Seller: Librairie Parrêsia, Figeac, France
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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 Elsevier Science & Technology, 1981
ISBN 10: 0122839501 ISBN 13: 9780122839504
Language: English
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Published by Elsevier LTD, Oxford, 1982
ISBN 10: 0122839528 ISBN 13: 9780122839528
Language: English
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Add to basketpaperback. Condition: Befriedigend. 402 Seiten; 9780122839528.4 Gewicht in Gramm: 1.
Published by SIAM - Society for Industrial and Applied Mathematics, 2019
ISBN 10: 161197559X ISBN 13: 9781611975598
Language: English
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Add to basketCondition: Good. Clean text, crisp pages. Looks never used. Ships next business day from NC.
Published by SIAM - Society for Industrial and Applied Mathematics, 2019
ISBN 10: 161197559X ISBN 13: 9781611975598
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by Society for Industrial and Applied Mathematics,U.S., US, 2019
ISBN 10: 161197559X ISBN 13: 9781611975598
Language: English
Seller: Rarewaves.com UK, London, United Kingdom
Paperback. Condition: New. In the intervening years since this book was published in 1981, the field of optimization has been exceptionally lively. This fertility has involved not only progress in theory, but also faster numerical algorithms and extensions into unexpected or previously unknown areas such as semidefinite programming. Despite these changes, many of the important principles and much of the intuition can be found in this Classics version of Practical Optimization.This book provides model algorithms and pseudocode, useful tools for users who prefer to write their own code as well as for those who want to understand externally provided code. It presents algorithms in a step-by-step format, revealing the overall structure of the underlying procedures and thereby allowing a high-level perspective on the fundamental differences. And it contains a wealth of techniques and strategies that are well suited for optimization in the twenty-first century, and particularly in the now-flourishing fields of data science, "big data," and machine learning. Practical Optimization is appropriate for advanced undergraduates, graduate students, and researchers interested in methods for solving optimization problems.
Published by SIAM - Society for Industrial and Applied Mathematics, 2019
ISBN 10: 161197559X ISBN 13: 9781611975598
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by SIAM - Society for Industrial and Applied Mathematics, 2019
ISBN 10: 161197559X ISBN 13: 9781611975598
Language: English
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 401 pages. 9.61x7.32x1.02 inches. In Stock.
Published by SIAM - Society for Industrial and Applied Mathematics, 2019
ISBN 10: 161197559X ISBN 13: 9781611975598
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10: 1611976561 ISBN 13: 9781611976564
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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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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Paperback / Softback. Condition: Brand New. 277 pages. 9.17x7.17x1.14 inches. In Stock.
Published by SIAM - Society for Industrial and Applied Mathematics, 2019
ISBN 10: 161197559X ISBN 13: 9781611975598
Language: English
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Add to basketCondition: acceptable. Used book - May contain writing, notes, highlighting, bends or folds. Text is readable, book is clean, and pages and cover mostly intact. May show normal wear and tear. Item may be missing CD. May include library marks. Fast Shipping.
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Add to basketCondition: New. Well packaged and promptly shipped from California. Partnered with Friends of the Library since 2010.
Published by SIAM - Society for Industrial and Applied Mathematics (edition ), 2021
ISBN 10: 1611976561 ISBN 13: 9781611976564
Language: English
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Add to basketPaperback. Condition: Very Good. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
Published by Society for Industrial & Applied Mathematics,U.S., 2019
ISBN 10: 161197559X ISBN 13: 9781611975598
Language: English
Seller: moluna, Greven, Germany
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Add to basketCondition: New. Provides model algorithms and pseudocode, useful tools for users who prefer to write their own code as well as for those who want to understand externally provided code. The book presents algorithms in a step-by-step format, revealing the structure of the u.
Published by SIAM - Society for Industrial and Applied Mathematics, 2019
ISBN 10: 161197559X ISBN 13: 9781611975598
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 SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10: 1611976561 ISBN 13: 9781611976564
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by SIAM - Society for Industrial and Applied Mathematics, 2019
ISBN 10: 161197559X ISBN 13: 9781611975598
Language: English
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Published by SIAM - Society for Industrial and Applied Mathematics, 2019
ISBN 10: 161197559X ISBN 13: 9781611975598
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
Seller: Rarewaves.com UK, London, United Kingdom
Paperback. 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 Emerald Group Publishing Limited, 1982
ISBN 10: 0122839528 ISBN 13: 9780122839528
Language: English
Seller: BennettBooksLtd, North Las Vegas, NV, U.S.A.
£ 71.96
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Add to basketpaperback. Condition: New. In shrink wrap. Looks like an interesting title!
Published by Society for Industrial & Applied Mathematics,U.S., 2021
ISBN 10: 1611976561 ISBN 13: 9781611976564
Language: English
Seller: moluna, Greven, Germany
£ 83.03
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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 SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10: 1611976561 ISBN 13: 9781611976564
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Society for Industrial and Applied Mathematics,U.S., US, 2019
ISBN 10: 161197559X ISBN 13: 9781611975598
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: New. In the intervening years since this book was published in 1981, the field of optimization has been exceptionally lively. This fertility has involved not only progress in theory, but also faster numerical algorithms and extensions into unexpected or previously unknown areas such as semidefinite programming. Despite these changes, many of the important principles and much of the intuition can be found in this Classics version of Practical Optimization.This book provides model algorithms and pseudocode, useful tools for users who prefer to write their own code as well as for those who want to understand externally provided code. It presents algorithms in a step-by-step format, revealing the overall structure of the underlying procedures and thereby allowing a high-level perspective on the fundamental differences. And it contains a wealth of techniques and strategies that are well suited for optimization in the twenty-first century, and particularly in the now-flourishing fields of data science, "big data," and machine learning. Practical Optimization is appropriate for advanced undergraduates, graduate students, and researchers interested in methods for solving optimization problems.
Published by Society for Industrial and Applied Mathematics,U.S., US, 2021
ISBN 10: 1611976561 ISBN 13: 9781611976564
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. 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.