[N790.Ebook] Download Scientific Computing: An Introduction with Parallel Computing, by Gene H. Golub, James M. Ortega
Download Scientific Computing: An Introduction with Parallel Computing, by Gene H. Golub, James M. Ortega
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Scientific Computing: An Introduction with Parallel Computing, by Gene H. Golub, James M. Ortega
Download Scientific Computing: An Introduction with Parallel Computing, by Gene H. Golub, James M. Ortega
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This book introduces the basic concepts of parallel and vector computing in the context of an introduction to numerical methods. It contains chapters on parallel and vector matrix multiplication and solution of linear systems by direct and iterative methods. It is suitable for advanced undergraduate and beginning graduate courses in computer science, applied mathematics, and engineering. Ideally, students will have access to a parallel or Vector computer, but the material can be studied profitably in any case.
* Gives a modern overview of scientific computing including parallel an vector computation
* Introduces numerical methods for both ordinary and partial differential equations
* Has considerable discussion of both direct and iterative methods for linear systems of equations, including parallel and vector algorithms
* Covers most of the main topics for a first course in numerical methods and can serve as a text for this course
- Sales Rank: #3317383 in Books
- Published on: 1993-02-03
- Original language: English
- Number of items: 1
- Dimensions: 1.02" h x 6.10" w x 9.20" l,
- Binding: Hardcover
- 442 pages
From the Back Cover
Scientific Computing: An introduction with Parallel Computing introduces the basic concepts of parallel and vectoring computing in the context of an introduction to numerical methods. This book contains chapters on parallel and vector matrix multiplication and solutions of linear systems by direct and iterative methods. It is suitable for advanced undergraduate and beginning graduate courses in computer science, applide mathematics, and engineering. Ideally, students will have access to a parallel or vector computer, but the material can be studied profitably without one.
-Gives a modern overview of scientific computing including parallel and vector computation.
-Introduces numerical methods for both ordinary and partial differential equations.
-Discusses both direct and iterative methods for linear systems of equations, including parallel and vector algorithms.
Most helpful customer reviews
2 of 2 people found the following review helpful.
As the title says: an introduction
By wiredweird
It has all the basic bits that a beginner needs to get started in numerical computation: polynomial approximation, numerical integration, and linear systems. The latter is a real strength, since it offer not just exact techniques (like Gaussian elimination), but iterative techniques including sparse-system special cases and more general conjugate gradient techniques. There isn't much cut&paste code here, but theorems usually appear only as conclusions, not as arguments. The last sections, on iterative solutions of linear systems, give more in the way of concepts than guidance, but a determined reader will find value.
Despite strengths, this book has significant weaknesses. Error analysis is thin, and that's what really sets good analysts ahead of the pack. The book predates wide acceptance of symbolic algebra packages, so it favors Taylor series approximations over the superior but tedious orthogonal polynomials. It notes cache:memory penalties under 1:10, where they're typically over 1:100 today. And its discussion of performance processor architecture barely approaches adequate, even by 1993 standards. That dates back 10 generations of Moore's Law, ten doublings of transistor count or 1000x. That's a lot, and a world with a Blue Gene in it is a very different place.
Still, the basics haven't changed. Despite some obscurity in the later chapters, it's still good for the first few things a numerical programmer needs to know, including a little parallelism awareness. If I were teaching a basic course in scientific computation, it would still be in the running when I went to choose a text.
//wiredweird
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