Zhong-Zhi Bai,Jian-Yu Pan
Matrix Analysis and Computations
Matrix Analysis and Computations
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- More about Matrix Analysis and Computations
Matrix Analysis and Computations provides an introduction to matrix analysis and presents methods and theories for solving linear equations, including splitting, iteration, and preconditioning. It is intended for graduate students, researchers, and engineers interested in matrix analysis and computations.
Format: Paperback / softback
Length: 484 pages
Publication date: 01 June 2021
Publisher: Society for Industrial & Applied Mathematics,U.S.
Matrix Analysis and Computations delve into the fundamental principles of matrix analysis, providing a comprehensive introduction to the field. This textbook serves as a valuable resource for readers seeking to gain a deeper understanding of matrix computations. Within its pages, readers will discover a wealth of information and insights.
The matrix theory, essential for direct and iterative methods of solving systems of linear equations, is thoroughly explored. Systematic approaches and rigorous theoretical frameworks are presented for matrix splitting iteration methods, Krylov subspace iteration methods, and preconditioning and iterative methods for solving standard and generalized saddle-point linear systems.
Current research results on these topics are also covered, offering readers a glimpse into the latest advancements in the field. To reinforce the learning process, each chapter concludes with a series of exercises designed to apply the learned methods.
This book is meticulously crafted with graduate students, researchers, and engineers in mind, catering to their interests in matrix analysis and matrix computations. It serves as an ideal textbook for courses such as Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory.
By delving into the complexities of matrix analysis and computations, Matrix Analysis and Computations equip readers with the tools and knowledge necessary to excel in this field. Whether you are a student, researcher, or professional seeking to advance your understanding of matrix-based solutions, this textbook is a must-read.
Weight: 1008g
Dimension: 180 x 258 x 32 (mm)
ISBN-13: 9781611976625
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