<p>Modern developments of Random Matrix Theory as well as pedagogical approaches to the standard core of the discipline are surprisingly hard to find in a well-organized, readable and user-friendly fashion. This slim and agile book, written in a pedagogical and hands-on style, without sacrificing fo
Basic Matrices: An Introduction to Matrix Theory and Practice
โ Scribed by C. G. Broyden (auth.)
- Publisher
- Macmillan Education UK
- Year
- 1975
- Tongue
- English
- Leaves
- 223
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Front Matter....Pages i-xii
Introduction โ the Tools of the Trade....Pages 1-24
Some Elementary Consequences of Linear Independence....Pages 25-40
Matrix and Vector Norms....Pages 41-53
The Practical Solution of Linear Equations....Pages 54-73
Eigenvalues and Eigenvectors....Pages 74-98
The Practical Evaluation of Eigenvalues and Eigenvectors....Pages 99-123
Further Properties of Linear Equations....Pages 124-138
Scalar Functions of a Vector....Pages 139-159
Linear Programming....Pages 160-185
Duality....Pages 186-202
Back Matter....Pages 203-211
โฆ Subjects
Linear and Multilinear Algebras, Matrix Theory
๐ SIMILAR VOLUMES
Skew spectrum of the Cartesian product of an oriented graph with an oriented hypercube / A. Anuradha, R. Balakrishnan -- Notes on explicit block diagonalization / Murali K. Srinivasan -- The third immanant of q-Laplacian matrices of trees and Laplacians of regular graphs / R.B. Bapat -- Matrix prod
<p>This book consists of eighteen articles in the area of `Combinatorial Matrix Theory' and `Generalized Inverses of Matrices'. Original research and expository articles presented in this publication are written by leading Mathematicians and Statisticians working in these areas. The articles contain
Lincoln Laboratorty, 1965. - pp.<div class="bb-sep"></div>The purpose of this report is to define a useful shorthand notation for dealing with matrix functions and to use these results in order to compute the gradient matrices of several scalar functions of matrices.
''Preface On the surface, matrix theory and graph theory are seemingly very different branches of mathematics. However, these two branches of mathematics interact since it is often convenient to represent a graph as a matrix. Adjacency, Laplacian, and incidence matrices are commonly used to represen
On the surface, matrix theory and graph theory seem like very different branches of mathematics. However, adjacency, Laplacian, and incidence matrices are commonly used to represent graphs, and many properties of matrices can give us useful information about the structure of graphs. Applications of