The aim of this book is to concisely present fundamental ideas, results, and techniques in linear algebra and mainly matrix theory. The book contains ten chapters covering various topics ranging from similarity and special types of matrices to Schur complements and matrix normality. This book can be used as a textbook or a supplement for a linear algebra and matrix theory class or a seminar for senior undergraduate or graduate students. The book can also serve as a reference for instructors and researchers in the fields of algebra, matrix analysis, operator theory, statistics, computer science, engineering, operations research, economics, and other fields.https://nsuworks.nova.edu/cnso_math_facbooks/1001/thumbnail.jp
Linear algebra and matrix theory are fundamental tools for almost every area of mathematics, both pu...
When first published in 2005, Matrix Mathematics quickly became the essential reference book for use...
This book develops linear algebra around matrices. Vector spaces in the abstract are not considered,...
The aim of this book is to concisely present fundamental ideas, results, and techniques in linear al...
Each chapter ends with a list of references for further reading. Undoubtedly, these will be useful f...
Basic subject on matrix theory and linear algebra, emphasizing topics useful in other disciplines, i...
The first five chapters treat important to economic, psychology, statistics, physics, and mathematic...
This is the first book devoted to the exposition of combinatorial matrix theory. It can be used as a...
One of the best available works on matrix theory in the context of modern algebra, this text bridges...
A good part of matrix theory is functional analytic in spirit. This statement can be turned around. ...
Basic Linear Algebra is a text for first year students leading from concrete examples to abstract th...
This is the revised and expanded edition of the problem book Linear Algebra: Challenging Problems fo...
This book is the first of two volumes on linear algebra for graduate students in mathematics, the sc...
Engineers and scientists need to have an introduction to the basics of linear algebra in a context t...
This book is suitable as a first course for undergraduate students.Matrices and Linear Systems prese...
Linear algebra and matrix theory are fundamental tools for almost every area of mathematics, both pu...
When first published in 2005, Matrix Mathematics quickly became the essential reference book for use...
This book develops linear algebra around matrices. Vector spaces in the abstract are not considered,...
The aim of this book is to concisely present fundamental ideas, results, and techniques in linear al...
Each chapter ends with a list of references for further reading. Undoubtedly, these will be useful f...
Basic subject on matrix theory and linear algebra, emphasizing topics useful in other disciplines, i...
The first five chapters treat important to economic, psychology, statistics, physics, and mathematic...
This is the first book devoted to the exposition of combinatorial matrix theory. It can be used as a...
One of the best available works on matrix theory in the context of modern algebra, this text bridges...
A good part of matrix theory is functional analytic in spirit. This statement can be turned around. ...
Basic Linear Algebra is a text for first year students leading from concrete examples to abstract th...
This is the revised and expanded edition of the problem book Linear Algebra: Challenging Problems fo...
This book is the first of two volumes on linear algebra for graduate students in mathematics, the sc...
Engineers and scientists need to have an introduction to the basics of linear algebra in a context t...
This book is suitable as a first course for undergraduate students.Matrices and Linear Systems prese...
Linear algebra and matrix theory are fundamental tools for almost every area of mathematics, both pu...
When first published in 2005, Matrix Mathematics quickly became the essential reference book for use...
This book develops linear algebra around matrices. Vector spaces in the abstract are not considered,...