Title
Introduction to Matrix Computations (Computer Science and Applied Mathematics),New
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Numerical linear algebra is far too broad a subject to treat in a single introductory volume. Stewart has chosen to treat algorithms for solving linear systems, linear least squares problems, and eigenvalue problems involving matrices whose elements can all be contained in the highspeed storage of a computer. By way of theory, the author has chosen to discuss the theory of norms and perturbation theory for linear systems and for the algebraic eigenvalue problem. These choices exclude, among other things, the solution of large sparse linear systems by direct and iterative methods, linear programming, and the useful PerronFrobenious theory and its extensions. However, a person who has fully mastered the material in this book should be well prepared for independent study in other areas of numerical linear algebra.
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- Q: What topics are covered in 'Introduction to Matrix Computations'? A: The book covers algorithms for solving linear systems, linear least squares problems, and eigenvalue problems, focusing on matrices suitable for high-speed computer storage.
- Q: Who is the author of this book? A: The author of 'Introduction to Matrix Computations' is G. W. Stewart.
- Q: What is the publication date of this book? A: The book was published on June 11, 1973.
- Q: How many pages does 'Introduction to Matrix Computations' have? A: The book contains 441 pages.
- Q: What is the condition of the book being sold? A: The item condition is listed as 'Good'.
- Q: What type of binding does this book have? A: The book features a hardcover binding.
- Q: Is this book suitable for beginners in numerical linear algebra? A: While the book is an introductory volume, it is best suited for readers who have some foundational knowledge of numerical linear algebra.
- Q: Does the book include exercises or problems for practice? A: The book primarily focuses on theory and algorithms; it does not specifically mention including exercises or practice problems.
- Q: Is this book still relevant for current studies in computer science? A: Yes, while it was published in 1973, the foundational concepts in numerical linear algebra remain relevant in modern computer science applications.
- Q: What are the key features of the book? A: The book discusses theory related to norms and perturbation theory for linear systems and algebraic eigenvalue problems, though it does not cover certain topics such as large sparse linear systems.