Full Product Details
Author: Maciej Paszynski
Publisher: Taylor & Francis Ltd
Imprint: CRC Press
Weight: 0.648kg
ISBN: 9781032921440
ISBN 10: 1032921447
Pages: 352
Publication Date: 14 October 2024
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Paperback
Publisher's Status: Active
Availability: In Print
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Reviews
""The author describes how to design and implement effi�cient parallel multi-frontal direct solver algorithms for mesh-based computations. Each chapter explains how to design and implement a parallel sparse direct solver specific for a particular structure of the matrix. All the solvers presented are either designed from scratch or based on previously designed and implemented solvers. The book's structure follows that of the matrices, starting from tri-diagonal matrices resulting from one-dimensional mesh-based methods, through multi-diagonal or block-diagonal matrices, and ending with general sparse matrices. In each chapter JAVA or Fortran codes of the parallel sparse direct solver are listed. The author also derives exemplary element frontal matrices for different one-, two-, or three-dimensional mesh-based computations. These matrices can be used as references for testing the developed parallel direct solvers. The book represents a valuable resource for researchers and graduate students who would like to learn how to design and implement parallel direct solvers for mesh-based computations."" ~Nicola Mastronardi, Mathematical Reviews, 2017
""The author describes how to design and implement effi□cient parallel multi-frontal direct solver algorithms for mesh-based computations. Each chapter explains how to design and implement a parallel sparse direct solver specific for a particular structure of the matrix. All the solvers presented are either designed from scratch or based on previously designed and implemented solvers. The book's structure follows that of the matrices, starting from tri-diagonal matrices resulting from one-dimensional mesh-based methods, through multi-diagonal or block-diagonal matrices, and ending with general sparse matrices. In each chapter JAVA or Fortran codes of the parallel sparse direct solver are listed. The author also derives exemplary element frontal matrices for different one-, two-, or three-dimensional mesh-based computations. These matrices can be used as references for testing the developed parallel direct solvers. The book represents a valuable resource for researchers and graduate students who would like to learn how to design and implement parallel direct solvers for mesh-based computations."" ~Nicola Mastronardi, Mathematical Reviews, 2017
"""The author describes how to design and implement effi�cient parallel multi-frontal direct solver algorithms for mesh-based computations. Each chapter explains how to design and implement a parallel sparse direct solver specific for a particular structure of the matrix. All the solvers presented are either designed from scratch or based on previously designed and implemented solvers. The book's structure follows that of the matrices, starting from tri-diagonal matrices resulting from one-dimensional mesh-based methods, through multi-diagonal or block-diagonal matrices, and ending with general sparse matrices. In each chapter JAVA or Fortran codes of the parallel sparse direct solver are listed. The author also derives exemplary element frontal matrices for different one-, two-, or three-dimensional mesh-based computations. These matrices can be used as references for testing the developed parallel direct solvers. The book represents a valuable resource for researchers and graduate students who would like to learn how to design and implement parallel direct solvers for mesh-based computations."" ~Nicola Mastronardi, Mathematical Reviews, 2017"
Author Information
Maciej Paszynski, PhD, Department of Computer Science, Electronics and Telecommunications, AGH University of Science and Technology, Kraków, Poland
