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Computational Theory of Iterative Methods

complementing the theory.- Latest convergence results for the iterative methods - Iterative methods with the least computational cost;

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Applied Iterative Methods

applicable to partitioning the linear system into a “red/black” block form, adaptive computational algorithms for the successive overrelaxation (SOR;

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Iterative Methods and Their Dynamics with Applications

for researchers in computational sciences and as a reference book for advanced computational method in nonlinear analysis, this book is a;

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Iterative Methods and Their Dynamics with Applications

for researchers in computational sciences and as a reference book for advanced computational method in nonlinear analysis, this book is a;

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Computational Methods for Electric Power Systems

Computational Methods for Electric Power Systems introduces computational methods that form the basis of many analytical studies in power;

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Computational Methods for Electric Power Systems

Computational Methods for Electric Power Systems introduces computational methods that form the basis of many analytical studies in power;

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Elements of Statistical Computing

development of statistical theory. At the same time, the computational methods used in statistical work span much of computer science. Elements;

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Iterative Splitting Methods for Differential Equations

methods that efficiently use computational and memory resources. It focuses on systems of parabolic and hyperbolic equations, including convection;

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Iterative Splitting Methods for Differential Equations

methods that efficiently use computational and memory resources. It focuses on systems of parabolic and hyperbolic equations, including convection;

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Multicomponent and Multiscale Systems

This book examines the latest research results from combined multi-component and multi-scale explorations. It provides theory, considers;

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Multicomponent and Multiscale Systems

This book examines the latest research results from combined multi-component and multi-scale explorations. It provides theory, considers;

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Optimization in Solving Elliptic Problems

Optimization in Solving Elliptic Problems focuses on one of the most interesting and challenging problems of computational mathematics;

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Computational Radiology and Imaging

The articles collected in this volume are based on lectures given at the IMA Workshop, Computational Radiology and Imaging: Therapy and;

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Iterative Solution Methods

, such as set theory and matrix algebra, however it is demanding for students who are not afraid of theory. To assist the reader, the more;

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Undergraduate Research at Cameron University on Iterative Procedures in Banach and Other Spaces

This book is intended for undergraduate and graduate researchers and practitioners in computational sciences and as a reference book for an;

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Mathematical Modeling for the Solution of Equations and Systems of Equations with Applications -- Volume I

ill-posed problem. It is worth mentioning that most problems in computational and related disciplines can be brought in the form of an;

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Next Generation Newton-Type Methods

research potential for new advanced research on iterative computational methods. This monograph provides readers with a unique presentation on the;

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Applied Iterative Methods

algorithms. It is the first book to combine subjects such as optimization, convex analysis, and approximation theory and organize them around a;

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Applied Iterative Methods

algorithms. It is the first book to combine subjects such as optimization, convex analysis, and approximation theory and organize them around a;

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Numerical Methods and their Applications to Linear Algebra

and gain practical knowledge of modern computational techniques for the numerical solution of linear algebra.;

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Elementary Linear Algebra

Elementary Linear Algebra, Sixth Edition provides a solid introduction to both the computational and theoretical aspects of linear algebra;

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A Contemporary Study of Iterative Methods

-dimensional spaces Encompasses the novel tool of dynamic analysis for iterative methods, including new developments in Smale stability theory;

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A Survey of Preconditioned Iterative Methods

speed up convergence. In many cases, the selection of a proper preconditioner is crucial to the resulting computational performance. For this;

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75 Years of Mathematics of Computation

in computational number theory and computational algebra. On the continuous side, there are twelve papers covering topics in machine learning, high;

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

causality and different types of memory. As a result, the book represents a blend of new methods in general computational analysis, and;

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Domain Decomposition Methods in Science and Engineering XXIV

designed to make effective use of massively parallel, high-performance computing systems. The book presents both theoretical and computational;

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Domain Decomposition Methods in Science and Engineering XXV

theoretical and computational advances in this domain, reflecting the state of art in 2018.;

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