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Synopsis
The book ""Theory of Matrices"" by Sam Perlis is a comprehensive guide to the theory and applications of matrices. The book covers a wide range of topics, including matrix algebra, determinants, eigenvalues and eigenvectors, matrix decompositions, and applications of matrices in various fields such as physics, engineering, and economics.The first few chapters of the book introduce the basic concepts of matrix algebra and cover topics such as matrix addition, multiplication, and inversion. The book then delves into more advanced topics such as determinants, matrix norms, and matrix factorizations.One of the key strengths of the book is its focus on applications of matrices. The author provides numerous examples and exercises that demonstrate how matrices can be used to solve real-world problems in fields such as physics, engineering, and economics. The book also includes a chapter on numerical methods for solving matrix problems, which is particularly useful for students and practitioners in fields such as computer science and data analysis.Overall, ""Theory of Matrices"" is a comprehensive and accessible guide to the theory and applications of matrices. Whether you are a student or a practitioner in a field that uses matrices, this book is an essential resource for understanding the fundamental concepts and techniques of matrix algebra.This scarce antiquarian book is a facsimile reprint of the old original and may contain some imperfections such as library marks and notations. Because we believe this work is culturally important, we have made it available as part of our commitment for protecting, preserving, and promoting the world's literature in affordable, high quality, modern editions, that are true to their original work.
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Synopsis
Exceptionally useful text focuses on the establishment of the well-known canonical forms. Rank, nonsingularity and inverses are introduced in connection with the development of canonical matrices under the relation of equivalence, and without the intervention of determinants. Congruence and Hermiti
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Theory of Matrices
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