena Deza
Date:2013
Edition:2nd ed. 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:This updated and revised second edition of the leading reference volume on distance metrics includes a wealth of new material that reflects advances in a field now regarded as an essential tool in many areas of pure and appliedmathematics. The publi cation of this volume coincides with intensifying research efforts into metric spaces and especially distance design for applications. Accurate metrics have become a crucial goal in computational biology, imageanalysis, speech recognition and information retrieval. Leaving aside the practical questions that arise during the selection of a good distance function, this work focuses on providing the research community with aninvaluable comprehensive listing of the main available distances. As well as provi ding standalone introductions and definitions, the encyclopedia facilitates swift cross-referencing with easily navigable bold-faced textual links tocore entries. In addition to distances themselves, the authors have collated numerous fascinating curiosit ies in their Whos Who of metrics, including distance-related notions and paradigms that enable applied mathematicians in othersectors to deploy research tools that non-specialists justly view as arcane. In expanding access to these techniques, and in many cases enriching the context of distances themselves, this peerless volume is certain to stimulate freshresearch
Note:Springer eBooks
Contents:Part I. Mathematics of Distances
1 General Definitions
2 Topological Spaces
3 Generalization of Metric Spaces
4 Metric Transforms
5 Metrics on Normed Structures
Part II. Geometry and Distances
6 Distances in Geometry
7 Riemannian and Hermitian Metrics
8 Distances on Surfaces and Knots
9 Distances on Convex Bodies, Cones and Simplicial Complexes
Part III. Distances in Classical Mathematics
10 Distances in Algebra
11 Distances on Strings and Permutations
12 Distances on Numbers, Polynominals and Matrices
13 Distances in Functional Analysis
14 Dista
ISBN:9783642309588
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science Mathematics , Visualization , Geometry , Global differential geometry , Topology , Engineering mathematics
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Call number:SPRINGER-2013-9783642275555:ONLINE Show nearby items on shelf
Title:Differential-Algebraic Equations: A Projector Based Analysis [electronic resource]
Author(s): Ren Lamour
Roswitha Mrz
Caren Tischendorf
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:Differential algebraic equations (DAEs), including so-called descriptor systems, began to attract significant research interest in applied and numerical mathematics in the early 1980s, no more than about three decades ago. In thisrelatively short tim e, DAEs have become a widely acknowledged tool to model processes subjected to certain constraints in order to simulate and to control processes in various application fields such as network simulation, chemicalkinematics, mechanical engineering and syste ms biology. DAEs and their more abstract versions in infinite dimensional spaces comprise a great potential forthe future mathematical modeling of complex coupled processes. The purpose ofthe book is to expose the impressive complexity of general DAEs fro m an analytical point of view, to describe the state of the art as well as open problems andin sodoing to motivate further researchof this versatile,extraordinary topic from a broader mathematical perspective. The book elaborates on a new general, structu ral analysis capturing linear and nonlinear DAEs in a hierarchical way. The DAE structure is exposed by means of specialprojector functions. Some issues on numerical integration and computational aspects are also treated in this context
Note:Springer eBooks
Contents:Notations
Introduction
Part I. Projector based approach
1 Linear constant coefficient DAEs
.2 Linear DAEs with variable coefficients
3 Nonlinear DAEs
Part II. Index
1 DAEs: Analysis and numerical treatment
4 Analysis
5 Numerical integration
6 Stability issues
Part III. Computational aspects
7 Computational linear algebra aspects
8 Aspects of the numerical treatment of higher index DAEs
Part IV. Advanced topics
9 Quasi
regular DAEs
10 Nonregular DAEs
11 Minimization with constraints described by DAEs
12 Abstract differential algebraic equations
ISBN:9783642275555
Series:e-books
Series:SpringerLink (Online service)
Series:Differential-Algebraic Equations Forum
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Differential Equations , Computer science Mathematics
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Call number:SPRINGER-2013-9781461490531:ONLINE Show nearby items on shelf
Title:Optimization Approaches for Solving String Selection Problems [electronic resource]
Author(s): Elisa Pappalardo
Panos M Pardalos
Giovanni Stracquadanio
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:Optimization Approaches for Solving String Selection Problemsprovides an overview of optimization methods for a wide class of genomics-related problems in relation to the string selection problems. This class of problemsaddresses the recognition of s imilar characteristics or differences within biological sequences. Specifically, this book considers a large class of problems, ranging from the closest string and substring problems, to the fartheststring and substring problems, to the far from most stri ng problem.Each problem includes a detailed description, highlighting both biological and mathematical features and presents state-of-the-art approaches. This Briefprovidesaquick introduction of optimization methods for string selection problems for young scientists and a detailed description of the mathematical and computational methods developed for experts in the field of optimization who want todeepen their understanding of the string selection problems.Researchers, practitionersand graduate students in the field of Computer Science, Operation Research, Mathematics, Computational Biology and Biomedicine will find thisbook useful.
Note:Springer eBooks
Contents:1. Biological Sequences
2. Strings: Theory, Properties and Applications
3. Mathematical Optimization
4. String Selection Problems
ISBN:9781461490531
Series:e-books
Series:SpringerLink (Online service)
Series:SpringerBriefs in Optimization, 2190-8354
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computational complexity , Computer science , Computer science Mathematics
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Call number:SPRINGER-2013-9781461476870:ONLINE Show nearby items on shelf
Title:Brownian Dynamics at Boundaries and Interfaces [electronic resource] : In Physics, Chemistry, and Biology
Author(s): Zeev Schuss
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
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Note:Brownian dynamics serve as mathematical models for the diffusive motion of microscopic particles of various shapes in gaseous, liquid, or solid environments. The renewed interest in Brownian dynamics is due primarily to their keyrole in molecular and cellular biophysics: diffusion of ions and molecules is the driver of all life. Brownian dynamics simulations are the numerical realizations of stochastic differential equations that model the functions ofbiological micro devices such as protein ionic ch annels of biological membranes, cardiac myocytes, neuronal synapses, and many more. Stochastic differential equations are ubiquitous models in computational physics, chemistry,biophysics, computer science, communications theory, mathematical finance theor y, and many other disciplines. Brownian dynamics simulations of the random motion of particles, be it molecules or stock prices, give rise to mathematicalproblems that neither the kinetic theory of Maxwell and Boltzmann, nor Einsteins and Langevins theori es of Brownian motion could predict. This book takes the readers on a journey that starts with the rigorous definition ofmathematical Brownian motion, and ends with the explicit solution of a series of complex problems that have immediate applications. It is aimed at applied mathematicians, physicists, theoretical chemists, and physiologists who areinterested in modeling, analysis, and simulation of micro devices of microbiology. The book contains exercises and worked out examples throughout
Note:Springer eBooks
Contents:The Mathematical Brownian Motion
Euler Simulation of Ito SDEs
Simulation of the Overdamped Langevin Equation
The First Passage Time of a Diffusion Process
Chemical Reaction in Microdomains
The Stochastic Separatrix
Narrow Escape in R2
Narrow Escape in R3
ISBN:9781461476870
Series:e-books
Series:SpringerLink (Online service)
Series:Applied Mathematical Sciences, 0066-5452 : v186
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Differential equations, partial , Distribution (Probability theory) , Mathematical physics
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Call number:SPRINGER-2013-9781461458388:ONLINE Show nearby items on shelf
Title:Optimization [electronic resource]
Author(s): Kenneth Lange
Date:2013
Edition:2nd ed. 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:Finite-dimensional optimization problems occur throughout the mathematical sciences. The majority of these problems cannot be solved analytically. This introduction to optimization attempts to strike a balance betweenpresentation of mathematical theo ry and development of numerical algorithms. Building on students skills in calculus and linear algebra, the text provides a rigorous exposition without undue abstraction. Its stress on statisticalapplications will be especially appealing to graduate stude nts of statistics and biostatistics. The intended audience also includes students in applied mathematics, computational biology, computer science, economics, and physics whowant to see rigorous mathematics combined with real applications. In this second edition, the emphasis remains on finite-dimensional optimization. New material has been added on the MM algorithm, block descent and ascent, and thecalculus of variations. Convex calculus is now treated in much greater depth. Advanced topics such as the F enchel conjugate, subdifferentials, duality, feasibility, alternating projections, projected gradient methods, exact penaltymethods, and Bregman iteration will equip students with the essentials for understanding modern data mining techniques in high dime nsions
Note:Springer eBooks
Contents:Elementary Optimization
The Seven Cs of Analysis
The Gauge Integral
Differentiation
Karush
Kuhn
Tucker Theory
Convexity
Block Relaxation
The MM Algorithm
The EM Algorithm
Newtons Method and Scoring
Conjugate Gradient and Quasi
Newton
Analysis of Convergence
Penalty and Barrier Methods
Convex Calculus
Feasibility and Duality
Convex Minimization Algorithms
The Calculus of Variations
Appendix: Mathematical Notes
References
Index
ISBN:9781461458388
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Texts in Statistics, 1431-875X : v95
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical optimization , Mathematical statistics , Operations research
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Call number:SPRINGER-2013-9781441979971:ONLINE Show nearby items on shelf
Title:Handbook of Combinatorial Optimization [electronic resource]
Author(s): Panos M Pardalos
Ding-Zhu Du
Ronald L Graham
Date:2013
Edition:2nd ed. 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:The second edition of this 5-volume handbook is intended to be a basic yet comprehensive reference work in combinatorial optimization that will benefit newcomers and researchers for years to come. This multi-volumework dealswith several algorithmic a pproaches for discrete problems as well as with many combinatorial problems. The editors have brought together almost every aspect of this enormous field of combinatorial optimization, an area of research atthe intersection of applied mathematics, compute r science, and operations research and which overlaps with many other areas such as computation complexity, computational biology, VLSI design, communications networks, and managementscience. Aninternational team of 30-40 experts in the field form the edi torial board. The Handbook of Combinatorial Optimization, second edition is addressed to all scientists who use combinatorial optimization methods to model andsolve problems. Experts in the field as well as non-specialists will find the material stimulati ng and useful
Note:Springer eBooks
Contents:Introduction
Part 1. General Methodology
Analysis of Greedy Approximations
Guillotine Partition in Geometric Optimization
Mixed
Integer Nonlinear Optimization in Process Synthesis
Connection between Nonlinear Programming and Discrete Optimization
Interior Point Methods for Combinatorial Optimization
Fractional Combinatorial Optimization
Reformulation
Linearization Techniques for Discrete Optimization Problems
Grobner Bases in Integer Programming
Dynamical System Approaches to Combinatorial Optimization
Semidefinite Relaxation, Multivariate Norma Distribution an
ISBN:9781441979971
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Combinatorics , Mathematical optimization
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Call number:SPRINGER-2012-9789491216473:ONLINE Show nearby items on shelf
Title:Stochastic Differential Games. Theory and Applications [electronic resource]
Author(s): Kandethody M Ramachandran
Chris P Tsokos
Date:2012
Publisher:Paris : Atlantis Press
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Conflicts in the form of wars, or competition among countries and industrial institutions are plenty in human history. The introduction of game theory in the middle of the twentieth century shed insights and enabled researchers toanalyze this subject with mathematical rigor. From the ground-breaking work of VonNeumann and Morgenston, modern game theory evolved enormously. In the last few decades, Dynamic game theory framework has been deepened and generalizedfrom the pioneering work on differential g ames by R. Isaacs, L.S. Pontryagin and his school, and on stochastic games by Shapley. This book will expose the reader to some of the fundamental methodology in non-cooperative game theory,and highlight some numerical methods, along with some relevant ap plications. Since the early development days, differential game theory has had a significant impact in such diverse disciplines as applied mathematics, economics, systemstheory, engineering, operations, research, biology, ecology, environmental sciences, among others. Modern game theory now relies on wide ranging mathematical and computational methods, and relevant applications that are rich andchallenging. Game theory has been widely recognized as an important tool in many fields. Importance of game theo ry to economics is illustrated by the fact that numerous game theorists, such as John Forbes Nash, Jr., Robert J. Aumannand Thomas C. Schelling, have won the Nobel Memorial Prize in Economics Sciences. Simply put, game-theory has the potential to reshape the analysis of human interaction
Note:Springer eBooks
Contents:Introduction, Survey and Background Material
Stochastic Linear Pursuit
Evasion Game
Two Person Zero
Sum Differential Games
General Case
Formal Solutions for Some Classes of Stochastic Linear Pursuit
N
Person Noncooperative Differential Games
Weak Convergence in Two Player Stochastic Differential Games
Weak Convergence in Many Player Games
Some Numerical Methods
Applications to Finance
ISBN:9789491216473
Series:e-books
Series:SpringerLink (Online service)
Series:Atlantis Studies in Probability and Statistics, 1879-6893 : v2
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Distribution (Probability theory) , Economics, Mathematical
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Call number:SPRINGER-2012-9783642339028:ONLINE Show nearby items on shelf
Title:Morphogenetic Engineering [electronic resource] : Toward Programmable Complex Systems
Author(s): Ren Doursat
Hiroki Sayama
Olivier Michel
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:Generally, spontaneous pattern formation phenomena are random and repetitive, whereas elaborate devices are the deterministic product of human design. Yet, biological organisms and collective insect constructions are exceptionalexamples of complex sy stems that are both self-organized and architectural. This book is the first initiative of its kind toward establishing a new field of research, Morphogenetic Engineering, to explore the modeling andimplementation of self-architecturing systems. Particul ar emphasis is placed on the programmability and computational abilities of self-organization, properties that are often underappreciated in complex systems sciencewhile,conversely, the benefits of self-organization are often underappreciated in engineeri ng methodologies. Altogether, the aim of this work is to provide a framework for and examples of a larger class of self-architecturingsystems, while addressing fundamental questions such as > How do biological organisms carry out morphogenetic tasks so reliably? > Can we extrapolate their self-formation capabilities to engineered systems? > Can physical systems beendowed with information (or informational systems be embedded in physics) so as to create autonomous morphologies and functions? > What are t he core principles and best practices for the design and engineering of such morphogeneticsystems? The intended audience consists of researchers and graduate students who are working on, starting to work on, or interested in programmable self-organizing s ystems in a wide range of scientific fields, including computerscience, robotics, bioengineering, control engineering, physics, theoretical biology, mathematics, and many others
Note:Springer eBooks
Contents:Morphogenetic Engineering: Reconciling Self
Organization and Architecture
SWARMORPH: Morphogenesis with Self
Assembling Robots
Morphogenetic Robotics: A New Paradigm for Designing Self
Organizing, Self
Reconfigurable and Self
Adaptive Robots
Distributed Autonomous Morphogenesis in a Self
Assembling Robotic System
Collective Construction with Robot Swarms
Issues in Self
Repairing Robotic Self
Assembly
Programming Self
Assembling Systems via Physically Encoded Information
Swarm
Based Morphogenetic Artificial Life
Chemotaxis
Inspired Cellular Primitives for Self
Organizing
ISBN:9783642339028
Series:e-books
Series:SpringerLink (Online service)
Series:Understanding Complex Systems, 1860-0832
Series:Physics and Astronomy (Springer-11651)
Keywords: Engineering , Artificial intelligence , Biological models
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Call number:SPRINGER-2012-9783642339011:ONLINE Show nearby items on shelf
Title:Morphogenetic Engineering [electronic resource]
Author(s): RenDoursat
Hiroki Sayama
Olivier Michel
Date:2012
Publisher:Springer Berlin Heidelberg
Size:1 online resource
Note:Monograph
Note:Springer 2012 Physics and Astronomy eBook collection
Note:Springer e-book platform
ISBN:9783642339011
Series:Understanding Complex Systems
Series:e-books
Keywords: Computational Intelligence , Artificial Intelligence (incl. Robotics) , Statistical Physics, Dynamical Systems and Complexity , Systems Biology , Biophysics and Biological Physics
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Call number:SPRINGER-2012-9783642302930:ONLINE Show nearby items on shelf
Title:A Primer on Scientific Programming with Python [electronic resource]
Author(s): Hans Petter Langtangen
Date:2012
Edition:3rd ed. 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:The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example- and problem-oriented, where the applications are taken from mathematics,numerical calculus, s tatistics, physics, biology, and finance. The book teaches Matlab-style and procedural programming as well as object-oriented programming. High school mathematics is a required background, and it isadvantageous to study classical and numerical one-variabl e calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in variousbranches of science and engineering, with the aid of numerical methods and programmi ng. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science.
Note:Springer eBooks
Contents:Preface
Computing with Formulas
Loops and Lists
Functions and Branching
Input Data and Error Handling
Array Computing and Curve Plotting
Files, Strings and Dictionaries
Introduction to Classes
Random Numbers and Simple Games
Object
Oriented Programming
Sequences and Difference Equations
Introduction to Discrete Calculus
Introduction to Differential Equations
A Complete Differential Equation Project
Programming of Differential Equations
Debugging
Migrating Python to Compiled Code
Technical Topics
Bibliography
Index
ISBN:9783642302930
Series:e-books
Series:SpringerLink (Online service)
Series:Texts in Computational Science and Engineering, 1611-0994 : v6
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Software engineering , Computer science
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Call number:SPRINGER-2012-9783642172830:ONLINE Show nearby items on shelf
Title:CGAL Arrangements and Their Applications [electronic resource] : A Step-by-Step Guide
Author(s): Efi Fogel
Dan Halperin
Ron Wein
Date:2012
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Arrangements of curves constitute fundamental structures that have been intensively studied in computational geometry. Arrangements have numerous applications in a wide range of areas examples include geographic informationsystems, robot motion plan ning, statistics, computer-assisted surgery and molecular biology. Implementing robust algorithms for arrangements is a notoriously difficult task, and the CGAL arrangements package is the first robust,comprehensive, generic and efficient implementation o f data structures and algorithms for arrangements of curves. This book is about how to use CGAL two-dimensional arrangements to solve problems. The authors first demonstrate thefeatures of the arrangement package and related packages using small example programs. They then describe applications, i.e., complete standalone programs written on top of CGAL arrangements used to solve meaningful problems forexample, finding the minimum-area triangle defined by a set of points, planning the motion of a polygon translating among polygons in the plane, computing the offset polygon, finding the largest common point sets under approximatecongruence, constructing the farthest-point Voronoi diagram, coordinating the motion of two discs moving among obstacles in the plane, and performing Boolean operations on curved polygons. The book contains comprehensiveexplanations of the solution programs, many illustrations, and detailed notes on further reading, and it is supported by a website that contains downloadable soft ware and exercises. It will be suitable for graduate students andresearchers involved in applied research in computational geometry, and for professionals who require worked-out solutions to real-life geometric problems. It is assumed that the reader is f amiliar with the C++ programming-language andwith the basics of the generic-programming paradigm
Note:Springer eBooks
Contents:Introduction
Basic Arrangements
Queries and Free Functions
Arrangements of Unbounded Curves
Arrangement
Traits Classes
Extending the Arrangement
Adapting to Boost Graphs
Operations on (Curved) Polygons
Minkowski Sums and Offset Polygons
Envelopes
Prospects
Bibliography
Index
ISBN:9783642172830
Series:e-books
Series:SpringerLink (Online service)
Series:Geometry and Computing, 1866-6795 : v7
Series:Mathematics and Statistics (Springer-11649)
Keywords: Computer science , Computer vision , Geometry , Engineering mathematics
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Call number:SPRINGER-2012-9781461421450:ONLINE Show nearby items on shelf
Title:Computational Modeling of Biological Systems [electronic resource]
Author(s): Nikolay V Dokholyan
Date:2012
Publisher:Springer US
Size:1 online resource
Note:Monograph
Note:Springer 2012 Physics and Astronomy eBook collection
Note:Springer e-book platform
ISBN:9781461421450
Series:Biological and Medical Physics, Biomedical Engineering
Series:e-books
Keywords: Biophysics and Biological Physics , Molecular Medicine , Mathematical and Computational Biology , Computational Biology/Bioinformatics
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Call number:SPRINGER-2012-9781461419907:ONLINE Show nearby items on shelf
Title:Signaling at the Cell Surface in the Circulatory and Ventilatory Systems [electronic resource]
Author(s): Marc Thiriet
Date:2012
Publisher:Springer New York
Size:1 online resource
Note:Monograph
Note:Springer 2012 Physics and Astronomy eBook collection
Note:Springer e-book platform
ISBN:9781461419907
Series:Biomathematical and Biomechanical Modeling of the Circulatory and Ventilatory Systems
Series:e-books
Keywords: Biophysics and Biological Physics , Biomedical Engineering , Mathematical and Computational Biology , Systems Biology , Engineering Fluid Dynamics , Cardiology
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Call number:SPRINGER-2012-9781461419662:ONLINE Show nearby items on shelf
Title:Probability Approximations and Beyond [electronic resource]
Author(s): Andrew Barbour
Hock Peng Chan
David Siegmund
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:In June 2010, a conference, Probability Approximations and Beyond, was held at the National University of Singapore (NUS), in honor of pioneering mathematician Louis Chen. Louis is perhaps best known for his elegant Poissonapproximation method, devel oped from Steins original approach to normal approximation. Another of his important contributions has been to turn Steins concentration inequality idea into an effective tool for providing error boundsfor the normal approximation in many settings, and in particular for sums of random variables exhibiting only local dependence. The conference attracted a large audience that came to pay homage to Louis, and to hear presentations bycolleagues who have worked with him in special ways over the past 40 years. The papers in this volume attest to how Louis Chens ideas have influenced and continue to influence such diverse areas as molecular biology and computerscience. He himself has developed applications of his work on Poisson approximation to problems of sign al detection in computational biology. The original papers contained in this book provide historical context for Louiss work,alongside commentary on some of his major contributions by noteworthy statisticians and mathematicians working today. The papers i n this volume attest to how Louis Chens ideas have influenced and continue to influence such diverseareas as molecular biology and computer science. He himself has developed applications of his work on Poisson approximation to problems of signal detection in computational biology. The original papers contained in this book providehistorical context for Louiss work, alongside commentary on some of his major contributions by noteworthy statisticians and mathematicians working today
Note:Springer eBooks
Contents:Couplings for Irregular Combinatorial Assemblies
Berry
Esseen Inequality for Unbounded Exchangeable Pairs
Clubbed Binomial Approximation for the Lightbulb Process
Coverage of Random Discs Driven by a Posson Point Process
On the Optimality of Stein Factors
Basic Estimates of Stability Rate for One
dimensional Diffusions
Trend Analysis of Extreme Values
Renormalizations in White Noise Analysis
M
dependence Approximation for Dependent Random Variables
Variable Selection for Classification and Regression in Large p, Small n Problems
ISBN:9781461419662
Series:e-books
Series:SpringerLink (Online service)
Series:Lecture Notes in Statistics, 0930-0325 : v205
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Distribution (Probability theory) , Mathematical statistics
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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-2012-9781461403289:ONLINE Show nearby items on shelf
Title:Control of Cell Fate in the Circulatory and Ventilatory Systems [electronic resource]
Author(s): Marc Thiriet
Date:2012
Publisher:Springer New York
Size:1 online resource
Note:Monograph
Note:Springer 2012 Physics and Astronomy eBook collection
Note:Springer e-book platform
ISBN:9781461403289
Series:Biomathematical and Biomechanical Modeling of the Circulatory and Ventilatory Systems
Series:e-books
Keywords: Biophysics and Biological Physics , Biomedical Engineering , Mathematical and Computational Biology , Systems Biology , Engineering Fluid Dynamics , Cardiology
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Call number:SPRINGER-2012-9781441997777:ONLINE Show nearby items on shelf
Title:Fundamentals of Shallow Water Acoustics [electronic resource]
Author(s): Boris Katsnelson
Valery Petnikov
James Lynch
Date:2012
Publisher:Boston, MA : Springer US
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Shallow water acoustics (SWA), the study of how low and medium frequency sound propagates and scatters on the continental shelves of the world's oceans, has both technical interest and a large number of practical applications.Technically, shallow wat er poses an interesting medium for the study of acoustic scattering, inverse theory, and propagation physics in a complicated oceanic waveguide. Practically, shallow water acoustics has interest for geophysicalexploration, marine mammal studies, and naval applications. Additionally, one notes the very interdisciplinary nature of shallow water acoustics, including acoustical physics, physical oceanography, marine geology, and marine biology.In this specialized volume, the authors, all of whom have extensiv e at-sea experience in U.S. and Russian research efforts, have tried to summarize the main experimental, theoretical, and computational results in shallow wateracoustics, with an emphasis on providing physical insight into the topics presented
Note:Springer eBooks
Contents:Preface
1. What is Shallow Water Acoustics?
2. Coastal Oceanography, Geology, and Biology
3. Foundations of the Theory of the Propagation of Sound
4. Examples Illustrating the Characteristics of Waveguide Propagation
5. Sound Field in Shallow Water with Random Inhomogeneities
6. Low Frequency Bottom Reverberation in Shallow Water
7. The Inverse Problem
8. Signal Processing
9. Noise Field in Shallow Water
10. Equipment for Shallow Water Acoustics and Experimental Considerations
11. The Future
Appendix A. Waves and Signals
Appendix B. Modal Decomposition o
ISBN:9781441997777
Series:e-books
Series:SpringerLink (Online service)
Series:The Underwater Acoustics Series
Series:Physics and Astronomy (Springer-11651)
Keywords: Oceanography , Acoustics , Marine Sciences
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Call number:SPRINGER-2011-9783642183669:ONLINE Show nearby items on shelf
Title:A Primer on Scientific Programming with Python [electronic resource]
Author(s): Hans Petter Langtangen
Date:2011
Edition:2nd Edition
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example- and problem-oriented, where the applications are taken from mathematics,numerical calculus, s tatistics, physics, biology, and finance. The book teaches Matlab-style and procedural programming as well as object-oriented programming. High school mathematics is a required background, and it isadvantageous to study classical and numerical one-variabl e calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in variousbranches of science and engineering, with the aid of numerical methods and programmi ng. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science
Note:Springer eBooks
Contents:Computing with Formulas
Loops and Lists
Functions and Branching
Input Data and Error Handling
Array Computing and Curve Plotting
Files, Strings and Dictionaries
Introduction to Classes
Random Numbers and Simple Games
Object
Oriented Programming
Sequences and Difference Equations
Introduction to Discrete Calculus
Introduction to Differential Equations
A Complete Differential Equation Project
Programming of Differential Equations
Debugging
TechnicalTopics
Bibliography
Index
ISBN:9783642183669
Series:e-books
Series:SpringerLink (Online service)
Series:Texts in Computational Science and Engineering, 1611-0994 : v6
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Software engineering , Computer science
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Call number:SPRINGER-2011-9783642150142:ONLINE Show nearby items on shelf
Title:Topological Methods in Data Analysis and Visualization [electronic resource] : Theory, Algorithms, and Applications
Author(s): Valerio Pascucci
Xavier Tricoche
Hans Hagen
Julien Tierny
Date:2011
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Topology-based methods are of increasing importance in the analysis and visualization of datasets from a wide variety of scientific domains such as biology, physics, engineering, and medicine. Current challenges of topology-basedtechniques include th e management of time-dependent data, the representation large and complex datasets, the characterization of noise and uncertainty, the effective integration of numerical methods with robust combinatorialalgorithms, etc. While there is an increasing number of high-quality publications in this field, many fundamental questions remain unsolved. New focused efforts are needed in a variety of techniques ranging from the theoreticalfoundations of topological models, algorithmic issues related to the representat ion power of computer-based implementations as well as their computational efficiency, user interfaces for presentation of quantitative topologicalinformation, and the development of new techniques for systematic mapping of science problems in topological constructs that can be solved computationally. The editors have brought together the most prominent and best recognizedresearchers in the field of topology-based data analysis and visualization for a joint discussion and scientific exchange of the latest results in the field. The 2009 TopoInVis workshop in Snowbird, Utah, follows the two successfulworkshops in 2005 (Budmerice, Slovakia) and 2007 (Leipzig, Germany)
Note:Springer eBooks
Contents:Foundations of Computational Topology
Hierarchical Topological Data
Structures
Topological Feature Extraction Algorithms
Applications in Scientific Data Analysis and Visualization
Topological Analysis of Large
Scale Scientific Data
Indices
ISBN:9783642150142
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Visualization, 1612-3786
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer graphics , Visualization , Geometry , Topology , Engineering , Mechanical engineering
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Call number:SPRINGER-2011-9781441976468:ONLINE Show nearby items on shelf
Title:An Introduction to Delay Differential Equations with Applications to the Life Sciences [electronic resource]
Author(s): Hal Smith
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:This book is intended to be an introduction to Delay Differential Equations for upper level undergraduates or beginning graduate mathematics students who have a good background in ordinary differential equations and would like tolearn about the appli cations. It may also be of interest to applied mathematicians, computational scientists, and engineers. It focuses on key tools necessary to understand the applications literature involving delay equations and toconstruct and analyze mathematical models. Aside from standard well-posedness results for the initial value problem, it focuses on stability of equilibria via linearization and Lyapunov functions and on Hopf bifurcation. It contains abrief introduction to abstract dynamical systems focused on thos e generated by delay equations, introducing limit sets and their properties. Differential inequalities play a significant role in applications and are treated here, alongwith an introduction to monotone systems generated by delay equations. The book conta ins some quite recent results such as the Poincare-Bendixson theory for monotone cyclic feedback systems, obtained by Mallet-Paret and Sell. Thelinear chain trick for a special family of infinite delay equations is treated. The book is distinguished by th e wealth of examples that are introduced and treated in detail. These include the delayed logistic equation, delayedchemostat model of microbial growth, inverted pendulum with delayed feedback control, a gene regulatory system, and an HIV transmission mod el. An entire chapter is devoted to the interesting dynamics exhibited by a chemostat model ofbacteriophage parasitism of bacteria. The book has a large number of exercises and illustrations. Hal Smith is a Professor at the School of Mathematical and Stat istical Sciences at Arizona State University.
Note:Springer eBooks
Contents:1 Introduction
The Simplest Delay Equation
Delayed Negative Feedback: A Warm
Up
Existence of Solutions
Linear Systems and Linearization
Semidynamical Systems and Delay Equations
Hopf Bifurcation
Distributed Delay Equations and the Linear Chain Trick
Phage and Bacteria in a Chemostat
References
Index
ISBN:9781441976468
Series:e-books
Series:SpringerLink (Online service)
Series:Texts in Applied Mathematics, 0939-2475 : v57
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Differential equations, partial , Biology Mathematics
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Call number:SPRINGER-2011-9780817649043:ONLINE Show nearby items on shelf
Title:Towards an Information Theory of Complex Networks [electronic resource] : Statistical Methods and Applications
Author(s): Matthias Dehmer
Frank Emmert-Streib
Alexander Mehler
Date:2011
Edition:1
Publisher:Boston : Birkhuser Boston
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:For over a decade, complex networks have steadily grown as an important tool across abroad array of academic disciplines, with applications ranging from physics to social media.A tightly organizedcollectionofcarefully-selected papers on the subject, Towards an Information Theory of Complex Networks: Statistical Methods and Applications presents theoretical and practical results about information-theoretic and statisticalmodels of complex networks in the natural sciences and humanities.The book'smajor goal is to advocate and promote a combination of graph-theoretic, information-theoretic, and statistical methods as a way to better understand andcharacterize real-world networks. This volume is the first to present a self-contained, comprehensive overvi ew of information-theoretic modelsof complex networks with an emphasis on applications. It begins with four chaptersdeveloping the most significant formal-theoretical issues of network modeling,butthe majority of the book is devoted tocombining theoretica l results with an empirical analysis of real networks. Specific topics include: chemicalgraph theory ecosystem interaction dynamics social ontologies language networks software systems Thiswork marks a first step toward establishing advanced statistical i nformation theory as a unified theoretical basis of complexnetworksfor allscientific disciplines. As such, itcan serve asa valuable resource foradiverse audience of advanced students and professional scientists.It is primarilyintendedas a reference for re search, but couldalso be a useful supplemental graduate text in courses related to information science, graph theory, machine learning, and computational biology, among others
Note:Springer eBooks
Contents:Preface
Entropy of Digraphs and Infinite Networks
An Information
Theoretic Upper Bound on Planar Graphs Using Well
orderly Maps
Probabilistic Inference Using Function Factorization and Divergence Minimization
Wave Localization on Complex Networks
Information
Theoretic Methods in Chemical Graph Theory
On the Development and Application of Net
Sign Graph Theory
The Central Role of Information Theory in Ecology
Inferences About Coupling from Ecological Surveillance Monitoring
Markov Entropy Centrality
Social Ontologies as Generalizedd Nearly Acyclic Directed Graphs
ISBN:9780817649043
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Coding theory , Artificial intelligence , Physiology Mathematics , Telecommunication
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