Lecture Notes in Computational Science and Engineering - Coping with Complexity: Model Reduction and Data Analysis
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Published By Springer Berlin Heidelberg

9783642149405, 9783642149412

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Coarse Collective Dynamics of Animal Groups

Lecture Notes in Computational Science and Engineering - Coping with Complexity: Model Reduction and Data Analysis ◽

10.1007/978-3-642-14941-2_16 ◽

2010 ◽

pp. 299-309 ◽

Cited By ~ 4

Author(s):

Thomas A. Frewen ◽

Iain D. Couzin ◽

Allison Kolpas ◽

Jeff Moehlis ◽

Ronald Coifman ◽

...

Keyword(s):

Animal Groups ◽

Collective Dynamics

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Scaling Invariant Interpolation for Singularly Perturbed Vector Fields (SPVF)

Lecture Notes in Computational Science and Engineering - Coping with Complexity: Model Reduction and Data Analysis ◽

10.1007/978-3-642-14941-2_5 ◽

2010 ◽

pp. 91-111 ◽

Cited By ~ 2

Author(s):

Viatcheslav Bykov ◽

Vladimir Gol’dshtein ◽

Ulrich Maas

Keyword(s):

Vector Fields ◽

Singularly Perturbed ◽

Scaling Invariant

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Computing Realizations of Reaction Kinetic Networks with Given Properties

Lecture Notes in Computational Science and Engineering - Coping with Complexity: Model Reduction and Data Analysis ◽

10.1007/978-3-642-14941-2_13 ◽

2010 ◽

pp. 253-267

Author(s):

Gábor Szederkényi ◽

Katalin M. Hangos ◽

Dávid Csercsik

Keyword(s):

Reaction Kinetic

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Think Globally, Move Locally: Coarse Graining of Effective Free Energy Surfaces

Lecture Notes in Computational Science and Engineering - Coping with Complexity: Model Reduction and Data Analysis ◽

10.1007/978-3-642-14941-2_6 ◽

2010 ◽

pp. 113-131 ◽

Cited By ~ 5

Author(s):

Payel Das ◽

Thomas A. Frewen ◽

Ioannis G. Kevrekidis ◽

Cecilia Clementi

Keyword(s):

Free Energy ◽

Coarse Graining ◽

Energy Surfaces

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Universal Algorithms, Mathematics of Semirings and Parallel Computations

Lecture Notes in Computational Science and Engineering - Coping with Complexity: Model Reduction and Data Analysis ◽

10.1007/978-3-642-14941-2_4 ◽

2010 ◽

pp. 63-89 ◽

Cited By ~ 1

Author(s):

Grigory L. Litvinov ◽

Victor P. Maslov ◽

Anatoly Ya. Rodionov ◽

Andrei N. Sobolevski

Keyword(s):

Parallel Computations

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Extracting Functional Dependence from Sparse Data Using Dimensionality Reduction: Application to Potential Energy Surface Construction

Lecture Notes in Computational Science and Engineering - Coping with Complexity: Model Reduction and Data Analysis ◽

10.1007/978-3-642-14941-2_7 ◽

2010 ◽

pp. 133-149 ◽

Cited By ~ 2

Author(s):

Sergei Manzhos ◽

Koichi Yamashita ◽

Tucker Carrington

Keyword(s):

Potential Energy ◽

Dimensionality Reduction ◽

Potential Energy Surface ◽

Energy Surface ◽

Functional Dependence ◽

Sparse Data ◽

Surface Construction

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The Use of Global Sensitivity Methods for the Analysis, Evaluation and Improvement of Complex Modelling Systems

Lecture Notes in Computational Science and Engineering - Coping with Complexity: Model Reduction and Data Analysis ◽

10.1007/978-3-642-14941-2_2 ◽

2010 ◽

pp. 9-36 ◽

Cited By ~ 8

Author(s):

Alison S. Tomlin ◽

Tilo Ziehn

Keyword(s):

Global Sensitivity

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Self-Simplification in Darwin’s Systems

Lecture Notes in Computational Science and Engineering - Coping with Complexity: Model Reduction and Data Analysis ◽

10.1007/978-3-642-14941-2_17 ◽

2010 ◽

pp. 311-344 ◽

Cited By ~ 1

Author(s):

Alexander N. Gorban

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Time Step Expansions and the Invariant Manifold Approach to Lattice Boltzmann Models

Lecture Notes in Computational Science and Engineering - Coping with Complexity: Model Reduction and Data Analysis ◽

10.1007/978-3-642-14941-2_9 ◽

2010 ◽

pp. 169-205

Author(s):

David J. Packwood ◽

Jeremy Levesley ◽

Alexander N. Gorban

Keyword(s):

Invariant Manifold ◽

Lattice Boltzmann ◽

Time Step ◽

Lattice Boltzmann Models

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Optimisation and Linear Control of Large Scale Nonlinear Systems: A Review and a Suite of Model Reduction-Based Techniques

Lecture Notes in Computational Science and Engineering - Coping with Complexity: Model Reduction and Data Analysis ◽

10.1007/978-3-642-14941-2_3 ◽

2010 ◽

pp. 37-61 ◽

Cited By ~ 6

Author(s):

Constantinos Theodoropoulos

Keyword(s):

Nonlinear Systems ◽

Model Reduction ◽

Large Scale ◽

Linear Control

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Lecture Notes in Computational Science and Engineering - Coping with Complexity: Model Reduction and Data AnalysisLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Coarse Collective Dynamics of Animal Groups

Scaling Invariant Interpolation for Singularly Perturbed Vector Fields (SPVF)

Computing Realizations of Reaction Kinetic Networks with Given Properties

Think Globally, Move Locally: Coarse Graining of Effective Free Energy Surfaces

Universal Algorithms, Mathematics of Semirings and Parallel Computations

Extracting Functional Dependence from Sparse Data Using Dimensionality Reduction: Application to Potential Energy Surface Construction

The Use of Global Sensitivity Methods for the Analysis, Evaluation and Improvement of Complex Modelling Systems

Self-Simplification in Darwin’s Systems

Time Step Expansions and the Invariant Manifold Approach to Lattice Boltzmann Models

Optimisation and Linear Control of Large Scale Nonlinear Systems: A Review and a Suite of Model Reduction-Based Techniques

Lecture Notes in Computational Science and Engineering - Coping with Complexity: Model Reduction and Data Analysis
Latest Publications