LINEAR ALGEBRA II: ADVANCED TOPICS FOR APPLICATIONS

LINEAR ALGEBRA II: ADVANCED TOPICS FOR APPLICATIONS

Auteur: Kazuo Murota, Masaaki Sugihara
Éditeur: World Scientific Publishing Company
Année de publication: 2022
ISBN: 9811257078

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This is the second volume of the two-volume book on linear algebra in the University of Tokyo (UTokyo) Engineering Course.

The objective of this second volume is to branch out from the standard mathematical results presented in the first volume to illustrate useful specific topics pertaining to engineering applications. While linear algebra is primarily concerned with systems of equations and eigenvalue problems for matrices and vectors with real or complex entries, this volumes covers other topics such as matrices and graphs, nonnegative matrices, systems of linear inequalities, integer matrices, polynomial matrices, generalized inverses, and group representation theory.

The chapters are, for the most part, independent of each other, and can be read in any order according to the reader's interest. The main objective of this book is to present the mathematical aspects of linear algebraic methods for engineering that will potentially be effective in various application areas.

Contents:

  • Preface
  • Matrices and Graphs
  • Nonnegative Matrices
  • Systems of Linear Inequalities
  • Integer Matrices
  • Polynomial Matrices
  • Generalized Inverses
  • Group Representation Theory
  • Bibliography
  • Index

Readership: Graduate students majoring in engineering and other mathematical sciences.

Key Features:

  • The book takes the approach of developing theories through concrete matrix representations (normal forms)rather than abstract concepts
  • It aims at self-contained presentations of mathematical arguments, so that the reader can follow them without referring to other sources
  • The chapters are, for the most part, independent of each other, and can be read in any order according to the reader's interest
  • The main objective of this book is to present the mathematical aspects of linear algebraic methods for engineering that will potentially be effective in various application areas

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