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Verlag: SIAM-Society for Industrial and Applied Mathematicsq (edition ), 2017
ISBN 10: 1611974984 ISBN 13: 9781611974980
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Verlag: MP-SIA SIAM - Society for Industrial and Applied M, 2017
ISBN 10: 1611974984 ISBN 13: 9781611974980
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Verlag: SIAM-Society for Industrial and Applied Mathematicsq, 2017
ISBN 10: 1611974984 ISBN 13: 9781611974980
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Verlag: SIAM-Society for Industrial and Applied Mathematicsq, 2017
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Sprache: Englisch
Verlag: SIAM - Society for Industrial and Applied Mathematics, 2017
ISBN 10: 1611974984 ISBN 13: 9781611974980
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ISBN 10: 1611974984 ISBN 13: 9781611974980
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In den WarenkorbPaperback. Zustand: New. The primary goal of this book is to provide a self-contained, comprehensive study of the main ?rst-order methods that are frequently used in solving large-scale problems. First-order methods exploit information on values and gradients/subgradients (but not Hessians) of the functions composing the model under consideration. With the increase in the number of applications that can be modeled as large or even huge-scale optimization problems, there has been a revived interest in using simple methods that require low iteration cost as well as low memory storage.The author has gathered, reorganized, and synthesized (in a unified manner) many results that are currently scattered throughout the literature, many of which cannot be typically found in optimization books.First-Order Methods in Optimization offers comprehensive study of first-order methods with the theoretical foundations; provides plentiful examples and illustrations; emphasizes rates of convergence and complexity analysis of the main first-order methods used to solve large-scale problems; and covers both variables and functional decomposition methods.
Sprache: Englisch
Verlag: SIAM-Society for Industrial and Applied Mathematicsq, 2017
ISBN 10: 1611974984 ISBN 13: 9781611974980
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Verlag: SIAM - Society for Industrial and Applied Mathematics, 2017
ISBN 10: 1611974984 ISBN 13: 9781611974980
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Verlag: Society for Industrial & Applied Mathematics,U.S., 2017
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Sprache: Englisch
Verlag: Society for Industrial and Applied Mathematics,U.S., US, 2017
ISBN 10: 1611974984 ISBN 13: 9781611974980
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In den WarenkorbPaperback. Zustand: New. The primary goal of this book is to provide a self-contained, comprehensive study of the main ?rst-order methods that are frequently used in solving large-scale problems. First-order methods exploit information on values and gradients/subgradients (but not Hessians) of the functions composing the model under consideration. With the increase in the number of applications that can be modeled as large or even huge-scale optimization problems, there has been a revived interest in using simple methods that require low iteration cost as well as low memory storage.The author has gathered, reorganized, and synthesized (in a unified manner) many results that are currently scattered throughout the literature, many of which cannot be typically found in optimization books.First-Order Methods in Optimization offers comprehensive study of first-order methods with the theoretical foundations; provides plentiful examples and illustrations; emphasizes rates of convergence and complexity analysis of the main first-order methods used to solve large-scale problems; and covers both variables and functional decomposition methods.