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.
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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.
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