Books in category Mathematics – Matrices

LogGases and Random Matrices (LMS34)
This is the first textbook development of both nonsymmetric and symmetric Jack polynomial theory, as well as the connection between Selberg integral theory and beta ensembles.

Hadamard Matrices and Their Applications
Pointing the way to possible new developments in a field ripe for further research, this book formulates and discusses ninety open questions.

Combinatorial Matrix Classes, Volume 13
A natural sequel to the author's previous book Combinatorial Matrix Theory written with H. J. Ryser, this is the first book devoted exclusively to existence questions, constructive algorithms, enumeration questions, and other properties …

This book is a comprehensive and selfcontained study of the essential theory of totally nonnegative matrices, defined by the nonnegativity of all subdeterminants.

Matrices and Linear Transformations
Undergraduatelevel introduction to linear algebra and matrix theory.

Invariant Subspaces of Matrices with Applications
This unique book addresses advanced linear algebra using invariant subspaces as the central notion and main tool.

An Introduction to Matrices, Sets and Groups for Science Students
Concise, readable text introduces sets, groups, and, most importantly, matrices to undergraduate students of physics, chemistry, and engineering. Each chapter contains worked examples and many problems with answers. 1974 edition.

Special Matrices of Mathematical Physics
This book expounds three special kinds of matrices that are of physical interest, centering on physical examples.

Matrix Functions and Matrix Equations
This book covers materials relevant to advanced undergraduate and graduate courses in numerical linear algebra and scientific computing. It is also wellsuited for selfstudy.

Direct Methods for Sparse Linear Systems
The book includes CSparse, a concise downloadable sparse matrix package that illustrates the algorithms and theorems presented in the book and equips readers with the tools necessary to understand larger and more complex software packages …