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- 340 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Linear Algebra, Matrix Theory and Applications
Book details
Table of contents
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About This Book
Linear Algebra, Matrix Theory and Applications gives insights into the various aspects related to the matrices including the concepts on vector spaces, least square regression, determinants, eigen values, eigen vectors, positive definite matrices, singular value decomposition and teaches the readers the methods of computation in matrices.This book also discusses about Reduced triangular form of polynomial, Gaussian Elimination-based correlation analysis, Shift-invert diagonalization of spin chains, Fast matrix multiplication, Finding the pth root of principal matrix and Quasi-rational canonical form of a matrix.
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Yes, you can access Linear Algebra, Matrix Theory and Applications by Stefano Spezia in PDF and/or ePUB format, as well as other popular books in Mathematics & Mathematics General. We have over one million books available in our catalogue for you to explore.
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Table of contents
- Cover
- Title Page
- Copyright
- DECLARATION
- ABOUT THE EDITOR
- TABLE OF CONTENTS
- List of Contributors
- List of Abbreviations
- Preface
- SECTION 1: MATRICES AND GAUSSIAN ELIMINATION
- SECTION 2: VECTOR SPACES, LEAST SQUARES REGRESSION AND GRAMâSCHMIDT PROCESS
- SECTION 3: DETERMINANTS
- SECTION 4: EIGENVALUES AND EIGENVECTORS
- SECTION 5: POSITIVE DEFINITE MATRICES AND SINGULAR VALUE DECOMPOSITION
- SECTION 6: COMPUTATIONS WITH MATRICES AND LINEAR PROGRAMMING
- SECTION 7: THE JORDAN FORM AND THE PRINCIPAL MATRIX pTH ROOT
- Index
- Back Cover