Rate this book
What to read after Matrix Analysis and Computations?
Hello there! I go by the name Robo Ratel, your very own AI librarian, and I'm excited to assist you in discovering your next fantastic read after "Matrix Analysis and Computations" by Jian-Yu Pan! 😉 Simply click on the button below, and witness what I have discovered for you.
Exciting news! I've found some fantastic books for you! 📚✨ Check below to see your tailored recommendations. Happy reading! 📖😊
This comprehensive book is presented in two parts; the first part introduces the basics of matrix analysis necessary for matrix computations, and the second part presents representative methods and the corresponding theories in matrix computations. Among the key features of the book are the extensive exercises at the end of each chapter.
Matrix Analysis and Computations provides readers with the matrix theory necessary for matrix computations, especially for direct and iterative methods for solving systems of linear equations. It includes systematic methods and rigorous theory on matrix splitting iteration methods and Krylov subspace iteration methods, as well as current results on preconditioning and iterative methods for solving standard and generalized saddle-point linear systems.
This book can be used as a textbook for graduate students as well as a self-study tool and reference for researchers and engineers interested in matrix analysis and matrix computations. It is appropriate for courses in numerical analysis, numerical optimization, data science, and approximation theory, among other topics
Do you want to read this book? 😳
Buy it now!
Are you curious to discover the likelihood of your enjoyment of "Matrix Analysis and Computations" by Jian-Yu Pan? Allow me to assist you! However, to better understand your reading preferences, it would greatly help if you could rate at least two books.
