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About 10,000 papers for “iterative methods”

Iterative Methods

Robert J. Burkholder, Jin‐Fa Lee · Encyclopedia of RF and Microwave Engineering · 2005

Abstract Iterative solution algorithms are described for complex systems with a large number of degrees of freedom. Areas of application include partial differential equations, integral equations, and hybrid methods in electromagnetics. Classical (or stationary) methods and conjugate gradient (nonstationary) methods are presented. Classical methods are generalized in terms of matrix splittings. The conjugate gradient method is derived in detail from the point of view of Galerkin testing and Krylov spaces. Preconditioning is discussed, and some common preconditioners from classical methods are presented.

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Iterative Methods

Eric F. Van de Velde · Texts in applied mathematics · 1994

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Iterative Methods

Michael K. Ng · 2004

Abstract Excellent comprehensive references for iterative methods can be found in (Golub and Van Loan, 1989; Barrett et al., 1993; Saad, 1996).

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Iterative Methods

Alexander J. Zaslavski · SpringerBriefs in optimization · 2025

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Iterative methods

Melvin Scott A, Beny Neta B, Changbum Chun C et al. · 2016

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Iterative Methods

Donald W. Rogers · 2003

The purpose of the first three chapters is to establish a mathematical background and a computational nomenclature for the rest of the book. The intention is to start each separate group of topics at an elementary level but to follow a fairly steep learning curve using real-world exercises and Computer Projects drawn, in most cases, from the literature of experimental and computational chemistry. Chapter 1 starts with the idea of solving equations iteratively and proceeds through problems on the Gaussian distribution and medical decision making using statistical analysis, to curve fitting illustrated by problems in molecular speeds and elementary quantum mechanics.

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Iterative methods

Pieter Wesseling · Springer series in computational mathematics · 2009

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