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SPIRES-BOOKS: FIND KEYWORD SCIENCE - DATA PROCESSING *END*INIT* use /tmp/qspiwww.webspi1/18637.16 QRY 131.225.70.96 . find keyword science - data processing ( in books using www Cover
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Call number:9783319463162:ONLINE Show nearby items on shelf
Title:Making Beautiful Deep-Sky Images Astrophotography with Affordable Equipment and Software
Author(s): Greg Parker
Date:2017
Edition:2nd ed. 2017
Size:1 online resource (XII, 189 p. 87 illus. in color p.)
Contents:How did I start? -- The Beginning – and a Serious Health Warning! -- Assembling your Imaging System -- Computational Considerations – Data Acquisition and Image Processing -- A Permanent Setup -- First Light – Choosing your Objects --
First Light – your First Objects -- Wide-Field Imaging with a Short Focal Length Refractor -- Hyperstar III Imaging -- Parallel Imaging with an Array -- Fundamentals of Image Processing -- Processing Professional Data -- The Deep-Sky
Images -- Differentiating your Work -- Your Largest Resource -- Book Recommendations -- Appendix 1 -- Appendix 2 -- Physics World Article -- Greg Parker -- Postscript to the 2nd Edition -- Index
ISBN:9783319463162
Series:eBooks
Series:Springer eBooks
Series:Springer 2017 package
Keywords: Popular works , Photography , Image processing , Observations, Astronomical , Astronomy , Astronomy , Popular Science , Popular Science in Astronomy , Astronomy, Observations and Techniques , Image Processing and Computer Vision , Photography
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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:10310727:ONLINE Show nearby items on shelf
Title:A Guide to Microsoft Excel 2007 for scientists and engineers [electronic resource]
Author(s): Bernard V. Liengme
David J. Ellert
Date:2009
Size:1 online resource (336 p.)
Contents:1. The Microsoft Excel Window 2. Basic Operations 3. Printing a Worksheet 4. Using Functions 5. Decision Functions 6. Charts 7. Curve Fitting 8. User-defined Functions 9. Modelling I 10. Solving Equations 11. Numerical Integration 12. Differential Equations 13. Modelling II 14. Statistics for Experimenters 15. Report Writing
ISBN:9780123746238
Series:ebrary eBook
Series:eBooks
Keywords: Engineering - Data processing , Microsoft Excel (Computer file) , Science - Data processing
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Call number:TA345.M3872::2009 Show nearby items on shelf
Title:Essential Mathcad for engineering, science, and math ISE
Author(s): Brent Maxfield
Date:2009
Edition:2nd ed.
Publisher:Burlington, MA : Academic Press
Size:501 p.
Note:CD-ROM includes Mathcad v.14 software
ISBN:9780123747839
Keywords: MathCAD. , Engineering mathematics Data processing.
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Call number:SPRINGER-2016-9784431553878:ONLINE Show nearby items on shelf
Title:Applied Matrix and Tensor Variate Data Analysis
Author(s):
Date:2016
Edition:1st ed. 2016
Size:1 online resource (23 p.)
Note:10.1007/978-4-431-55387-8
Contents:1 Three-Way Principal Component Analysis with its Applications to Psychology (Kohei Adachi) -- 2 Non-negative matrix factorization and its variants for audio signal processing (Hirokazu Kameoka) -- 3 Generalized Tensor PCA and its Applications to I mage Analysis (Kohei Inoue) -- 4 Matrix Factorization for Image Processing (Noboru Murata) -- 5 Arrays Normal Model and Incomplete Array Variate Observations (Deniz Akdemir) -- 6 One-sided Tests for Matrix Variate Normal Distribution (Manabu Iwasa and Tos hio Sakata)
ISBN:9784431553878
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Statistics , Statistics and Computing/Statistics Programs , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Statistics for Social Science, Behavorial Science, Education, Public Policy, and
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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-2016-9783319263892:ONLINE Show nearby items on shelf
Title:First-stage LISA Data Processing and Gravitational Wave Data Analysis Ultraprecise Inter-satellite Laser Ranging, Clock Synchronization and Novel Gravitational Wave Data Analysis Algorithms
Author(s): Yan Wang
Date:2016
Edition:1st ed. 2016
Size:1 online resource (1 p.)
Note:10.1007/978-3-319-26389-2
Contents:Introduction -- LISA data processing chain -- Applying the Kalman filter to a simple case -- The inter-spacecraft measurements -- Design a hybrid extended Kalman filter for the entire LISA constellation -- Alternative Kalman filter
models -- Broken laser links and robustness -- Optimal filtering for LISA with effective system models -- Clock noise and disordered measurements -- Octahedron configuration for a displacement noise-canceling gravitational wave
detector in space -- EMRI data analysis with a phenomenological waveform -- Fast detection and automatic parameter estimation of a gravitational wave signal with a novel method -- Likelihood transform: making optimization and parameter
estimation easier.
ISBN:9783319263892
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Data mining , Gravitation , Astrophysics , Quantum optics , Lasers , Photonics , Physical measurements , Measurement , Physics , Astrophysics and Astroparticles , Laser Technology, Photonics , Data Mining and Knowledge Discovery , Classical and Quantum Gravitation, Relativity Theory , Measurement Science and Instrumentation , Quantum Optics
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Call number:SPRINGER-2016-9783319218915:ONLINE Show nearby items on shelf
Title:Quantum Information Processing with Finite Resources Mathematical Foundations
Author(s): Marco Tomamichel
Date:2016
Edition:1st ed. 2016
Size:1 online resource (138 p.)
Note:10.1007/978-3-319-21891-5
Contents:Introduction -- Finite Resource Information Theory 1.2 Motivating Example -- Outline of the Book -- Modeling Quantum Information -- General Remarks on Notation -- Linear Operators and Events -- Functionals and States -- Multi-Partite
Systems -- Functions on Positive Operators -- Quantum Channels -- Background and Further Reading -- Norms and Metrics -- Norms for Operators and Quantum States -- Trace Distance -- Fidelity -- Purified Distance -- Background and
Further Reading -- Quantum Rényi Divergence -- Classical Rényi Divergence -- Classifying Quantum Rényi Divergences -- Minimal Quantum Rényi Divergence -- Petz Quantum Rényi Divergence -- Background and Further Reading -- Conditional
Rényi Entropy -- Conditional Entropy from Divergence -- Definitions and Properties.-Duality Relations and their Applications -- Chain Rules -- Background and Further Reading -- Smooth Entropy Calculus -- Min- and Max-Entropy -- Smooth
Entropies -- Properties of the Smooth Entropies -- Fully Quantum Asymptotic Equipartition Property -- Background and Further Reading -- Selected Applications -- Binary Quantum Hypothesis Testing -- Entropic Uncertainty Relations --
Randomness Extraction -- Background and Further Reading -- A Some Fundamental Matrix Analysis Results -- References
ISBN:9783319218915
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:SpringerBriefs in Mathematical Physics: 5
Keywords: Physics , Data structures (Computer science) , Quantum computers , Quantum physics , Spintronics , Physics , Quantum Physics , Quantum Computing , Data Structures, Cryptology and Information Theory , Quantum Information Technology, Spintronics
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Call number:SPRINGER-2016-9781441980717:ONLINE Show nearby items on shelf
Title:Encyclopedia of Color Science and Technology
Author(s):
Date:2016
Publisher:New York, NY : Springer New York
Size:1 online resource (553 p.)
Note:10.1007/978-1-4419-8071-7
Contents:Introduction -- Accessibility and Color -- Art Conservation and Color -- Capturing Color -- The Chemistry of Color -- Color and Architecture -- Color and Computer Graphics -- Color and Culture -- Color and Education -- Color
Appearance Correlates -- Color Crosscuts -- Color Design -- Color Differences -- Color Harmony -- Color Imaging -- Colorimetry and Color Spaces -- Color Management -- Color Palettes -- Data Visualization and Color -- The Description of
Color -- Displaying Color -- Encoding Color -- History of Color -- Industrial Color -- The Measurement of Color -- Organizing Color -- The Perception of Color -- The Physics of Color -- Printing Color -- Processing Color -- Quality of
Color
ISBN:9781441980717
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Printing , Publishers and publishing , Chemical engineering , Image processing , Optics , Optoelectronics , Plasmons (Physics) , Physics , Optics, Optoelectronics, Plasmonics and Optical Devices , Signal, Image and Speech Processing , Industrial Chemistry/Chemical Engineering , Image Processing and Computer Vision , Printing and Publishing
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Call number:SPRINGER-2016-9780387878119:ONLINE Show nearby items on shelf
Title:Generalized Principal Component Analysis
Author(s): René Vidal
Date:2016
Size:1 online resource (83 p.)
Note:10.1007/978-0-387-87811-9
Contents:Preface -- Acknowledgments -- Glossary of Notation.- Introduction.- I Modeling Data with Single Subspace -- Principal Component Analysis -- Robust Principal Component Analysis -- Nonlinear and Nonparametric Extensions -- II Modeling Data with Multi ple Subspaces -- Algebraic-Geometric Methods -- Statistical Methods -- Spectral Methods -- Sparse and Low-Rank Methods -- III Applications -- Image Representation -- Image Segmentation -- Motion Segmentation -- Hybrid System Identification -- Final Words -- Appendices -- References -- Index
ISBN:9780387878119
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Interdisciplinary Applied Mathematics: 40
Keywords: Mathematics , Image processing , Algebraic geometry , System theory , Statistics , Mathematics , Systems Theory, Control , Image Processing and Computer Vision , Signal, Image and Speech Processing , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Algebraic Geometry
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Call number:SPRINGER-2014-9783319063799:ONLINE Show nearby items on shelf
Title:Many-Electron Approaches in Physics, Chemistry and Mathematics [electronic resource] : A Multidisciplinary View
Author(s): Volker Bach
Luigi Delle Site
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:This book provides a broad description of the development and (computational) application of many-electron approaches from a multidisciplinary perspective. In the context of studying many-electron systems Computer Science,Chemistry, Mathematics and P hysics are all intimately interconnected. However, beyond a handful of communities working at the interface between these disciplines, there is still a marked separation of subjects. This book seeks to offera common platform for possible exchanges between the various fields and to introduce the reader to perspectives for potential further developments across the disciplines. The rapid advances of modern technology will inevitably requiresubstantial improvements in the approaches currently used, which will in turn make exchanges between disciplines indispensable. In essence this book is one of the very first attempts at an interdisciplinary approach to themany-electron problem
Contents:Topics in Quantum Chemistry
Relativistic Quantum Theory of Many
Electron Systems
Spurious Modes in Dirac Calculations and how to avoid them
Tensor product approximation (DMRG) and Coupled Cluster Method in Quantum Chemistry
Quantum Cluster Equilibrium
Linear Response Methods in Quantum Chemistry
Topics in Density Functional Theory and Related Approaches
Progress on New Approaches to Old Ideas: Orbital
free Density Functionals
Time
dependent Density Functional Theory
Density Functional Theory for Strongly
Interacting Electrons
Towards the Computational Design of Co
ISBN:9783319063799
Series:eBooks
Series:SpringerLink
Series:Mathematical Physics Studies, 0921-3767
Series:Physics and Astronomy (Springer-11651)
Keywords: Chemistry , Electronic data processing
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Call number:SPRINGER-2014-9783319048796:ONLINE Show nearby items on shelf
Title:Networks of Echoes [electronic resource] : Imitation, Innovation and Invisible Leaders
Author(s): Bruce J West
Malgorzata Turalska
Paolo Grigolini
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:Networks of Echoes: Imitation, Innovation and Invisible Leaders is a mathematically rigorous and data rich book on a fascinating area of the science and engineering of social webs. There are hundreds of complex networkphenomena whose statistical prop erties are described by inverse power laws. The phenomena of interest are not arcane events that we encounter only fleetingly, but are events that dominate our lives. We examine how this intermittentstatistical behavior intertwines itself with what appear s to be the organized activity of social groups. The book is structured as answers to a sequence of questions such as: How are decisions reached in elections and boardrooms?How is the stability of a society undermined by zealots and committed minorities, and how is that stability re-established? Can we learn to answer such questions about human behavior by studying the way flocks of birds retain theirformation when eluding a predator? These questions and others are answered using a generic model of a comp lex dynamic networkone whose global behavior is determined by a symmetric interaction among individuals based on socialimitation.The complexity of the network is manifest in time series resulting from self-organized critical dynamics that have divergent f irst and second moments, are non-stationary, non-ergodic, and non-Poisson. How phasetransitions in the network dynamics influence such activity as decision making is a fascinating story and provides a context for introducing many of the mathematical ideas necessary for understanding complex networks in general. Thedecision making model (DMM) is selected to emphasize that there are features of complex webs that supersede specific mechanisms and need to be understood from a general perspective. This insight ful overview of recent tools and theiruses may serve as an introduction and curriculum guide in related courses
Contents:Networking Perspective
Complexity Primer
A Model of Decision Making
Criticality and Crowds
Networks of Influence
Critical Networks
ISBN:9783319048796
Series:eBooks
Series:SpringerLink
Series:Computational Social Sciences
Series:Physics and Astronomy (Springer-11651)
Keywords: Social sciences Data processing , Mathematics , Social sciences Methodology
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Call number:SPRINGER-2014-9783319024479:ONLINE Show nearby items on shelf
Title:Pedestrian and Evacuation Dynamics 2012 [electronic resource]
Author(s): Ulrich Weidmann
Uwe Kirsch
Michael Schreckenberg
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:The 6th International Conference on Pedestrian and Evacuation Dynamics conference (PED2012) showcased research on human locomotion. This book presents the proceedings of PED2012. Humans have walked for eons our drive to settlethe globe began with a w alk out of Africa. However, much remains to discover. As the world moves toward sustainability while racing to assess and accommodate climate change, research must provide insight on the physical requirements ofwalking, the dynamics of pedestrians on the move and more. We must understand, predict and simulate pedestrian behaviour, to avoid dangerous situations, to plan for emergencies, and not least, to make walking more attractive andenjoyable. PED2012 offered 70 presentations and keynotes and 70 poster presentations covering new and improved mathematical models, describing new insights on pedestrian behaviour in normal and emergency cases and presenting researchbased on sensors and advanced observation methods. These papers offer a starting point for in novative new research, building a strong foundation for the next conference and for future research
Contents:Preface
Keynotes
Experiment and Evacuation
Simulation and Modeling
Psychology
Miscellaneous
ISBN:9783319024479
Series:eBooks
Series:SpringerLink
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Electronic data processing , Computer simulation , Computer science , Engineering mathematics , Civil engineering , Operations research
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Call number:SPRINGER-2014-9783319020907:ONLINE Show nearby items on shelf
Title:Reduced Order Methods for Modeling and Computational Reduction [electronic resource]
Author(s): Alfio Quarteroni
Gianluigi Rozza
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:This monograph addresses the state of the art of reduced order methods for modeling and computational reduction of complex parametrized systems, governed by ordinary and/or partial differential equations, with a special emphasison real time computing techniques and applications in computational mechanics, bioengineering and computer graphics. Several topics are covered, including: design, optimization, and control theory in real-time with applications inengineering data assimilation, geometry registr ation, and parameter estimation with special attention to real-time computing in biomedical engineering and computational physics real-time visualization of physics-based simulations incomputer science the treatment of high-dimensional problems in state s pace, physical space, or parameter space the interactions between different model reduction and dimensionality reduction approaches the development of generalerror estimation frameworks which take into account both model and discretization effects. This b ook is primarily addressed to computational scientists interested in computational reduction techniques for large scale differentialproblems
Contents:1 W. H. A. Schilders, A. Lutowska: A novel approach to model order reduction for coupled multiphysics problems
2 A. C. Ionita, A. C. Antoulas: Case study. Parametrized Reduction using Reduced
Basis and the Loewner Framework
3 M. Bebendorf, Y. Maday, B. Stamm: Comparison of some reduced representation approximations
4 H. Antil, M. Heinkenschloss, D. C. Sorensen: Application of the Discrete Empirical Interpolation Method to Reduced Order Modeling of Nonlinear and Parametric System
5 K. Urban, S. Volkwein, O. Zeeb: Greedy Sampling using Nonlinear Optimization
6 P. Benner, L. Feng:
ISBN:9783319020907
Series:eBooks
Series:SpringerLink
Series:MS&A - Modeling, Simulation and Applications, 2037-5255 : v9
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Electronic data processing , Computer science Mathematics , Engineering mathematics , Materials
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Call number:SPRINGER-2014-9783319015507:ONLINE Show nearby items on shelf
Title:Advanced Materials for Integrated Optical Waveguides [electronic resource]
Author(s): Xingcun Colin Tong Ph.D
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:This book provides a comprehensive introduction to integrated optical waveguides for information technology and data communications. Integrated coverage ranges from advanced materials, fabrication, and characterization techniquesto guidelines for des ign and simulation. A concluding chapter offers perspectives on likely future trends and challenges. The dramatic scaling down of feature sizes has driven exponential improvements in semiconductor productivity andperformance in the past several decades. H owever, with the potential of gigascale integration, size reduction is approaching a physical limitation due to the negative impact on resistance and inductance of metal interconnects withcurrent copper-trace based technology. Integrated optics provides a potentially lower-cost, higher performance alternative to electronics in optical communication systems. Optical interconnects, in which light can be generated, guided,modulated, amplified, and detected, can provide greater bandwidth, lower power consumpt ion, decreased interconnect delays, resistance to electromagnetic interference, and reduced crosstalk when integrated into standard electroniccircuits. Integrated waveguide optics represents a truly multidisciplinary field of science and engineering, with continued growth requiring new developments in modeling, further advances in materials science, and innovations inintegration platforms. In addition, the processing and fabrication of these new devices must be optimized in conjunction with the developmen t of accurate and precise characterization and testing methods. Students and professionals inmaterials science and engineering will find Advanced Materials for Integrated Optical Waveguides to be an invaluable reference for meeting these research and deve lopment goals. Suitable as an in-depth introduction for students andtraining groups Serves as a comprehensive, one-stop reference for researchers and other materials science and engineering professional
Contents:Preface
Abbreviations
1 Fundamentals and design guides for optical waveguides
2 Characterization methodologies of optical waveguides
3 Optoelectronic devices integrated with optical waveguides
4 Optical fibers
5 Semiconductor waveguides
6 Silicon
on
insulator waveguides
7 Glass waveguides
8 Electro
optic waveguides
9 Polymer based optical waveguides
10 Hollow waveguides
11 Metamaterial optical waveguides
12 Perspectives and future trends
Index
ISBN:9783319015507
Series:eBooks
Series:SpringerLink
Series:Springer Series in Advanced Microelectronics, 1437-0387 : v46
Series:Physics and Astronomy (Springer-11651)
Keywords: Electronics , Optical materials
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Call number:SPRINGER-2014-9781461488361:ONLINE Show nearby items on shelf
Title:Solid-State Electronic Devices [electronic resource] : An Introduction
Author(s): Christo Papadopoulos
Date:2014
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:A modern and concise treatment of the Solid-State Electronic Devices that are fundamental to electronic systems and information technology is provided in this book. The main devices that comprise semiconductor integrated circuitsare covered in a clea r manner accessible to the wide range of scientific and engineering disciplines that are impacted by this technology. As the field of electronic materials and devices becomes more interdisciplinary, catering to awider audience is becoming increasingly imp ortant with applications in biology, chemistry and electro-mechanical devices (to name a few) becoming more prevalent. Updated and state-of-the-art advancements are included along withemerging trends in electronic devices and their applications. In additi on, an appendix containing the relevant physical background is included to assist readers from diff erent disciplines and provide a review for those more familiarwith the area. Readers of this book can expect to derive a strong foundation for understandin g modern electronic devices and also be prepared for future developments and advancements in this far-reaching area of science andtechnology
Contents:Preface
Chapter 1 Introduction
Chapter 2 Junctions and Diodes
Chapter 3 Bipolar transistors
Chapter 4 Field Effect Transistors
Chapter 5
Emerging Devices for Electronics and Beyond
Appendix I
A.1 Quantum mechanics
A.2 Semiconductor physics
A.3 Outline of semiconductor planar processing
Appendix II Useful data
Bibliography
List of Symbols
Index
ISBN:9781461488361
Series:eBooks
Series:SpringerLink
Series:Undergraduate Lecture Notes in Physics, 2192-4791
Series:Physics and Astronomy (Springer-11651)
Keywords: Engineering , Electronics
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Call number:SPRINGER-2013-9783540938132:ONLINE Show nearby items on shelf
Title:Simulating Social Complexity [electronic resource] : A Handbook
Author(s): Bruce Edmonds
Ruth Meyer
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:Social systems are among the most complex known. This poses particular problems for those who wish to understand them. The complexity often makes analytic approaches infeasible and natural language approaches inadequate forrelating intricate cause an d effect. However, individual- and agent-based computational approaches hold out the possibility of new and deeper understanding of such systems. Simulating Social Complexity examines all aspects of usingagent- or individual-based simulation. This approac h represents systems as individual elements having each their own set of differing states and internal processes. The interactions between elements in the simulation representinteractions in the target systems. What makes these elements social is that the y are usefully interpretable as interacting elements of an observed society. In this, the focus is on human society, but can be extended to includesocial animals or artificial agents where such work enhances our understanding of human society. The phenome na of interest then result (emerge) from the dynamics of the interaction of social actors in an essential way and are usuallynot easily simplifiable by, for example, considering only representative actors. The introduction of accessible agent-based modell ing allows the representation of social complexity in a more natural and direct manner than previoustechniques. In particular, it is no longer necessary to distort a model with the introduction of overly strong assumptions simply in order to obtain analyt ic tractability. This makes agent-based modelling relatively accessible to arange of scientists. The outcomes of such models can be displayed and animated in ways that also make them more interpretable by experts and stakeholders. This handbook is intende d to help in the process of maturation of this newfield. It brings together, through the collaborative effort of many leading researchers, summaries of the best thinking and practice in this a
Note:Springer eBooks
Contents:Introduction
Methodology
Mechanisms
Applictions
ISBN:9783540938132
Series:e-books
Series:SpringerLink (Online service)
Series:Understanding Complex Systems, 1860-0832
Series:Physics and Astronomy (Springer-11651)
Keywords: Computer science , Electronic data processing , Social sciences Data processing , Animal behavior , Mathematics , Social sciences
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Call number:SPRINGER-2013-9783319000350:ONLINE Show nearby items on shelf
Title:Algorithms from and for Nature and Life [electronic resource] : Classification and Data Analysis
Author(s): Berthold Lausen
Dirk Van den Poel
Alfred Ultsch
Date:2013
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This volume provides approaches and solutions to challenges occurring at the interface of research fields such as, e.g., data analysis, data mining and knowledge discovery, computer science, operations research, and statistics. Inaddition to theory-o riented contributions various application areas are included. Moreover, traditional classification research directions concerning network data, graphs, and social relationships as well as statistical musicologydescribe examples for current interest fields tackled by the authors. The book comprises a total of 55 selected papers presented at the Joint Conference of the German Classification Society (GfKl),the German Association for PatternRecognition (DAGM), and the Symposium of the International Federation of Classification Societies (IFCS) in 2011
Note:Springer eBooks
Contents:Invited
Clustering and Unsupervised Learning
Statistical Data Analysis, Visualization and Scaling
Bioinformatics and Biostatistics
Archaeology and Geography, Psychology and Educational Sciences
Text Mining, Social Networks and Clustering
Banking and Finance
Marketing and Management
Music Classification Workshop
ISBN:9783319000350
Series:e-books
Series:SpringerLink (Online service)
Series:Studies in Classification, Data Analysis, and Knowledge Organization, 1431-8814
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Data mining , Social sciences Data processing , Mathematical statistics , Economics Statistics , Operations research
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Call number:SPRINGER-2013-9781461467175:ONLINE Show nearby items on shelf
Title:Evaluating Measurement Accuracy [electronic resource] : A Practical Approach
Author(s): Semyon G Rabinovich
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 goal of Evaluating Measurement Accuracy: A Practical Approach is to present methods for estimating the accuracy of measurements performed in industry, trade, and scientific research. From developing the theory of indirectmeasurements to proposing new methods of reduction, transformation, and enumeration, this work encompasses the full range of measurement data processing. It includes many examples that illustrate the application of general theory totypical problems encountered in measurement prac tice. As a result, the book serves as an inclusive reference work for data processing of all types of measurements: single and multiple, combined and simultaneous, direct (both linear andnonlinear), and indirect (both dependent and independent). It is a w orking tool for experimental scientists and engineers of all disciplines who work with instrumentation. It is also a good resource for natural science and engineeringstudents and for technicians performing measurements in industry. A key feature of the bo ok is a new general theory of measurements that is both well-grounded and oriented towards real-life needs of measurement practitioners. Althoughthe traditional theory focuses on multiple measurements, single measurements are the ones most commonly used. This book presents methods for evaluating accuracy of single measurements and answers other fundamental questions notaddressed adequately by the traditional theory, such as how to combine various components of measurement inaccuracy when evaluating the co mplete uncertainty of a measurement result. For its second edition, the book adds significant newmaterial to incorporate recent metrological developments and expand coverage, including: The new method of enumeration of experimental data processing for i ndependent indirect multiple measurements which isprecise and does not rely on questionable assumptions. The analysis of reliability of estimates of statistical pa
Note:Springer eBooks
Contents:General Concepts in the Theory of Measurements
Measuring Instruments and Their Properties
Statistical Methods for Experimental Data Processing
Direct Measurements
Indirect Measurements
Combined and Simultaneous Measurements
Combining the Results of Measurements
Examples of Measurements and Measurement Data Processing
The International Vocabulary of Metrology and the Guide to the Expression of Uncertainty in Measurement Analysis, Criticism, and Recommendations
ISBN:9781461467175
Series:e-books
Series:SpringerLink (Online service)
Series:Physics and Astronomy (Springer-11651)
Keywords: System safety , Surfaces (Physics)
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Call number:SPRINGER-2013-9781447148173:ONLINE Show nearby items on shelf
Title:Polyhedral and Algebraic Methods in Computational Geometry [electronic resource]
Author(s): Michael Joswig
Thorsten Theobald
Date:2013
Publisher:London : Springer London : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Polyhedral and Algebraic Methods in Computational Geometry provides a thorough introduction into algorithmic geometry and its applications. It presents its primary topics from the viewpoints of discrete, convex and elementaryalgebraic geometry. The f irst part of the book studies classical problems and techniquesthat refer to polyhedral structures. The authors include a study on algorithms for computing convex hulls as well as the construction ofVoronoi diagrams and Delone triangulations. The second p art of the book develops the primary concepts of (non-linear) computational algebraic geometry. Here, the book looks at Grbner bases and solving systems of polynomialequations. The theory is illustrated by applications in computer graphics, curve reconstr uction and robotics. Throughout the book, interconnections between computational geometry and other disciplines (such as algebraic geometry,optimization and numerical mathematics) are established. Polyhedral and Algebraic Methods in Computational Geometry is directed towards advanced undergraduates in mathematics and computer science, as well as towards engineeringstudents who are interested in the applications of computational geometry
Note:Springer eBooks
Contents:Introduction and Overview
Geometric Fundamentals
Polytopes and Polyhedra
Linear Programming
Computation of Convex Hulls
Voronoi Diagrams
Delone Triangulations
Algebraic and Geometric Foundations
Grbner Bases and Buchbergers Algorithm
Solving Systems of Polynomial Equations Using Grbner Bases
Reconstruction of Curves
Plcker Coordinates and Lines in Space
Applications of Non
Linear Computational Geometry
Algebraic Structures
Separation Theorems
Algorithms and Complexity
Software
Notation
ISBN:9781447148173
Series:e-books
Series:SpringerLink (Online service)
Series:Universitext, 0172-5939
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science , Algebra Data processing , Algorithms , Geometry , Discrete groups
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Call number:SPRINGER-2013-9780817649487:ONLINE Show nearby items on shelf
Title:A Mathematical Introduction to Compressive Sensing [electronic resource]
Author(s): Simon Foucart
Holger Rauhut
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Birkhuser
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:At the intersection of mathematics, engineering, and computer science sits the thriving field of compressive sensing. Based on the premise that data acquisition and compression can be performed simultaneously, compressive sensingfinds applications in imaging, signal processing, and many other domains. In the areas of applied mathematics, electrical engineering, and theoretical computer science, an explosion of research activity has already followed thetheoretical results that highlighted the efficien cy of the basic principles. The elegant ideas behind these principles are also of independent interest to pure mathematicians. A Mathematical Introduction to Compressive Sensing gives adetailed account of the core theory upon which the field is build. Key features include: The first textbook completely devoted to the topic of compressive sensing Comprehensive treatment of thesubject, including background material from probability theory, detailed proofs of the main theorems, and an outline of possible a pplications Numerous exercises designed to help students understand the material An extensive bibliography with over 500 references that guide researchers through the literature With only moderate prerequisites, A Mathematical Introduction to Compressive Sensing is an excellent textbook forgraduate courses in mathematics, engineering, and computer science. It also serves as a reliable resource for practitioners and researchers in these disciplines who want to acquire a careful understanding of the subjec t
Note:Springer eBooks
Contents:1 An Invitation to Compressive Sensing
2 Sparse Solutions of Underdetermined Systems
3 Basic Algorithms
4 Basis Pursuit
5 Coherence
6 Restricted Isometry Property
7 Basic Tools from Probability Theory
8 Advanced Tools from Probability Theory
9 Sparse Recovery with Random Matrices
10 Gelfand Widths of l1
Balls
11 Instance Optimality and Quotient Property
12 Random Sampling in Bounded Orthonormal Systems
13 Lossless Expanders in Compressive Sensing
14 Recovery of Random Signals using Deterministic Matrices
15 Algorithms for l1
Minimization
Appendix A
ISBN:9780817649487
Series:e-books
Series:SpringerLink (Online service)
Series:Applied and Numerical Harmonic Analysis, 2296-5009
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science , Functional analysis , Telecommunication
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Call number:SPRINGER-2012-9789400726369:ONLINE Show nearby items on shelf
Title:The Linear Algebra a Beginning Graduate Student Ought to Know [electronic resource]
Author(s): Jonathan S Golan
Date:2012
Edition:3rd ed. 2012
Publisher:Dordrecht : Springer Netherlands
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Linear algebra is a living, active branch of mathematics which is central to almost all other areas of mathematics, both pure and applied, as well as to computer science, to the physical, biological, and social sciences, and toengineering. It encompa sses an extensive corpus of theoretical results as well as a large and rapidly-growing body of computational techniques. Unfortunately, in the past decade, the content of linear algebra courses required tocomplete an undergraduate degree in mathematics ha s been depleted to the extent that they fail to provide a sufficient theoretical or computational background. Students are not only less able to formulate or even follow mathematicalproofs, they are also less able to understand the mathematics of the nume rical algorithms they need for applications. Certainly, the material presented in the average undergraduate course is insufficient for graduate study. This bookis intended to fill the gap which has developed by providing enough theoretical and computation al material to allow the advanced undergraduate or beginning graduate student to overcome this deficiency and be able to work independentlyor in advanced courses. The book is intended to be used either as a self-study guide, a textbook for a course in adv anced linear algebra, or as a reference book. It is also designed to prepare a student for the linear algebra portionof prelim exams or PhD qualifying exams. The volume is self-contained to the extent that it does not assume any previous formal knowledge of linear algebra, though the reader is assumed to have been exposed, at least informally, tosome of the basic ideas and techniques, such as manipulation of small matrices and the solution of small systems of linear equations over the real numbers. More i mportantly, it assumes a seriousness of purpose, considerable motivation,and a modicum of mathematical sophistication on the part of the reader. In the latest edition, new major theorems have been added
Note:Springer eBooks
ISBN:9789400726369
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Electronic data processing , Algebra , Matrix theory , Algorithms
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Call number:SPRINGER-2012-9783642300233:ONLINE Show nearby items on shelf
Title:Recent Advances in Algorithmic Differentiation [electronic resource]
Author(s): Shaun Forth
Paul Hovland
Eric Phipps
Jean Utke
Andrea Walther
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:The proceedings represent the state of knowledge in the area of algorithmic differentiation (AD). The 31 contributed papers presented at the AD2012 conference cover the application of AD to many areas in science and engineeringas well as aspects of A D theory and its implementation in tools. For all papers the referees, selected from the program committee and the greater community, as well as the editors have emphasized accessibility of the presented ideasalso to non-AD experts. In the AD tools arena new implementations are introduced covering, for example, Java and graphical modeling environments or join the set of existing tools for Fortran. New developments in AD algorithms targetthe efficiency of matrix-operation derivatives, detection and exploit ation of sparsity, partial separability, the treatment of nonsmooth functions, and other high-level mathematical aspects of the numerical computations to bedifferentiated. Applications stem from the Earth sciences, nuclear engineering, fluid dynamics, and chemistry, to name just a few. In many cases the applications in a given area of science or engineering share characteristics thatrequire specific approaches to enable AD capabilities or provide an opportunity for efficiency gains in the derivative compu tation. The description of these characteristics and of the techniques for successfully using AD should makethe proceedings a valuable source of information for users of AD tools
Note:Springer eBooks
ISBN:9783642300233
Series:e-books
Series:SpringerLink (Online service)
Series:Lecture Notes in Computational Science and Engineering, 1439-7358 : v87
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science , Electronic data processing , Computer science Mathematics , Computer software , Mathematical optimization
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Call number:SPRINGER-2012-9783642295843:ONLINE Show nearby items on shelf
Title:Intuitionistic Fuzzy Information Aggregation [electronic resource] : Theory and Applications
Author(s): Zeshui Xu
Xiaoqiang Cai
Date:2012
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
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Note:Intuitionistic Fuzzy Information Aggregation: Theory and Applications is the first book to provide a thorough and systematic introduction to intuitionistic fuzzy aggregation methods, the correlation, distance and similaritymeasures of intuitionistic fuzzy sets and various decision-making models and approaches based on the above-mentioned information processing tools. Through numerous practical examples and illustrations with tables and figures, it offersresearchers and professionals in the fields of fuzzy mathematics, information fusion and decision analysis the most recent research findings, developed by the authors. Zeshui Xu is a Professor at the PLA University of Science andTechnology, China. Xiaoqiang Cai is a Professor at the Chinese Universit y of Hong Kong, China
Note:Springer eBooks
Contents:Intuitionistic Fuzzy Information Aggregation
Interval
Valued Intuitionistic Fuzzy Information Aggregation
The Correlation, Distance and Similarity Measures of Intuitionistic Fuzzy Sets
Intuitionistic Fuzzy Clustering Algorithms
The Decision
Making Models and Approaches Based on Intuitionistic Preference Relations
Projection Models
Based Approaches to Intuitionistic Fuzzy Multi
Attribute Decision
Making
Dynamic Intuitionistic Fuzzy Multi
Attribute Decision
Making
Nonlinear Optimization Models for Multiple Attribute Group Decision Making with Intuitionistic Fuzzy Information
ISBN:9783642295843
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Electronic data processing , Computer science Mathematics , Engineering mathematics
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Call number:SPRINGER-2012-9783642294402:ONLINE Show nearby items on shelf
Title:Linguistic Decision Making [electronic resource] : Theory and Methods
Author(s): Zeshui Xu
Date:2012
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
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Note:Springer 2013 e-book collections
Note:Linguistic Decision Making: Theory and Methods is the first monograph which mainly deals with the interdisciplinary subject of computing with words, information fusion and decision analysis. It provides a thorough andsystematic introduction to the li nguistic aggregation operators, linguistic preference relations, and various models for and approaches to multi-attribute decision making with linguistic information. It also offers various practicalexamples with tables and figures to illustrate the theor y and methods discussed. Researchers and professionals engaged in the relevant fields will find it a useful reference book. Professor Zeshui Xu, senior member of the IEEE, worksat the PLA University of Science and Techology, China
Note:Springer eBooks
Contents:Linguistic Evaluation Scales
Linguistic Aggregation Operators
Linguistic Preference Relations
Approaches to Linguistic Multi
Attribute Decision Making
ISBN:9783642294402
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Data mining , Electronic data processing , Mathematical optimization , Operations research
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Call number:SPRINGER-2012-9783642290008:ONLINE Show nearby items on shelf
Title:Why Society is a Complex Matter [electronic resource] : Meeting Twenty-first Century Challenges with a New Kind of Science
Author(s): Philip Ball
Date:2012
Edition:1
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
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Note:Society is complicated. But this book argues that this does not place it beyond the reach of a science that can help to explain and perhaps even to predict social behaviour. As a system made up of many interacting agents people, groups, institutions and governments, as well as physical and technological structures such as roads and computer networks society can be regarded as a complex system. In recent years, scientists have made great progress inunderstanding how such complex systems operate, rang ing from animal populations to earthquakes and weather. These systems show behaviours that cannot be predicted or intuited by focusing on the individual components, but which emergespontaneously as a consequence of their interactions: they are said to be self-organized. Attempts to direct or manage such emergent properties generally reveal that top-down approaches, which try to dictate a particularoutcome, are ineffectual, and that what is needed instead is a bottom-up approach that aims to guide self-org anization towards desirable states. This book shows how some of these ideas from the science of complexity can beapplied to the study and management of social phenomena, including traffic flow, economic markets, opinion formation and the growth and struct ure of cities. Building on these successes, the book argues that the complex-systems view ofthe social sciences has now matured sufficiently for it to be possible, desirable and perhaps essential to attempt a grander objective: to integrate these efforts into a unified scheme for studying, understanding and ultimatelypredicting what happens in the world we have made. Such a scheme would require the mobilization and collaboration of many different research communities, and would allow society and its inter actions with the physical environment to beexplored through realistic models and large-scale data collection and analysis. It should enable us to find new and effective solutions
Note:Springer eBooks
Contents:Society: a Complex Problem
On the Road: Predicting traffic
Every Move You Make: Patterns of crowd movement
Making Your Mind Up: Norms and decisions
Broken Windows: The spread and control of crime
The Social Web: Networks and their failures
Spreading It Around: Mobility, disease and epidemics
After the Crash: Economic and financial systems
Love Thy Neighbour: How to foster cooperation
Living Cities: Urban development as a complex system
The Transformation of War: Modelling modern conflict
Towards a Living Earth Simulator: The FuturICT Project
ISBN:9783642290008
Series:e-books
Series:SpringerLink (Online service)
Series:Physics and Astronomy (Springer-11651)
Keywords: Social sciences Data processing , Engineering , Economics , Social sciences Methodology
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Call number:SPRINGER-2012-9783642258961:ONLINE Show nearby items on shelf
Title:Computational Fluid Dynamics Based on the Unified Coordinates [electronic resource]
Author(s): Wai-How Hui
Kun Xu
Date:2012
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
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Note:Computational Fluid Dynamics Based on the Unified Coordinates reviews the relative advantages and drawbacks of Eulerian and Lagrangian coordinates as well as the Arbitrary Lagrangian-Eulerian (ALE) and various moving meshmethods in Computational Flui d Dynamics (CFD) for one- and multi-dimensional flows. It then systematically introduces the unified coordinate approach to CFD, illustrated with numerous examples and comparisons to clarify its relationwith existing approaches. The book is intended for r esearchers and practitioners in the field of Computational Fluid Dynamics. Emeritus Professor Wai-Hou Hui and Professor Kun Xu both work at the Department of Mathematics of the HongKong University of Science & Technology, China
Note:Springer eBooks
Contents:Derivation of Conservation Law Equations
Review of Eulerian Computation for One
dimensional Flow
One
Dimensional Flow Computation Using the Unified Coordinates
Comments on Current Methods for Multi
Dimensional Flow Computation
The Unified Coordinates Formulation of CFD
Properties of the Unified Coordinates
Lagrangian Gas Dynamics
Steady 2
D and 3
D Supersonic Flow
Unsteady 2
D and 3
D Flow Computation
Viscous Flow Computation
Applications of the Unified Coordinates to Kinetic Theory
ISBN:9783642258961
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Electronic data processing , Computer science Mathematics
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Call number:SPRINGER-2012-9783642249747:ONLINE Show nearby items on shelf
Title:Optimization for Industrial Problems [electronic resource]
Author(s): Patrick Bangert
Date:2012
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Industrial optimization lies on the crossroads between mathematics, computer science, engineering and management. This book presents these fields as a conversation between the theory of mathematics and computer science and casestudies demonstrating e ngineering and management. Most of all, the case studies illustrate what may reasonably be expected from an optimization project in a commercial enterprise. While many other books treat some of the aspects ofthis book, it is practical and may be used as a manual for conducting an optimization project. This book will not make its reader into a mathematician but it will help him to improve his plant. The book requires no mathematical ortechnical background beyond a good high school training all else is addr essed within. It is aimed at managers or engineers of industrial facilities and is also suitable for university students and their professors as an illustrationof how academic material may be used in real life. The book includes 19 case studies that were conducted in real plants. They include chemical plants, fossil power plants, wind power plants, nuclear power plants, oil refineries, oilproduction plants, injection molding fascilities and retail industry shops. All case studies were conducted by the aut hor in cooperation and co-authorship with some of the leading industrial enterprises including RWE, Vattenfall, EDF,PetroChina, Vestolit, Sasol, and Hella
Note:Springer eBooks
Contents:Overview of Heuristic Optimization
Statistical Analysis in Solution Space
Project Management
Pre
processing: Cleaning up Data
Data Mining: Knowledge from Data
Modeling: Neural Networks
Optimization: Simulated Annealing
The Human Aspect in Sustainable Change and Innovation
ISBN:9783642249747
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Mathematical optimization
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Call number:SPRINGER-2012-9783642230998:ONLINE Show nearby items on shelf
Title:Automated Solution of Differential Equations by the Finite Element Method [electronic resource] : The FEniCS Book
Author(s): Anders Logg
Kent-Andre Mardal
Garth Wells
Date:2012
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book is written by researchers and developers behind the FEniCS Project and explores an advanced, expressive approach to the development of mathematical software. The presentation spans mathematical background, softwaredesign and the use of FEni CS in applications. Theoretical aspects are complemented with computer code which is available as free/open source software. The book begins with a tutorial for readers who are new to the topic. Following thetutorial, chapters in Part I address fundamenta l aspects of the approach to automating the creation of finite element solvers. Chapters in Part II address the design and implementation of the FEnicS software. Chapters in Part IIIpresent the application of FEniCS to a wide range of applications, includ ing fluid flow, solid mechanics, electromagnetics and geophysics
Note:Springer eBooks
ISBN:9783642230998
Series:e-books
Series:SpringerLink (Online service)
Series:Lecture Notes in Computational Science and Engineering, 1439-7358 : v84
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Geography , Electronic data processing , Computer science , Computer software , Engineering mathematics
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Call number:SPRINGER-2012-9783642221132:ONLINE Show nearby items on shelf
Title:Star Clusters in the Era of Large Surveys [electronic resource] : Proceedings of Symposium 5 of JENAM 2010
Author(s): Andr Moitinho
Joo Alves
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:The symposium Star Clusters in the Era of Large Surveys was held in Lisbon on Sep 9-10 during the JENAM 2010. It served as a platform for discussing what and how recent, on-going and planned large-area ground-based andspace-based surveys can contribu te to producing a major leap in this research field, which has a strong European history. Scientific topics addressed included: Cluster searches Clustered vs. isolated star formation, large-scalestar formation, enrichment of the field population Struct ure, populations and evolution of the Milky Way Cluster dynamics (internal and within the Milky Way) Variability of stars in clusters (from time-resolved surveys) Analysis techniques for large samples Archiving This proceedings book provides a snapshot of the ongoing discussion on the role of large surveys in star cluster research, and serves as a reference volume for the state-of-the art inthe field
Note:Springer eBooks
Contents:Part I Recent, on
going and planned surveys. Cluster searches. Technical challenges
Optical digital Galactic Plane surveys and star
cluster science
Census of Milky Way Star Clusters from Infrared Surveys
Time
resolved surveys of stellar clusters
SDSS
III/APOGEE: Detailed Abundances of Galactic Star Clusters
Processing Data from Large Infrared Surveys
Properties of Star Clusters Found and Investigated by Data from Large Surveys
Developments of the open cluster database WEBDA
Inferring stellar properties using colours, parallaxes and an HRD prior
AstrOmatic software in
ISBN:9783642221132
Series:e-books
Series:SpringerLink (Online service)
Series:Astrophysics and Space Science Proceedings, 1570-6591
Series:Physics and Astronomy (Springer-11651)
Keywords: Astronomy
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Call number:SPRINGER-2012-9781461441090:ONLINE Show nearby items on shelf
Title:Applications of Mathematics and Informatics in Military Science [electronic resource]
Author(s): Nicholas J Daras
Date:2012
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:Analysis, assessment, and data management are core tools required for operation research analysts. The April 2011 conference held at the Helenic Army Academy addressed these topics with efforts to collect valuable recommendationsfor improving analyst s capabilities to assess and communicate necessary qualitative data to military leaders. This unique volume is comprised of contributions from the fields of science, mathematics, and the military, andincludes a foreword written by the general manager of the NATO Consultation Command and Control Agency (NC3A). This work will be of interest to a diverse audience including military operations research analysts, the militarycommunity at large, and practitioners working with mathematical methods and applicati ons to informatics and military science. Applications of Mathematics and Informatics in Military Science covers a wide variety of mathematicalmethods used with application to defense and security. Each contribution considers directions and pursuits of sci entists that pertain to the military as well as the theoretical background required for methods, algorithms, andtechniques used in military applications. The direction of theoretical results in these applications is conveyed and open problems and future a reas of focus are highlighted. Topics covered include: applied OR and militaryapplications, signal processing, scattering, scientific computing and applications, combat simulation and statistical modeling, satellite remote sensing, and applied informatic s (cryptography and coding)
Note:Springer eBooks
Contents:Foreword
Preface
Table of Contents
1. The Significance of Research and Development for the National Defence and its Relation with the Military University Institutions (N. Uzunoglu)
2. Selected Topics in Critical Element Detection (J.L. Walteros, P.M. Pardalos)
3. Study of Engagement with Mobile Targets (S. Tassopoulos)
4. Solving an Electromagnetic Scattering Problem in Chiral Media (C. Athanasiadis, S. Dimitroula, K. Skourogiannis)
5. Orthonormality in Interpolation Schemes for Reconstructing Signals (N.J. Daras)
6. Computer Graphics Techniques in Military Applications
ISBN:9781461441090
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Optimization and Its Applications, 1931-6828 : v71
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer vision , Computer science , Mathematical optimization
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Call number:SPRINGER-2012-9781461436737:ONLINE Show nearby items on shelf
Title:The Solar Dynamics Observatory [electronic resource]
Author(s): Phillip Chamberlin
William Dean Pesnell
Barbara Thompson
Date:2012
Publisher:New York, NY : Springer US
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This volume is dedicated to the Solar Dynamics Observatory (SDO), which was launched 11 February 2010. The articles focus on the spacecraft and its instruments: the Atmospheric Imaging Assembly (AIA), the Extreme UltravioletVariability Experiment (EV E), and the Helioseismic and Magnetic Imager (HMI).Articles withinalso describe calibration results and data processing pipelines that are critical to understanding the data and products, concluding with adescription of the successful Education and Public Outreach activities. This book is geared towards anyone interested in using the unprecedented data from SDO, whether for fundamental heliophysics research, space weather modeling andforecasting, or educational purposes. Previously published in Solar Phys ics journal, Vol. 275/1-2, 2012
Note:Springer eBooks
Contents:From the Contents: The Solar Dynamics Observatory
The Atmospheric Imaging Assembly (AIA) on the Solar Dynamics Observatory
Initial Calibration of the Atmospheric Imaging Assembly (AIA) on the Solar Dynamics Observatory
Heliophysics Event Knowledgebase for the Solar Dynamics Observatory and Beyond
Computer Vision for the Solar Dynamics Observatory (SDO)
Extreme Ultraviolet Experiment (EVE) on the Solar Dynamics Observatory (SDO): Overview of Science Objectives, Instrument Design, Data Products and Model Developments
ISBN:9781461436737
Series:e-books
Series:SpringerLink (Online service)
Series:Physics and Astronomy (Springer-11651)
Keywords: Astrophysics , Astronautics
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Call number:SPRINGER-2012-9781461433231:ONLINE Show nearby items on shelf
Title:Astrostatistics and Data Mining [electronic resource]
Author(s): Luis Manuel Sarro
Laurent Eyer
William O'Mullane
Joris De Ridder
Date:2012
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:This volume provides an overview of the field of Astrostatistics understood as the sub-discipline dedicated to the statistical analysis of astronomical data. It presents examples of the application of the various methodologies nowavailable to current open issues in astronomical research. The technical aspects related to the scientific analysis of the upcoming petabyte-scale databases are emphasized given the importance that scalable Knowledge Discoverytechniques will have for the full exploitation of these databases. Based on the 2011 Astrostatistics and Data Mining in Large Astronomical Databases conference and school, this volume gathers examples of the work by leading authors inthe areas of Astrophysics and Statistics, including a significant cont ribution from the various teams that prepared for the processing and analysis of the Gaia data
Note:Springer eBooks
Contents:??? 'Science with Gaia: how will we deal with a complex billion
source catalogue and data archive?' by Anthony Brown (Leiden University,Netherlads)
'Recent Advances in cosmological Bayesian model comparison' by Roberto Trotta (University College London, UK)
'The Art of Data Science' by Matthew Graham (Center for Advanced Computing Research, California Institute of Technology, USA)
'Astronomical Surveys: from SDSS to LSST' by Robert Lupton (Princeton University, USA)
'Exoplanet demography, quasar target selection, and probabilistic redshift estimation: Hierarchical m
ISBN:9781461433231
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Astrostatistics : v2
Series:Mathematics and Statistics (Springer-11649)
Keywords: Astronomy , Statistics , Mathematical statistics
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Call number:SPRINGER-2012-9781461421078:ONLINE Show nearby items on shelf
Title:Data Mining for Biomarker Discovery [electronic resource]
Author(s): Panos M Pardalos
Petros Xanthopoulos
Michalis Zervakis
Date:2012
Publisher:Boston, MA : Springer US
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Data Mining for Biomarker Discovery is designed to motivate collaboration and discussion among various disciplines and will be of interest to students and researchers in engineering, computer science, applied mathematics,medicine, and anyone interest ed in the interdisciplinary application of data mining techniques. Biomarker discovery is an important area of biomedical research that can lead to significant breakthroughs in disease analysis and targetedtherapy. Moreover, the discovery and management o f new biomarkers is a challenging and attractive problem in the emerging field of biomedical informatics. This volume is acollection of state-of-the-artresearch from selectparticipants of the International Conference on Biomedical Data and Knowledge Minin g: Towards Biomarker Discovery, held July 7-9, 2010 in Chania, Greece. Contributions focus on biomarker data integration, information retrievalmethods, and statistical machine learning techniques, all presented with new results, models, and algorithms
Note:Springer eBooks
Contents:Preface
1. Data Mining Strategies Applied in Brain Injury Models (S. Mondello, F. Kobeissy, I. Fingers, Z. Zhang, R.L. Hayes, K.K.W. Wang)
Application of Decomposition Methods in the Filtering of Event Related Potentials (K. Michalopoulos, V. Iordanidou, M. Zervakis)
3. EEG Features as Biomarkers for Discrimination of Pre
ictal states (A. Tsimpiris, D. Kugiumtzis)
4. Using Relative Power Asymmetry as a Biomarker for Classifying Psychogenic Non
epileptic Seizure and Complex Partial Seizure Patients (J.H. Chien, D
S. Shiau, J.C. Sackellares, J.J. Halford, K.M. Kelly, P.M. Pardalos)
ISBN:9781461421078
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Optimization and Its Applications, 1931-6828 : v65
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Biochemical engineering , Medical records Data processing , Data mining
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Call number:SPRINGER-2012-9780817683160:ONLINE Show nearby items on shelf
Title:Shearlets [electronic resource] : Multiscale Analysis for Multivariate Data
Author(s): Gitta Kutyniok
Demetrio Labate
Date:2012
Publisher:Boston : Birkhuser Boston
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Over the last 20 years, multiscale methods and wavelets have revolutionized the field of applied mathematics by providing efficient means for encoding isotropic phenomena. Directional multiscale systems, particularly shearlets,are currently having th e same dramatic impact on the encoding of multivariate signals, which are usually dominated by anisotropic features. Since its introduction about six years ago, the theory of shearlets has rapidly developed andgained wide recognition as the superior appro ach for multiscale analysis of multivariate signals, providing a truly unified treatment of both the continuum and the digital setting. By now, this research field has reached full maturity,with deep mathematical results, efficient numerical methods, and a variety of high-impact applications. Edited by the topic's two main pioneers, this volume systematically surveys the theory and applications of shearlets. Following ageneral survey of the subject, carefully selected contributions explore the current sta te of the field in greater detail. Specific areas covered include: * analysis of anisotropic features * sparse approximations of multivariatedata * shearlet smoothness spaces * numerical implementations * applications toimage processing. Shearlets is aime d at graduate students and researchers in the areas of applied mathematics, computer science, engineering, andany other field dealing with the development and applications of highly efficient methodologies for processing multivariate data. As the first mo nograph in the literature to survey shearlets, this volume offers both a uniquestate-of-the-art resource for scientists dealing with advanced multiscale methods and a supplemental textbook for graduate courses in applied harmonic analysis
Note:Springer eBooks
Contents:Introduction
Shearlets and Microlocal Analysis
Analysis and Identification of Multidimensional Singularities using the Continuous Shearlet Transform
Multivariate Shearlet Transform, Shearlet Coorbit Spaces and their Structural Properties
Shearlets and Optimally Sparse Approximations
Shearlet Multiresolution and Multiple Refinement
Digital Shearlet Transforms
Imaging Applications.
ISBN:9780817683160
Series:e-books
Series:SpringerLink (Online service)
Series:Applied and Numerical Harmonic Analysis
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science , Fourier analysis , Numerical analysis
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Call number:SPRINGER-2012-9780387886190:ONLINE Show nearby items on shelf
Title:Sensors: Theory, Algorithms, and Applications [electronic resource]
Author(s): Vladimir L Boginski
Clayton W Commander
Panos M Pardalos
Yinyu Ye
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 recent years, technological advances have resulted in the rapid development of a new and exciting research direction the interdisciplinary use of sensors for data collection, systems analysis, and monitoring. These highlycalibrated sensors requir e precision engineering techniques that play an important role in analyzing and integrating large datasets. Sensor networks in particular represent a very active area of research, including work on problemssuch as sensor network localization andnetwork de sign. Application areas for sensors and sensor networks include environmental monitoring, military surveillance, computational neuroscience, seismic detection, and a great deal more. The fundamental problems of utilizing the collected data for efficient s ystem operation and decision making encompasses multiple research areas, including applied mathematics, optimization, signal/image processing, as well asemerging areas that require interdisciplinary techniques from several fields of research. Sensors: Th eory, Algorithms, and Applications brings together recent developments from researchers representing various fields fromengineering, mathematics, and computer science, along with application areas of biomedicine, transportation, and military systems. This volume is ideal for scientists, practitioners, and graduate students who are interested in theknowledge, ideas, and techniques involved in state-of-the-art sensor research
Note:Springer eBooks
Contents:Preface
On Enhancing Fault Tolerance of Virtual Backbone in a Wireless Sensor Network with Unidirectional Links (R. Tiwari, M.T. Thai)
Constrained Node Placement and Assignment in Mobile Backbone Networks (E.M. Craparo)
Canonical Dual Solutions to Sum of Fourth
Order Polynomials Minimization Problems with Applications to Sensor Network Localization (D.Y. Gao, N. Ruan, P.M. Pardalos)
Optimal Estimation of Multidimensional Data with Limited Measurements (W. MacKunis, J. W. Curtis, P.E.K. Berg
Yuen)
Informational Patterns in Discrete
Time Linear
Quadratic Dynamic Games (M. Pachter,
ISBN:9780387886190
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Optimization and Its Applications, 1931-6828 : v61
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Algorithms , Mathematical optimization , Electronics , Telecommunication , Systems engineering
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Call number:SPRINGER-2011-9783642194955:ONLINE Show nearby items on shelf
Title:Fundamentals of Scientific Computing [electronic resource]
Author(s): Bertil Gustafsson
Date:2011
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
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Note:The book of nature is written in the language of mathematics -- Galileo Galilei How is it possible to predict weather patterns for tomorrow, with access solely to todays weather data? And how is it possible to predict theaerodynamic behavior of an a ircraft that has yet to be built? The answer is computer simulations based on mathematical models sets of equations that describe the underlying physical properties. However, these equations areusually much too complicated to solve, either by the smarte st mathematician or the largest supercomputer. This problem is overcome by constructing an approximation: a numerical model with a simpler structure can be translated into aprogram that tells the computer how to carry out the simulation. This book conveys the fundamentals of mathematical models, numerical methods and algorithms. Opening with a tutorial on mathematical models and analysis, it proceeds tointroduce the most important classes of numerical methods, with finite element, finite difference and sp ectral methods as central tools. The concluding section describes applications in physics and engineering, including wavepropagation, heat conduction and fluid dynamics. Also covered are the principles of computers and programming, including MATLAB
Note:Springer eBooks
Contents:Part I Models and elementary mathematics
Part II Fundamentals in numerical analysis
Part III Numerical methods for differential equations
Part IV Numerical methods for algebraic equations
Part V Applications
References
Index
ISBN:9783642194955
Series:e-books
Series:SpringerLink (Online service)
Series:Texts in Computational Science and Engineering, 1611-0994 : v8
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer simulation , Biology Data processing , Computer science Mathematics , Computer science , Engineering mathematics
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Call number:SPRINGER-2011-9783642137426:ONLINE Show nearby items on shelf
Title:Optimization and Regularization for Computational Inverse Problems and Applications [electronic resource]
Author(s): Yanfei Wang
Changchun Yang
Anatoly G Yagola
Date:2011
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
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Note:Optimization and Regularization for Computational Inverse Problems and Applications focuses on advances in inversion theory and recent developments with practical applications, particularly emphasizing the combination ofoptimization and regularizatio n for solving inverse problems. This book covers both the methods, including standard regularization theory, Fejer processes for linear and nonlinear problems, the balancing principle, extrapolatedregularization, nonstandard regularization, nonlinear grad ient method, the nonmonotone gradient method, subspace method and Lie group method and the practical applications, such as the reconstruction problem for inverse scattering,molecular spectra data processing, quantitative remote sensing inversion, seismic inversion using the Lie group method, and the gravitational lensing problem. Scientists, researchers and engineers, as well as graduate students engagedin applied mathematics, engineering, geophysics, medical science, image processing, remote sensing and atmospheric science will benefit from this book. Dr. Yanfei Wang is a Professor at the Institute of Geology and Geophysics, ChineseAcademy of Sciences, China. Dr. Sc. Anatoly G. Yagola is a Professor and Assistant Dean of the Physical Faculty, Lomonosov M oscow State University, Russia. Dr. Changchun Yang is a Professor and Vice Director of the Institute of Geologyand Geophysics, Chinese Academy of Sciences, China
Note:Springer eBooks
Contents:Introduction
Regularization Theory and Recent Developments
Nonstandard Regularization and Advanced Optimization Theory and Methods
Numerical Inversion in Geoscience and Quantitative Remote Sensing
ISBN:9783642137426
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Remote sensing , Computer science Mathematics , Engineering mathematics
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Call number:SPRINGER-2011-9780387929200:ONLINE Show nearby items on shelf
Title:Handbook of Mathematical Methods in Imaging [electronic resource]
Author(s): Otmar Scherzer
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:The Handbook of Mathematical Methods in Imaging provides a comprehensive treatment of the mathematical techniques used in imaging science. The material is grouped into two central themes, namely, Inverse Problems (AlgorithmicReconstruction) and Signa l and Image Processing. Each section within the themes covers applications (modeling), mathematics, numerical methods (using a case example) and open questions. Written by experts in the area, the presentationis mathematically rigorous. The entries are cr oss-referenced for easy navigation through connected topics. Available in both print and electronic forms, the handbook is enhanced by more than 150 illustrations and an extendedbibliography. It will benefit students, scientists and researchers in applied mathematics. Engineers and computer scientists working in imaging will also find this handbook useful
Note:Springer eBooks
Contents:Introduction
Part 1: Inverse Problems
Tomography
MR DTI
Hybrid Methods
Nonlinear Inverse Problems
EIT
Scattering
Sampling Methods
Expansion Methods
Regularization Methods for Ill
Posed Problems
Iterative Solution Methods
Wave Phenomena
Seismic
Radar
Ultrasound
Part 2: Signal and Image Processing
Morphological Image Processing
Learning, Classification, Data Mining
Partial Differential Equations
Variational Methods for Image Analysis
Level Set Methods Including Fast Marching Methods
Segmentation
Registration, Optical Flow
Du
ISBN:9780387929200
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Radiology, Medical , Computer vision , Numerical analysis
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Call number:SPRINGER-2010-9789048138074:ONLINE Show nearby items on shelf
Title:Advanced Materials and Technologies for Micro/Nano-Devices, Sensors and Actuators [electronic resource]
Author(s): Evgeni Gusev
Eric Garfunkel
Arthur Dideikin
Date:2010
Publisher:Dordrecht : Springer Netherlands
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The main goal of this book is to review recent progress and current status of MEMS/NEMS technologies and devices. Several important areas are discussed: history of research in the field, device physics, examples of sucessfulapplications, sensors, mat erials and processing aspects. The authors who have contributed to the book represent a diverse group of leading scientists from academic, industrial and governmental labs worldwide who bring a broad array ofbackgrounds such as device physics, technologis ts, electrical and mechanical engineering, surface chemistry and materials science). The contributions to this book are accessible to both expert scientists and engineers who need to keepup with leading edge research, and newcomers to the field who wish t o learn more about the exciting basic and applied research issues relevant to micromechanical devices and technologies
Note:Springer eBooks
Contents:MEMS/NEMS Technologies and Applications
History of Early Research on MEMS in Russia (U.S.S.R.)
Challenges of Complete CMOS/MEMS Systems Integration
MEMS for Practical Applications
Nanochip: A MEMS
Based Ultra
High Data Density Memory Device
Low Cost Silicon Coriolis Gyroscope Paves the Way to Consumer IMU
Microwave and Millimetre Wave Devices Based on Micromachining of III
V Semiconductors
Monocrystalline
Silicon Microwave MEMS Devices
Three
Dimensional Photonic Crystals Based on Opal
Semiconductor and Opal
Metal Nanocomposites
MEMS Device and Reliability Physics
ISBN:9789048138074
Series:e-books
Series:SpringerLink (Online service)
Series:NATO Science for Peace and Security Series B: Physics and Biophysics, 1874-6500
Series:Physics and Astronomy (Springer-11651)
Keywords: Chemistry , Microreactors , Mechanics , Mechanical engineering , Engineering , Microwaves
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Call number:SPRINGER-2010-9783642112997:ONLINE Show nearby items on shelf
Title:Elements of Scientific Computing [electronic resource]
Author(s): Aslak Tveito
Hans Petter Langtangen
Bjrn Frederik Nielsen
Xing Cai
Date:2010
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Science used to be experiments and theory, now it is experiments, theory and computations. The computational approach to understanding nature and technology is currently flowering in many fields such as physics, geophysics,astrophysics, chemistry, bi ology, and most engineering disciplines. This book is a gentle introduction to such computational methods where the techniques are explained through examples. It is our goal to teach principles and ideas thatcarry over from field to field. You will learn basic methods and how to implement them. In order to gain the most from this text, you will need prior knowledge of calculus, basic linear algebra and elementary programming
Note:Springer eBooks
Contents:Computing Integrals
Differential Equations: The First Steps
Systems of Ordinary Differential Equations
Nonlinear Algebraic Equations
The Method of Least Squares
About Scientific Software
The Diffusion Equation
Analysis of the Diffusion Equation
Parameter Estimation and Inverse Problems
A Glimpse ofParallel Computing
Index
ISBN:9783642112997
Series:e-books
Series:SpringerLink (Online service)
Series:Texts in Computational Science and Engineering, 1611-0994 : v7
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Biology Data processing , Computer science Mathematics , Computer science , Engineering
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Call number:SPRINGER-2010-9781849962513:ONLINE Show nearby items on shelf
Title:Mathematica: A Problem-Centered Approach [electronic resource]
Author(s): Roozbeh Hazrat
Date:2010
Publisher:London : Springer London
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Mathematica: A Problem-Centered Approach introduces the vast array of features and powerful mathematical functions of Mathematica using a multitude of clearly presented examples and worked- out problems. Each section startswith a description of a new topic and some basic examples. The author then demonstrates the use of new commands through three categories of problems - the first category highlights those essential parts of the text that demonstrate theuse of new commands in Mathematica whilst solvi ng each problem presented - the second comprises problems that further demonstrate the use of commands previously introduced to tackle different situations and - the third presents morechallenging problems for further study. The intention is to enable the reader to learn from the codes, thus avoiding long and exhausting explanations. While based on a computer algebra course taught to undergraduate students ofmathematics, science, engineering and finance, the book also includes chapters on calculus and sol ving equations, and graphics, thus covering all the basic topics in Mathematica. With its strong focus upon programming and problemsolving, and an emphasis on using numerical problems that do not need any particular background in mathematics, this book is also ideal for self-study and as an introduction to researchers who wish to use Mathematica as a computationaltool. Mathematica: A Problem-Centered Approach comes with a free 30 day trial of the Wolfram Mathematica(R) software
Note:Springer eBooks
Contents:1. Introduction
1.1 Mathematica as a calculator
1.2 Numbers
1.3 Algebraic computations
1.4 Trigonometric computations
1.5 Variables
1.6 Equalities =, :=, ==
1.7 Dynamic variables
2. Defining functions
2.1 Formulas as functions
2.2 Anonymous functions
3. Lists
3.1 Functions producing lists
3.2 Listable functions
3.3 Selecting from a list
4. Changing heads!
5. A bit of logic and set theory
5.1 Being logical
5.2 Handling sets
5.3 Decision making, If and Which
6. Sums and products
6.1 Sum
6.2 Product
7. Loops and repetitions
7
ISBN:9781849962513
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Undergraduate Mathematics Series, 1615-2085 : v53
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science , Algebra Data processing , Computer software
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Call number:SPRINGER-2010-9781441955272:ONLINE Show nearby items on shelf
Title:Modeling and Simulation in Scilab/Scicos with ScicosLab 4.4 [electronic resource]
Author(s): Stephen L Campbell
Jean-Philippe Chancelier
Ramine Nikoukhah
Date:2010
Publisher:New York, NY : Springer New York
Size:1 online resource
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Note:Springer 2013 e-book collections
Note:ScicosLab is a free open-source software package for scientific computation. It includes a Scilab interpreter and hundreds of general purpose and specialized functions for numerical computation, organized in libraries calledtoolboxes, which cover suc h areas as simulation, optimization, systems and control, and signal processing. One important ScicosLab toolbox is Scicos. Scicos provides a block diagram graphical editor for the construction and simulationof dynamical systems. The objective of this boo k is to provide a tutorial for the use of Scilab/Scicos with a special emphasis on modeling and simulation tools. The book is based on the new ScicosLab 4.4. While the book will provideuseful information to experienced users it is designed to be accessibl e to beginning users from a variety of disciplines. Students and academic and industrial scientists and engineers should find it useful. The book is divided into twoparts. The first part concerns Scilab and includes a tutorial covering the language featur es, the data structures and specialized functions for doing graphics, importing, exporting data and interfacing external routines. It also coversin detail the numerical solvers for ordinary differential equations and differential-algebraic equations avail able in ScicosLab. Even though the emphasis is placed on modeling and simulation applications, this part provides a globalview of the Scilab language. The second part is dedicated to modeling and simulation of dynamical systems in Scicos. This type of mod eling tool is widely used in industry because it provides a means for constructing modular andreusable models. This part contains a detailed description of the editor and its usage, which is illustrated through numerous examples. All codes used in the boo k are made available to the reader. This book is an updated and expandedversion of an earlier edition based on Scilab 3.1. Stephen L. Campbell is a professor of mathematics and director of graduate prog
Note:Springer eBooks
Contents:Part I: General Information
Introduction to Scilab
Modeling and Simulation in Scilab
Optimization
Examples
Part II: Introduction
Getting started
Scicos formalism
Scicos Blocks
Examples and Applications
Batch processing in Scilab
Code generation
Debugging
Implicit Scicos and Modelica
A Inside Scicos
B Coding Examples
References
Index
ISBN:9781441955272
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer simulation , Differentiable dynamical systems , Computer science Mathematics , Control engineering systems
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Call number:SPRINGER-2010-9781441917485:ONLINE Show nearby items on shelf
Title:Algorithms and Programming [electronic resource] : Problems and Solutions
Author(s): Alexander Shen
Date:2010
Edition:2
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:Algorithms and Programming is primarily intended for a first year undergraduate course in programming. Structured in a problem-solution format, the text motivates the student to think through the programming process, thusdeveloping a firm understandi ng of the underlying theory. Although a moderate familiarity with programming is assumed, the book is easily utilized by students new to computer science. The more advanced chapters make the book useful fora graduate course in the analysis of algorithms a nd/or compiler construction. New to the second edition are added chapters on suffix trees, games and strategies, and Huffman coding as well as an appendix illustrating the ease ofconversion from Pascal to C. The material covers such topics as combinatoric s, sorting, searching, queues, grammar and parsing, selected well-known algorithms, and much more. Reviews of the 1st Edition: The book is addressed both toambitious students and instructors looking for interesting problems [and] fulfills this task perfec tly, especially if the reader has a good mathematical background. Zentralblatt MATH This book is intended for students,engineers, and other people who want to improve their computer skills.... The chapters can be read independently. Throughout the book, useful exercises give readers a feeling for how to apply the theory. Computing ReviewsOverall...the book is well done. I recommend it to teachers and those wishing to sharpen their data structure and compiler skills. SIGACT News
Note:Springer eBooks
Contents:Variables, expressions, assignments
Generation of combinatorial objects
Tree traversal (backtracking)
Sorting
Finite
state algorithms in text processing
Data types
Recursion
Recursive and non
recursive programs
Graph algorithms
Pattern matching
Games analysis
Optimal coding
Set representation. Hashing
Sets, trees, and balanced trees
Context
free grammars
Left
to
right parsing (LR)
ISBN:9781441917485
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Undergraduate Texts in Mathematics and Technology, 1867-5506
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science , Computer software , Computer science Mathematics , Algorithms
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Call number:SPRINGER-2010-9781441914569:ONLINE Show nearby items on shelf
Title:Evaluating Measurement Accuracy [electronic resource] : A Practical Approach
Author(s): Semyon G Rabinovich
Date:2010
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The goal of Evaluating Measurement Accuracy: A Practical Approach is to present methods for estimating the accuracy of measurements performed in industry, trade, and scientific research. Although multiple measurements are thefocus of current theory, single measurements are the ones most commonly used. This book answers fundamental questions not addressed by present theory, such as how to discover the complete uncertainty of a measurement result. Indeveloping a general theory of processing experimenta l data, this book, for the first time, presents the postulates of the theory of measurements. It introduces several new terms and definitions about the relationship between theaccuracy of measuring instruments and measurements utilizing these instruments. It also offers well-grounded and practical methods for combining the components of measurement inaccuracy. From developing the theory of indirectmeasurements to proposing new methods of reduction in place of the traditional ones, this work encompasses th e full range of measurement data processing. It includes many solid examples that exemplify typical problems encountered inmeasurement practice, from general theory to practical applications. As a result, Evaluating Measurement Accuracy serves as an inclu sive reference work for data processing of all types of measurements: single and multiple, dependentand independent indirect, combined, and simultaneous. It is intended as a working tool for experimental scientists and engineers of all disciplines who wor k with instrumentation. It is also a good tool for undergraduate and graduatenatural science and engineering students and for technicians performing complex measurements in industry
Note:Springer eBooks
Contents:General Concepts in the Theory of Measurements
Measuring Instruments and Their Properties
Statistical Methods for Experimental Data Processing
Direct Measurements
Indirect Measurements
Combined and Simultaneous Measurements
Combining the Results of Measurements
Examples of Measurements and Measurement Data Processing
Conclusion
Erratum
ISBN:9781441914569
Series:e-books
Series:SpringerLink (Online service)
Series:Physics and Astronomy (Springer-11651)
Keywords: System safety , Surfaces (Physics)
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Call number:SPRINGER-2010-9780817649531:ONLINE Show nearby items on shelf
Title:Notes on Introductory Combinatorics [electronic resource]
Author(s): George Plya
Robert E Tarjan
Donald R Woods
Date:2010
Edition:1st
Publisher:Boston : Birkhuser Boston
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Developed from the authors introductory combinatorics course, this book focuses on a branch of mathematics which plays a crucial role in computer science. Combinatorial methods provide many analytical tools used fordetermining the expected performanc e of computer algorithms. Elementary subjects such as combinations and permutations, and mathematical tools such as generating functions and Plyas Theory of Counting, are covered, as are analysesof specific problems such as Ramsey Theory, matchings, and H amiltonian and Eulerian paths. This introduction will provide students with a solid foundation in the subject. ---- This is a delightful little paperback which presents aday-by-day transcription of a course taught jointly by Plya and Tarjan at Stanford Un iversity. Woods, the teaching assistant for the class, did a very good job of merging class notes into an interesting mini-textbook he alsoincluded the exercises, homework, and tests assigned in the class (a very helpful addition for other instructors in the field). The notes are very well illustrated throughout and Woods and the Birkhuser publishers produced a verypleasant text. One can count on [Plya and Tarjan] for new insights and a fresh outlook. Both instructors taught by presenting a succession of examples rather than by presenting a body of theory[The book] is very well suited assupplementary material for any introductory class on combinatorics as such, it is very highly recommended. Finally, for all of us who like the topic and delight in observi ng skilled professionals at work, this book is entertainingand, yes, instructive, reading. Mathematical Reviews (Review of the original hardcover edition) The mathematical community welcomes this book as a final contribution to honour the teacher G. Plya. Zentralblatt MATH(Review of the original hardcover edition)
Note:Springer eBooks
Contents:Introduction
Combinations and Permutations
Generating Functions
Principle of Inclusion and Exclusion
Stirling Numbers
Plya's Theory of Counting
Outlook
Midterm Examination
Ramsey Theory
Matchings (Stable Marriages)
Matchings (Maximum Matchings)
Network Flow
Hamiltonian and Eulerian Paths
Planarity and the Four
Color Theorem
Final Examination
Bibliography
ISBN:9780817649531
Series:e-books
Series:SpringerLink (Online service)
Series:Modern Birkhuser Classics
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer software , Electronic data processing , Computer science Mathematics , Algorithms , Combinatorics
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Call number:SPRINGER-2010-9780817648800:ONLINE Show nearby items on shelf
Title:Mathematics for Multimedia [electronic resource]
Author(s): Mladen Victor Wickerhauser
Date:2010
Edition:1
Publisher:Boston : Birkhuser Boston
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This concise textbook presents the mathematics that is foundational to multimedia applications. Featuring a rigorous survey of selected results from algebra and analysis, the work examines tools used to create applicationsoftware for multimedia signa l processing and communication. Key features include: * Over 100 exercises with complete solutions * Useful algorithms presented in pseudocode and Standard C to help readers with programming,experimentation, and the solution of exercises * Numerous illust rations based on data from real studies * Suggestions for further reading at the end of each chapter * A companion websitemaintained by the authorprovidingcomputer programs described in the book as well as additional references and data files, such as ima ges and sounds, to enhance the readers understanding of key topics * A supplementary manualcontaining several hundred exercises,solutions, and sample programs not included in the bookavailable to instructors upon request * Minimal prerequisitesonly an und ergraduate-level knowledge of mathematics, not including statistics, is required. Mathematics forMultimedia is an ideal textbook for upper undergraduate and beginning graduate students in pure and applied mathematics, engineering, and computer science see king an innovative approach to contemporary mathematics with practicalapplications. The work may also serve as a useful reference for multimedia applications developers and other researchers and practitioners interested in the mathematics underlying multi media software design and implementation
Note:Springer eBooks
Contents:ANHA Series Preface
Preface
Numbers and Arithmetic
Space and Linearity
Time and Frequency
Sampling and Estimation
Scale and Resolution
Redundancy and Information
Answers
Basics, Technicalities, and Digressions
Index
ISBN:9780817648800
Series:e-books
Series:SpringerLink (Online service)
Series:Applied and Numerical Harmonic Analysis
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Multimedia systems , Fourier analysis , Algorithms , Computer software
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Call number:SPRINGER-2010-9780387886305:ONLINE Show nearby items on shelf
Title:Computational Neuroscience [electronic resource]
Author(s): Wanpracha Chaovalitwongse
Panos M Pardalos
Petros Xanthopoulos
Date:2010
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 human brain is among the most complex systems known to mankind. Neuroscientists seek to understand brain function through detailed analysis of neuronal excitability and synaptic transmission. Only in the last few years has itbecome feasible to ca pture simultaneous responses from a large enough number of neurons to empirically test the theories of human brain function computationally. This book is comprised of state-of-the-art experiments and computationaltechniques that provide new insights and i mprove our understanding of the human brain. This volume includes contributions from diverse disciplines including electrical engineering, biomedical engineering, industrial engineering, andmedicine, bridging a vital gap between the mathematical sciences and neuroscience research. Covering a wide range of research topics, this volume demonstrates how various methods from data mining, signal processing, optimization andcutting-edge medical techniques can be used to tackle the most challenging problems in m odern neuroscience. The results presented in this book are of great interest and value to scientists, graduate students, researchers and medicalpractitioners interested in the most recent developments in computational neuroscience
Note:Springer eBooks
ISBN:9780387886305
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Optimization and Its Applications, 1931-6828 : v38
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Neurosciences , Computer science Mathematics , Biomedical engineering
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Call number:SPRINGER-2010-9780387789774:ONLINE Show nearby items on shelf
Title:OptimizationTheory and Practice [electronic resource]
Author(s): Wilhelm Forst
Dieter Hoffmann
Date:2010
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Springer eBooks
ISBN:9780387789774
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Undergraduate Texts in Mathematics and Technology, 1867-5506
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Algebra Data processing , Algebra , Computer science Mathematics , Computer science , Mathematical optimization
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
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