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Add to basketCondition: Used: Good. Addison-Wesley, 1991, in-8 cartonnage éditeur, 426 pages. Couverture en bon état général, solide. Intérieur des plus frais. Exemplaire de bibliothèque : petit code barre en pied de 1re de couv., cotation au dos, rares et discrets petits tampons à l?intérieur de l?ouvrage. [BT13+].
Published by MP-SIA SIAM - Society for Industrial and Applied M, 2021
ISBN 10: 1611976561 ISBN 13: 9781611976564
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Published by SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10: 1611976561 ISBN 13: 9781611976564
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Published by SIAM - Society for Industrial and Applied Mathematics (edition ), 2021
ISBN 10: 1611976561 ISBN 13: 9781611976564
Language: English
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Published by Society For Industrial & Applied Mathematics,U.S., 2021
ISBN 10: 1611976561 ISBN 13: 9781611976564
Language: English
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Add to basketPaperback / Softback. Condition: Brand New. 277 pages. 9.17x7.17x1.14 inches. In Stock.
Published by SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10: 1611976561 ISBN 13: 9781611976564
Language: English
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Published by SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10: 1611976561 ISBN 13: 9781611976564
Language: English
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Published by Society for Industrial and Applied Mathematics,U.S., US, 2021
ISBN 10: 1611976561 ISBN 13: 9781611976564
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Add to basketPaperback. Condition: New. Numerical Linear Algebra and Optimization covers the fundamentals of closely related topics: linear systems (linear equations and least-squares) and linear programming (optimizing a linear function subject to linear constraints). For each problem class, stable and efficient numerical algorithms intended for a finite-precision environment are derived and analyzed. In 1991, when the book first appeared, these topics were rarely taught with a unified perspective, and, somewhat surprisingly, this remains true almost 30 years later. As a result, some of the material in this book can be difficult to find elsewhere-in particular, techniques for updating the LU factorization, descriptions of the simplex method applied to all-inequality form, and the analysis of what happens when using an approximate inverse to solve Ax=b.This book is appropriate for students who want to learn about numerical techniques for solving linear systems and/or linear programming using the simplex method.
Published by Society for Industrial & Applied Mathematics,U.S., 2021
ISBN 10: 1611976561 ISBN 13: 9781611976564
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Published by SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10: 1611976561 ISBN 13: 9781611976564
Language: English
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Published by Society for Industrial & Applied Mathematics,U.S., 2021
ISBN 10: 1611976561 ISBN 13: 9781611976564
Language: English
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Add to basketCondition: New. Covers the fundamentals of closely related topics: linear systems (linear equations and least-squares) and linear programming (optimizing a linear function subject to linear constraints). For each problem class, stable and efficient numerical algorithms int.
Published by Society For Industrial & Applied Mathematics,U.S. Jun 2021, 2021
ISBN 10: 1611976561 ISBN 13: 9781611976564
Language: English
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Published by Society for Industrial and Applied Mathematics,U.S., US, 2021
ISBN 10: 1611976561 ISBN 13: 9781611976564
Language: English
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Add to basketPaperback. Condition: New. Numerical Linear Algebra and Optimization covers the fundamentals of closely related topics: linear systems (linear equations and least-squares) and linear programming (optimizing a linear function subject to linear constraints). For each problem class, stable and efficient numerical algorithms intended for a finite-precision environment are derived and analyzed. In 1991, when the book first appeared, these topics were rarely taught with a unified perspective, and, somewhat surprisingly, this remains true almost 30 years later. As a result, some of the material in this book can be difficult to find elsewhere-in particular, techniques for updating the LU factorization, descriptions of the simplex method applied to all-inequality form, and the analysis of what happens when using an approximate inverse to solve Ax=b.This book is appropriate for students who want to learn about numerical techniques for solving linear systems and/or linear programming using the simplex method.
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