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: How many pages does this book have? A: This book has four hundred forty-one pages. It's a comprehensive resource for understanding matrix computations.
- Q: What are the dimensions of this book? A: The dimensions of this book are six and a half inches by nine and a half inches, with a thickness of one inch.
- Q: What type of binding does this book have? A: This book features a hardcover binding. This provides durability and protection for long-term use.
- Q: Who is the author of this book? A: The author of this book is G. W. Stewart. He is recognized for his contributions to numerical linear algebra.
- Q: What subject does this book cover? A: This book covers numerical linear algebra. It focuses on algorithms for solving various matrix-related problems.
- Q: How can I benefit from reading this book? A: You can benefit by gaining a solid foundation in numerical linear algebra. It prepares you for advanced independent study.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners. It provides an introduction to essential concepts in matrix computations.
- Q: What topics are discussed in this book? A: The book discusses algorithms for linear systems, least squares problems, and eigenvalue problems, among other topics.
- Q: Who would find this book useful? A: Students and professionals in computer science and applied mathematics would find this book useful. It serves as an introductory guide.
- Q: How should I store this book? A: Store this book in a dry, cool place on a bookshelf. This helps maintain its condition and prevent damage.
- Q: Is this book easy to clean? A: Yes, this book is easy to clean. Simply wipe the cover with a dry cloth to remove dust.
- Q: Can I return this book if I don't like it? A: Yes, you can return this book if you're not satisfied. Check the retailer's return policy for details.
- Q: What if the book arrives damaged? A: If the book arrives damaged, contact customer support immediately. They will assist with a replacement or refund.
- Q: Does this book include exercises or problems? A: No, this book does not include exercises. It focuses primarily on theoretical concepts and algorithms.
- Q: Is this book part of a series? A: No, this book is not part of a series. It stands alone as an introductory text on matrix computations.