Matrix Inequalities for Iterative Systems

Matrix Inequalities for Iterative Systems
Author: Hanjo Taubig
Publisher: CRC Press
Total Pages: 219
Release: 2017-02-03
Genre: Mathematics
ISBN: 1498777791

The book reviews inequalities for weighted entry sums of matrix powers. Applications range from mathematics and CS to pure sciences. It unifies and generalizes several results for products and powers of sesquilinear forms derived from powers of Hermitian, positive-semidefinite, as well as nonnegative matrices. It shows that some inequalities are valid only in specific cases. How to translate the Hermitian matrix results into results for alternating powers of general rectangular matrices? Inequalities that compare the powers of the row and column sums to the row and column sums of the matrix powers are refined for nonnegative matrices. Lastly, eigenvalue bounds and derive results for iterated kernels are improved.

Linear Matrix Inequalities in System and Control Theory

Linear Matrix Inequalities in System and Control Theory
Author: Stephen Boyd
Publisher: SIAM
Total Pages: 203
Release: 1994-01-01
Genre: Mathematics
ISBN: 9781611970777

In this book the authors reduce a wide variety of problems arising in system and control theory to a handful of convex and quasiconvex optimization problems that involve linear matrix inequalities. These optimization problems can be solved using recently developed numerical algorithms that not only are polynomial-time but also work very well in practice; the reduction therefore can be considered a solution to the original problems. This book opens up an important new research area in which convex optimization is combined with system and control theory, resulting in the solution of a large number of previously unsolved problems.

Matrix Inequalities and Their Extensions to Lie Groups

Matrix Inequalities and Their Extensions to Lie Groups
Author: Tin-Yau Tam
Publisher: CRC Press
Total Pages: 148
Release: 2018-03-14
Genre: Mathematics
ISBN: 0429889283

Matrix Inequalities and Their Extensions to Lie Groups gives a systematic and updated account of recent important extensions of classical matrix results, especially matrix inequalities, in the context of Lie groups. It is the first systematic work in the area and will appeal to linear algebraists and Lie group researchers.

Advances in Linear Matrix Inequality Methods in Control

Advances in Linear Matrix Inequality Methods in Control
Author: Laurent El Ghaoui
Publisher: SIAM
Total Pages: 399
Release: 2000-01-01
Genre: Mathematics
ISBN: 9780898719833

Linear matrix inequalities (LMIs) have recently emerged as useful tools for solving a number of control problems. This book provides an up-to-date account of the LMI method and covers topics such as recent LMI algorithms, analysis and synthesis issues, nonconvex problems, and applications. It also emphasizes applications of the method to areas other than control.

Matrix Inequalities for Iterative Systems

Matrix Inequalities for Iterative Systems
Author: Hanjo Täubig
Publisher: CRC Press
Total Pages: 218
Release: 2021-03-31
Genre: Matrix inequalities
ISBN: 9780367782603

The book reviews inequalities for weighted entry sums of matrix powers. Applications range from mathematics and CS to pure sciences. It unifies and generalizes several results for products and powers of sesquilinear forms derived from powers of Hermitian, positive-semidefinite, as well as nonnegative matrices. It shows that some inequalities are valid only in specific cases. How to translate the Hermitian matrix results into results for alternating powers of general rectangular matrices? Inequalities that compare the powers of the row and column sums to the row and column sums of the matrix powers are refined for nonnegative matrices. Lastly, eigenvalue bounds and derive results for iterated kernels are improved.

Iterative Solution Methods

Iterative Solution Methods
Author: Owe Axelsson
Publisher: Cambridge University Press
Total Pages: 676
Release: 1996-03-29
Genre: Mathematics
ISBN: 9780521555692

This book deals primarily with the numerical solution of linear systems of equations by iterative methods. The first part of the book is intended to serve as a textbook for a numerical linear algebra course. The material assumes the reader has a basic knowledge of linear algebra, 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 difficult passages have been marked, the definitions for each chapter are collected at the beginning of the chapter, and numerous exercises are included throughout the text. The second part of the book serves as a monograph introducing recent results in the iterative solution of linear systems, mainly using preconditioned conjugate gradient methods. This book should be a valuable resource for students and researchers alike wishing to learn more about iterative methods.

Iterative Solution of Large Sparse Systems of Equations

Iterative Solution of Large Sparse Systems of Equations
Author: Wolfgang Hackbusch
Publisher: Springer
Total Pages: 460
Release: 1993-12-13
Genre: Mathematics
ISBN: 0387940642

C. F. GauS in a letter from Dec. 26, 1823 to Gerling: 3c~ empfe~le 3~nen biegen IDlobu9 aur 9tac~a~mung. ec~werlic~ werben eie ie wieber bi reet eliminiren, wenigftens nic~t, wenn eie me~r als 2 Unbefannte ~aben. :Da9 inbirecte 93erfa~ren 109st sic~ ~alb im ec~lafe ausfii~ren, ober man fann wo~renb be9gelben an anbere :Dinge benfen. [CO F. GauS: Werke vol. 9, Gottingen, p. 280, 1903] What difference exists between solving large and small systems of equations? The standard methods well-known to any student oflinear algebra are appli cable to all systems, whether large or small. The necessary amount of work, however, increases dramatically with the size, so one has to search for algo rithms that most efficiently and accurately solve systems of 1000, 10,000, or even one million equations. The choice of algorithms depends on the special properties the matrices in practice have. An important class of large systems arises from the discretisation of partial differential equations. In this case, the matrices are sparse (i. e. , they contain mostly zeros) and well-suited to iterative algorithms. Because of the background in partial differential equa tions, this book is closely connected with the author's Theory and Numerical Treatment of Elliptic Differential Equations, whose English translation has also been published by Springer-Verlag. This book grew out of a series of lectures given by the author at the Christian-Albrecht University of Kiel to students of mathematics.

Applied Iterative Methods

Applied Iterative Methods
Author: Louis A. Hageman
Publisher: Elsevier
Total Pages: 409
Release: 2014-06-28
Genre: Mathematics
ISBN: 1483294374

Applied Iterative Methods

Iterative Methods in Combinatorial Optimization

Iterative Methods in Combinatorial Optimization
Author: Lap Chi Lau
Publisher: Cambridge University Press
Total Pages: 255
Release: 2011-04-18
Genre: Computers
ISBN: 1139499394

With the advent of approximation algorithms for NP-hard combinatorial optimization problems, several techniques from exact optimization such as the primal-dual method have proven their staying power and versatility. This book describes a simple and powerful method that is iterative in essence and similarly useful in a variety of settings for exact and approximate optimization. The authors highlight the commonality and uses of this method to prove a variety of classical polyhedral results on matchings, trees, matroids and flows. The presentation style is elementary enough to be accessible to anyone with exposure to basic linear algebra and graph theory, making the book suitable for introductory courses in combinatorial optimization at the upper undergraduate and beginning graduate levels. Discussions of advanced applications illustrate their potential for future application in research in approximation algorithms.