Матрицы и определители

3rd ed. — Dover Publications, 2012. — 1189 p. — (Dover Books on Mathematics). — ISBN: 0486425347, 9780486425344 This complete and coherent exposition, complemented by numerous illustrative examples, offers readers a text that can teach by itself. Fully rigorous in its treatment, it offers a mathematically sound sequencing of topics. The work starts with the most basic laws of...

Dover Publications, 2017. — 256 p. Written as a guide to using matrices as a mathematical tool, this text is geared toward physical and social scientists, engineers, economists, and others who require a model for procedure rather than an exposition of theory. Knowledge of elementary algebra is the only mathematical prerequisite. Detailed numerical examples illustrate the...

Mineola, New York, USA: Dover Publ. Inc., 2018. — 324 p. — ISBN: 0486824195. A comprehensive text on matrix theory and its applications, this book is intended for a broad range of students in mathematics, engineering, and other areas of science at the university level. Author Alexander Graham avoids a simple catalogue of techniques by exploring the concepts' underlying...

New York: Dover Publications, 1990. — 336 pages. 2nd Edition ISBN: 0486663280 Undergraduate-level introduction to linear algebra and matrix theory deals with matrices and linear systems, vector spaces, determinants, linear transformations, similarity, polynomials, and polynomial matrices. Also spectral decomposition, Jordan canonical form, solution of the matrix equation AX=XB,...

Hindustan Book Agency, 2014. — 332 p. — ISBN: 3319041495 Matrices can be studied in different ways. They are a linear algebraic structure and have a topological/analytical aspect (for example, the normed space of matrices) and they also carry an order structure that is induced by positive semidefinite matrices. The interplay of these closely related structures is an essential...

2nd Edition. — Springer International Publishing AG, 2018. — 294 p. — (Undergraduate Texts in Mathematics). — ISBN: 3319747479. In its second edition, this textbook offers a fresh approach to matrix and linear algebra. Its blend of theory, computational exercises, and analytical writing projects is designed to highlight the interplay between these aspects of an application....

Cesar Lopez Perez, 2016. — 180 p. — ISBN: 1523448644 Mathematica is a platform for scientific computing that helps you to work in virtually all areas of the experimental sciences and engineering. In particular, this software presents quite extensive capabilities and implements a large number of commands enabling you to efficiently handle problems involving Matrix Algebra. The...

Sptinger, 2020. — 854 p. — ISBN: 978-981-15-2770-8. Matrix algebra plays an important role in many core artificial intelligence (AI) areas, including machine learning, neural networks, support vector machines (SVMs) and evolutionary computation. This book offers a comprehensive and in-depth discussion of matrix algebra theory and methods for these four core areas of AI, while...

Springer, 2021. — 199 p. — ISBN 978-3-030-80480-0. This book is designed to serve as a textbook for courses offered to undergraduate and postgraduate students enrolled in Mathematics. Using elementary row operations and Gram-Schmidt orthogonalization as basic tools the text develops characterization of equivalence and similarity, and various factorizations such as rank...

Springer, 2021. — 287 p. — ISBN 978-3-030-76046-5. This self-contained monograph unifies theorems, applications and problem solving techniques of matrix inequalities. In addition to the frequent use of methods from Functional Analysis, Operator Theory, Global Analysis, Linear Algebra, Approximations Theory, Difference and Functional Equations and more, the reader will also...