Matrix Computations (Johns Hopkins Studies In The Mathematical Sciences),Used
Matrix Computations (Johns Hopkins Studies In The Mathematical Sciences),Used

Matrix Computations (Johns Hopkins Studies In The Mathematical Sciences),Used

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SKU: SONG0801837391
Brand: The Johns Hopkins University Press
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Revised And Updated, The Third Edition Of Golub And Van Loan'S Classic Text In Computer Science Provides Essential Information About The Mathematical Background And Algorithmic Skills Required For The Production Of Numerical Software. This New Edition Includes Thoroughly Revised Chapters On Matrix Multiplication Problems And Parallel Matrix Computations, Expanded Treatment Of Cs Decomposition, An Updated Overview Of Floating Point Arithmetic, A More Accurate Rendition Of The Modified Gramschmidt Process, And New Material Devoted To Gmres, Qmr, And Other Methods Designed To Handle The Sparse Unsymmetric Linear System Problem.

⚠️ WARNING (California Proposition 65):

This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

For more information, please visit www.P65Warnings.ca.gov.

  • Q: How many pages does the book have? A: This book contains six hundred sixty-four pages. It provides comprehensive coverage of matrix computations and related topics.
  • Q: What is the binding type of this book? A: The book is available in paperback binding. This makes it lightweight and portable for easy reading.
  • Q: What are the dimensions of the book? A: The dimensions are approximately seven point eight seven inches in length, zero point five nine inches in width, and nine point eight four inches in height. These measurements ensure it fits well on standard bookshelves.
  • Q: Who is the author of this book? A: The author is Professor Gene H. Golub. He is known for his contributions to numerical analysis and matrix computations.
  • Q: What is the main topic of the book? A: The book focuses on matrix computations and numerical software. It covers essential mathematical backgrounds and algorithmic skills.
  • Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners in computer science. It provides foundational knowledge in matrix computations.
  • Q: Can I use this book for self-study? A: Yes, this book is ideal for self-study. Its comprehensive explanations and examples are beneficial for independent learners.
  • Q: Is this book appropriate for advanced readers? A: Yes, advanced readers will find valuable insights in this book. It includes updated methodologies and complex matrix computation techniques.
  • Q: What level of math knowledge is required to understand this book? A: A basic understanding of linear algebra is recommended. Familiarity with numerical methods will also enhance comprehension.
  • Q: How should I store this book to keep it in good condition? A: Store this book upright on a shelf, away from direct sunlight. Avoid placing heavy items on top to prevent damage.
  • Q: Can I clean the book if it gets dirty? A: Yes, you can gently wipe the cover with a soft, dry cloth. Avoid using water or cleaning solutions that might damage the cover.
  • Q: What should I do if the book arrives damaged? A: If the book arrives damaged, contact the seller for a return or replacement. Most sellers have a return policy for such issues.
  • Q: Is there a warranty on this book? A: No, this book typically does not come with a warranty. However, check the seller's policy for information on returns and exchanges.
  • Q: Are there any recommended supplementary materials? A: Yes, supplementary materials include online resources and software tools for practicing matrix computations. They can enhance your learning experience.
  • Q: Does this book cover programming aspects of matrix computations? A: Yes, it discusses algorithmic skills necessary for implementing matrix computations in programming. This is beneficial for software development.

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