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Approximation of Large-Scale Dynamical Systems

, in the presence of limited computational accuracy and storage capabilities model reduction (system approximation) is often necessary;

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Computational Methods for Approximation of Large-Scale Dynamical Systems

through model order reduction (MOR) techniques. Computational Methods for Approximation of Large-Scale Dynamical Systems discusses computational;

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Stability and Control of Large-Scale Dynamical Systems

just a few. This book develops a general stability analysis and control design framework for nonlinear large-scale interconnected dynamical;

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Cambridge Monographs on Applied and Computational Mathematics

solutions and strange attractors under numerical approximation. This book will be an invaluable tool for graduate students and researchers in the;

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Large-Scale Inverse Problems and Quantification of Uncertainty

This book focuses on computational methods for large-scale statistical inverse problems and provides an introduction to statistical;

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Interpolatory Methods for Model Reduction

Dynamical systems are a principal tool in the modeling, prediction, and control of a wide range of complex phenomena. As the need for;

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Dynamical Systems and Numerical Analysis

solutions and strange attractors under numerical approximation. This book will be an invaluable tool for graduate students and researchers in the;

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Paradigms of the Large-Scale Universe

Dynamical systems provide powerful methods for the study of profound properties of many-dimensional nonlinear systems. In this unique book;

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Numerical Analysis with Algorithms and Programming

standard algorithms for numerical computation: Root finding for nonlinear equations Interpolation and approximation of functions;

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Model Reduction of Complex Dynamical Systems

This contributed volume presents some of the latest research related to model order reduction of complex dynamical systems with a focus on;

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Computational Methods for Nonlinear Dynamical Systems

Computational Methods for Nonlinear Dynamical Systems: Theory and Applications in Aerospace Engineering proposes novel ideas and;

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Large-Scale Scientific Computing

from 64 submissions. The general theme for LSSC 2015 was Large-Scale Scientific Computing with a particular focus on the organized special;

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Hierarchical Matrices

perform matrix operations approximately with almost linear cost and a controllable degree of approximation error. For important classes;

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Large-Scale Scientific Computing

invited talks. The papers were organized in topical sections named as follows: control and optimization of dynamical systems; meshfree and;

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Foundations of Computational Intelligence

Foundations of Computational Intelligence Volume 1: Learning and Approximation: Theoretical Foundations and Applications Learning methods;

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Foundations of Computational Intelligence 01

Foundations of Computational Intelligence Volume 1: Learning and Approximation: Theoretical Foundations and Applications Learning methods;

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Computational Methods for Modeling of Nonlinear Systems by Anatoli Torokhti and Phil Howlett

estimation; methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation;

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Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXVIII

, computational methods for entity resolution, array-based computations in big data analysis, and pattern mining.;

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Radiation Hydrodynamics

hydrodynamics. Chapters cover all the central topics, including: a review of the fundamentals of gas dynamics; methods for computational fluid dynamics;

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Geography of China

This work elaborates a picture of the application of dynamical methods to the study of cognition. It argues that both computational systems;

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Data-Driven Computational Methods

leverage data for modeling dynamical systems. The first is concerned with data fitting algorithms to estimate parameters in parametric models that;

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Modeling and Analysis of Bio molecular Networks

by high-throughput sequencing. This book is a valuable resource for readers interested in applying systems biology, dynamical systems;

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Modeling and Analysis of Bio molecular Networks

by high-throughput sequencing. This book is a valuable resource for readers interested in applying systems biology, dynamical systems;

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Computational Methods for Data Evaluation and Assimilation

mainly concerning frequencies and sample tallies to inductive inference for assimilating non-frequency data and a priori knowledge. Computational;

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Computational Methods for Data Evaluation and Assimilation

mainly concerning frequencies and sample tallies to inductive inference for assimilating non-frequency data and a priori knowledge. Computational;

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Cambridge Nonlinear Science Series

, and to transport by deterministic diffusion in particular. The author presents the basic tools of dynamical systems theory, such as dynamical;

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Cambridge Nonlinear Science Series

, and to transport by deterministic diffusion in particular. The author presents the basic tools of dynamical systems theory, such as dynamical;

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