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Encyclopedia of Applied and Computational Mathematics / edited by Björn Engquist.

Springer Nature - Springer Mathematics and Statistics eBooks 2015 English International Available online

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Format:
Book
Contributor:
Engquist, Björn., Editor.
Series:
Springer reference.
Springer reference
Language:
English
Subjects (All):
Mathematics--Data processing.
Mathematics.
Computer science--Mathematics.
Computer science.
Mathematical physics.
Engineering mathematics.
Engineering--Data processing.
Engineering.
Computational Mathematics and Numerical Analysis.
Applications of Mathematics.
Mathematics of Computing.
Theory of Computation.
Theoretical, Mathematical and Computational Physics.
Mathematical and Computational Engineering Applications.
Local Subjects:
Computational Mathematics and Numerical Analysis.
Applications of Mathematics.
Mathematics of Computing.
Theory of Computation.
Theoretical, Mathematical and Computational Physics.
Mathematical and Computational Engineering Applications.
Physical Description:
1 online resource (361 illus., 208 illus. in color. eReference.)
Edition:
1st ed. 2015.
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
Language Note:
English
Summary:
EACM is a comprehensive reference work covering the vast field of applied and computational mathematics. Applied mathematics itself accounts for at least 60 per cent of mathematics, and the emphasis on computation reflects the current and constantly growing importance of computational methods in all areas of applications. EACM emphasizes the strong links of applied mathematics with major areas of science, such as physics, chemistry, biology, and computer science, as well as specific fields like atmospheric ocean science. In addition, the mathematical input to modern engineering and technology form another core component of EACM.
Contents:
Intro
Preface
About the Editor
Section Editors
Contributors
A
A Posteriori Error Estimates of Quantities of Interest
Synonyms
Short Description
Description
Model Problem, Quantities of Interest, and Adjoint Problem
Goal-Oriented Error Estimation
Adaptive Strategies
Extension to Nonlinear Problems
Concluding Remarks
References
A Priori and A Posteriori Error Analysis in Chemistry
Definition
Overview
Error on the Model
Error on the Discretization
Error on the Algorithm
Conclusion
Absorbing Boundaries and Layers
Summary
Absorbing Boundaries
Absorbing Layers
Other Issues and Applications
Actin Cytoskeleton, Multi-scale Modeling
Introduction
Single Filament Dynamics
Bulk Filaments in Solution
Models of Force Generation and Membrane Protrusion
Integration of Signaling, Network Dynamics, and Force Generation
Adaptive Mesh Refinement
Short Definition
Basic Principles of Adaptive Refinement
Some Refinement Strategies
Cross-References
ADI Methods
Mathematics Subject Classification
Accuracy and Stability
Closely Related Issues
Adjoint Methods as Applied to Inverse Problems
Wave Equation Imaging
Optical and Impedance Tomography
Advancing Front Methods
Basic Algorithm
Advancing Layers Method
Agent-Based Models in Infectious Disease and Immunology
Acronyms
ABMs as Natural Descriptions of the Immune Response and Infectious Diseases.
The Main Agents of the Immune Response
ABM Representation of the Immune Response and Infectious Diseases
Example: Influenza Infection Within a Host
Platforms for the Implementation of ABMs of Immunology and Infectious Diseases
Algorithms for Low Frequency Climate Response
Definition Terms/Glossary
Deterministic Dynamics, Fluctuation-Response relation
Chaotic Dissipative Dynamics, Short-Time FDR
Chaotic Dissipative Dynamics, Axiom A Response Formula
Chaotic Dissipative Dynamics, Shadowing
Chaotic Dissipative Dynamics, UPO Expansion
Stochastic Dynamics, Fluctuation-Response Relation
Analysis and Computation of Hyperbolic PDEs with Random Data
Problem Statement
Nonintrusive Numerical Methods
Stochastic Regularity and Convergence of Stochastic Collocation
Examples: General Stochastic Regularity Properties
General Results: Stochastic Regularity
Convergence Results for Stochastic Collocation
Angiogenesis, Computational Modeling Perspective
Abstract
Angiogenesis Modeling Methodology
Network-Level Modeling
Molecular-Level Modeling: Reaction Diffusion Modeling
Intracellular signaling models
Cell-Based Modeling
Agent-based programming
Cellular automata
Potts model
Bioinformatics
Multiscale Modeling
Conclusions and Therapeutic Applications
Angiogenesis, Mathematical Modeling Perspective
Angiogenesis Modeling
Movement of ECs
Blood Flow and Vascular Remodeling
Application to Vascular Tumor Growth
Future Directions for Angiogenesis Modeling
Applications to Real Size Biological Systems
MD Simulations of Biological Systems: A Computational Challenge.
Brute-Force Molecular Dynamics to Address Biological Complexity
Preferential Sampling and the Simulation of Slow Processes
A Turning Point in Structural Biology
Applied Control Theory for Biological Processes
Model Predictive Control
Adaptive Model Predictive Control
Sensitivity and Identifiability Analyses
Brief Literature Survey of Cellular Process Model Predictive Control
Illustration of Adaptive Nonlinear Model Predictive Control with Selective Parameter Identification
Approximation of Manifold-Valued Functions
Historical Remark
Adaptation Methods
Atomistic to Continuum Coupling
Atomistic Models
Continuum Models
Accuracy of the Cauchy-Born Approximation
Crystal Defects and Motivation for A/C Methods
Energy-Based Methods
The Energy-Based Quasicontinuum Method
Accuracy of QCE
The Blended Quasicontinuum Energy
Accuracy of the BQCE Method
Energy-Based Ghost-Force Removal
Accuracy of Consistent a/c Methods
Force-Based Methods
Force-Based a/c Coupling
Accuracy of the Force-Based a/c Method
Iterative Solution of Force-Based a/c Coupling
Extensions
Overlapping Methods and Weak Coupling
Multilattices
Quantum Mechanics
Finite-Temperature Equilibrium and Dynamics
B
Backward Differentiation Formulae
Review of Stiffness
Stability Concepts for Multistep Methods
Modified Extended Backward Differentiation Formulae
Application to DAEs
Codes
Bayesian Statistics: Computation.
Mathematics Subject Classification
Prehistory
Latent Variable Methods in Likelihood Inference: The EM Algorithm
Bayesian Computation in the 1980s
Formulation of the Gibbs Sampler
Introduction of Latent Variables and Collective Moves
Belousov-Zhabotinsky Reaction
What is the Belousov-Zhabotinsky Reaction?
How to Experiment with the Light Sensitive BZ Reaction
Qualitative Modelling
Two-Variable Oregonator
Very Fast Prototyping: Cellular Automata
Bézier Curves and Surfaces
Curves
Tensor-Product Surfaces
Triangular Surfaces
Bidomain Model: Analytical Properties
Bidomain Model: Applications
Extracellularly Applied Electric Fields and Tissue Polarization
Pacing
Shock-Induced Arrhythmogenesis and Defibrillation
Bath Loading Effects and the Forward Problem of Electrocardiography
Bidomain Model: Computation
Computational Methods
Discretization in Space and Time
Spatial Discretization
Time Discretization
Solving Linear Systems
Adaptive Methods
Parallel Solvers
Key Research Findings
Bifurcations: Computation
Computation of Branches
Bifurcation Test Functions
Computation of Bifurcation Points
Branch Switching
Biofilm Structure and Function, Modeling
Biofilms
Mass Balances
Material Transport
Active and Reactive Layers
Bootstrapping
References and Recommended Reading
Born-Oppenheimer Approximation, Adiabatic Limit, and Related Math. Issues.
Introduction
The Quantum Mechanical Adiabatic Approximation
The Traditional Quantum Adiabatic Theorem
Geometric Phases
Higher Order Approximations
Further Generalizations with a Gap
Adiabatic Theorems Without a Gap
Adiabatic Theorems with Level Crossings
Adiabatic Theorems with Avoided Crossings
Time-Dependent Born-Oppenheimer Approximations
Boundary Control Method
Inverse Problem
BCm Devices
Solving Inverse Problem
Boundary Element Methods
Boundary Integral Equation for Potential Problems
The Boundary Element Method
Boundary Element Formulations for General Problems
Boundary Value Methods: GAMD, TOM
Discrete Problem and Block BVMs
The Codes GAM and GAMD
The Code TOM
Boussinesq Equations
B-Series
Order Conditions of Runge-Kutta Methods and B-Series
Composition of B-Series
Changes of Variables and Preservation of First Integrals
Modified Equations for B-Series Methods
Preservation of Geometric Properties of B-Series Methods
Burgers Equation
Origin and Motivating Application
Behavior of Solutions
Inviscid Case
Viscous Case
Vanishing Viscosity Limit
C
Calcium Dynamics
Ubiquitous Calcium
Calcium Transport
Mathematical Description
Calculation of Ensemble Averages
Mathematical Subject Classification
Description.
Computation of Macroscopic Properties.
Notes:
Bibliographic Level Mode of Issuance: Monograph
Includes bibliographical references.
ISBN:
3-540-70529-5
OCLC:
932170536

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