Scientific Computing,New
Scientific Computing,New

Scientific Computing,New

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Heath 2/e, presents a broad overview of numerical methods for solving all the major problems in scientific computing, including linear and nonlinear equations, least squares, eigenvalues, optimization, interpolation, integration, ordinary and partial differential equations, fast Fourier transforms, and random number generators. The treatment is comprehensive yet concise, softwareoriented yet compatible with a variety of software packages and programming languages. The book features more than 160 examples, 500 review questions, 240 exercises, and 200 computer problems. Changes for the second edition include: expanded motivational discussions and examples; formal statements of all major algorithms; expanded discussions of existence, uniqueness, and conditioning for each type of problem so that students can recognize 'good' and 'bad' problem formulations and understand the corresponding quality of results produced; and expanded coverage of several topics, particularly eigenvalues and constrained optimization. The book contains a wealth of material and can be used in a variety of one or twoterm courses in computer science, mathematics, or engineering. Its comprehensiveness and modern perspective, as well as the software pointers provided, also make it a highly useful reference for practicing professionals who need to solve computational problems.

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Warranty

We provide a 2-year limited warranty, from the date of purchase for all our products.

If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.

This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).

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Frequently Asked Questions

  • Q: What topics are covered in 'Scientific Computing' by Michael T. Heath? A: The book covers a broad range of topics in scientific computing, including numerical methods for linear and nonlinear equations, least squares, optimization, interpolation, integration, ordinary and partial differential equations, fast Fourier transforms, and random number generators.
  • Q: Is 'Scientific Computing' suitable for beginners? A: Yes, the book is designed to be comprehensive yet concise, making it suitable for beginners as well as those with some background in computer science, mathematics, or engineering.
  • Q: What are the key features of the second edition of this book? A: The second edition includes expanded motivational discussions, formal statements of major algorithms, discussions on existence and uniqueness of problems, and expanded coverage of eigenvalues and constrained optimization.
  • Q: How many pages does 'Scientific Computing' have? A: The book contains a total of 563 pages.
  • Q: What is the binding type of 'Scientific Computing'? A: The book is available in a hardcover binding.
  • Q: Who is the author of 'Scientific Computing'? A: The author of the book is Michael T. Heath.
  • Q: When was 'Scientific Computing' published? A: The book was published on July 17, 2002.
  • Q: Can 'Scientific Computing' be used as a reference book for professionals? A: Yes, its comprehensiveness and modern perspective make it a useful reference for practicing professionals who need to solve computational problems.
  • Q: What kind of exercises does 'Scientific Computing' include? A: The book includes more than 500 review questions, 240 exercises, and 200 computer problems to enhance the learning experience.
  • Q: What software compatibility does 'Scientific Computing' offer? A: The book is software-oriented and compatible with various software packages and programming languages, making it versatile for different computational environments.