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Approximation of Large-Scale Dynamical Systems

. Approximation of Large-Scale Dynamical Systems provides a comprehensive picture of model reduction, combining system theory with numerical linear;

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Stability and Control of Large-Scale Dynamical Systems

Modern complex large-scale dynamical systems exist in virtually every aspect of science and engineering, and are associated with a wide;

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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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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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Dynamical Systems and Numerical Analysis

This 1996 book unites the study of dynamical systems and numerical solution of differential equations. The first three chapters contain the;

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

learning, stochastic approximation, multi-agent systems, ontology, model-driven development, organisational modelling, digital government, new;

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Dynamical Invariants, Adiabatic Approximation & the Geometric Phase

Dynamical Invariants, Adiabatic Approximation & the Geometric Phase;

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Cambridge Monographs on Applied and Computational Mathematics

This 1996 book unites the study of dynamical systems and numerical solution of differential equations. The first three chapters contain the;

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Model-Based Control

optimization of dynamical systems, with particular attention to the application domains of motion control systems (high-accuracy positioning systems;

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Stability Domains

of the theory of dynamical systems, it includes recent developments in the classical Lyapunov stability concept, practical stabiliy properties;

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Modelling and Identification with Rational Orthogonal Basis Functions

Models of dynamical systems are of great importance in almost all fields of science and engineering and specifically in control, signal;

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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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Hierarchical Matrices

systems but also the approximation of matrix functions, e.g., the matrix exponential. Other applications include the solution of matrix equations;

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Frequency-domain Approach To Hopf Bifurcation Analysis

several types of standard bifurcation conditions for general continuous-time nonlinear dynamical systems. A very rich pictorial gallery of local;

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Hybrid Dynamical Systems

Hybrid dynamical systems exhibit continuous and instantaneous changes, having features of continuous-time and discrete-time dynamical;

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Modeling and Analysis of Bio molecular Networks

. It first provides an overview of approaches to reconstruct various bio-molecular networks, and then discusses the modeling and dynamical;

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Modeling and Analysis of Bio molecular Networks

. It first provides an overview of approaches to reconstruct various bio-molecular networks, and then discusses the modeling and dynamical;

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Intelligent Algorithms for Analysis and Control of Dynamical Systems

control of dynamical systems. Both single-input-single-output (SISO) and multi-input-multi-output (MIMO) systems are explored for analysis and;

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Infinite-dimensional Dynamical Systems In Atmospheric And Oceanic Science

The book provides some recent works in the study of some infinite-dimensional dynamical systems in atmospheric and oceanic science. It;

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Dynamical Processes on Complex Networks

connectivity patterns on dynamical phenomena. This book presents a comprehensive account of these effects. A vast number of systems, from the brain to;

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Dynamical Processes on Complex Networks

connectivity patterns on dynamical phenomena. This book presents a comprehensive account of these effects. A vast number of systems, from the brain to;

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Dynamical Systems

Complex systems are pervasive in many areas of science integrated in our daily lives. Examples;...

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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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Macroscopic and Large Scale Phenomena Coarse Graining Mean Field Limits and Er

and Evgeny Verbitskiy conclude this volume, taking a dynamical systems and ergodic theory viewpoint. They review recent developments in the;

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Polygonal Approximation and Scale-Space Analysis of Closed Digital Curves

approximation and its real life applications. The book not only explains the theoretical aspects but also presents applications with detailed design;

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Polygonal Approximation and Scale-Space Analysis of Closed Digital Curves

approximation and its real life applications. The book not only explains the theoretical aspects but also presents applications with detailed design;

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IUTAM Symposium on Model Order Reduction of Coupled Systems Stuttgart Germany

order models such that the large-scale dynamical system is approximated with a system of much smaller dimension where the most dominant features;

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