An Introduction to Applied Matrix Analysis

Xiao Qing Jin

ISBN 10: 981474946X / ISBN 13: 9789814749466

Editore: World Scientific Publishing Company Jul 2016, 2016

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Neuware - It is well known that most problems in science and engineering eventually progress into matrix problems. This book gives an elementary introduction to applied matrix theory and it also includes some new results obtained in recent years.The book consists of eight chapters. It includes perturbation and error analysis; the conjugate gradient method for solving linear systems; preconditioning techniques; and least squares algorithms based on orthogonal transformations, etc. The last two chapters include some latest development in the area. In Chap. 7, we construct optimal preconditioners for functions of matrices. More precisely, let f be a function of matrices. Given a matrix A, there are two choices of constructing optimal preconditioners for f(A). Properties of these preconditioners are studied for different functions. In Chap. 8, we study the BottcherWenzel conjecture and discuss related problems.This is a textbook for senior undergraduate or junior graduate students majoring in science and engineering. The material is accessible to students who, in various disciplines, have basic linear algebra, calculus, numerical analysis, and computing knowledge. The book is also useful to researchers in computational science who are interested in applied matrix theory.

Codice articolo 9789814749466

Dati bibliografici

• Titolo: An Introduction to Applied Matrix Analysis
• Editore: World Scientific Publishing Company Jul 2016
• Data di pubblicazione: 2016
• Lingua: Inglese
• ISBN 10: 981474946X
• ISBN 13: 9789814749466
• Rilegatura: Buch
• Condizione: Neu
• Dimensioni: 231 L x 155 A x 15 P (millimetri) 231 millimetri di larghezza per 155 millimetri di altezza per 15 millimetri di profondità
• Peso: 431 grammi

Descrizione articolo

Riassunto

It is well known that most problems in science and engineering eventually progress into matrix problems. This book gives an elementary introduction to applied matrix theory and it also includes some new results obtained in recent years.The book consists of eight chapters. It includes perturbation and error analysis; the conjugate gradient method for solving linear systems; preconditioning techniques; and least squares algorithms based on orthogonal transformations, etc. The last two chapters include some latest development in the area. In Chap. 7, we construct optimal preconditioners for functions of matrices. More precisely, let f be a function of matrices. Given a matrix A, there are two choices of constructing optimal preconditioners for f(A). Properties of these preconditioners are studied for different functions. In Chap. 8, we study the BottcherWenzel conjecture and discuss related problems.This is a textbook for senior undergraduate or junior graduate students majoring in science and engineering. The material is accessible to students who, in various disciplines, have basic linear algebra, calculus, numerical analysis, and computing knowledge. The book is also useful to researchers in computational science who are interested in applied matrix theory.