Verlag: SIAM Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611976987 ISBN 13: 9781611976984
Sprache: Englisch
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Verlag: SIAM-Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611976987 ISBN 13: 9781611976984
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Verlag: SIAM-Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611976987 ISBN 13: 9781611976984
Sprache: Englisch
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Verlag: SIAM-Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611976987 ISBN 13: 9781611976984
Sprache: Englisch
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Verlag: SIAM-Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611976987 ISBN 13: 9781611976984
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Verlag: Society For Industrial & Applied Mathematics,U.S., 2022
ISBN 10: 1611976987 ISBN 13: 9781611976984
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Verlag: SIAM-Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611976987 ISBN 13: 9781611976984
Sprache: Englisch
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Verlag: SIAM-Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611976987 ISBN 13: 9781611976984
Sprache: Englisch
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Verlag: SIAM-Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611976987 ISBN 13: 9781611976984
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Verlag: Society for Industrial and Applied Mathematics,U.S., US, 2022
ISBN 10: 1611976987 ISBN 13: 9781611976984
Sprache: Englisch
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In den WarenkorbHardback. Zustand: New. One of the most popular ways to assess the "effort" needed to solve a problem is to count how many evaluations of the problem functions (and their derivatives) are required. In many cases, this is often the dominating computational cost. Given an optimization problem satisfying reasonable assumptions-and given access to problem-function values and derivatives of various degrees-how many evaluations might be required to approximately solve the problem? Evaluation Complexity of Algorithms for Nonconvex Optimization: Theory, Computation, and Perspectives addresses this question for nonconvex optimization problems, those that may have local minimizers and appear most often in practice. This is the first bookon complexity to cover topics such as composite and constrained optimization, derivative-free optimization, subproblem solution, and optimal (lower and sharpness) bounds for nonconvex problems,to address the disadvantages of traditional optimality measures and propose useful surrogates leading to algorithms that compute approximate high-order critical points, and to compare traditional and new methods, highlighting the advantages of the latter from a complexity point of view.This is the go-to book for those interested in solving nonconvex problems. It is suitable for advanced undergraduate and graduate students in courses on Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory.
Verlag: SIAM-Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611976987 ISBN 13: 9781611976984
Sprache: Englisch
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Verlag: Society for Industrial & Applied Mathematics,U.S., 2022
ISBN 10: 1611976987 ISBN 13: 9781611976984
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Zustand: New. The first book on complexity to cover topics such as composite and constrained optimization, derivative-free optimization, subproblem solution, and optimal (lower and sharpness) bounds for nonconvex problems, and to address the disadvantages of traditional .
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Zustand: New. pp. 364.
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In den WarenkorbZustand: New. pp. 364 54 Illus.
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Verlag: Society for Industrial and Applied Mathematics,U.S., US, 2022
ISBN 10: 1611976987 ISBN 13: 9781611976984
Sprache: Englisch
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In den WarenkorbHardback. Zustand: New. One of the most popular ways to assess the "effort" needed to solve a problem is to count how many evaluations of the problem functions (and their derivatives) are required. In many cases, this is often the dominating computational cost. Given an optimization problem satisfying reasonable assumptions-and given access to problem-function values and derivatives of various degrees-how many evaluations might be required to approximately solve the problem? Evaluation Complexity of Algorithms for Nonconvex Optimization: Theory, Computation, and Perspectives addresses this question for nonconvex optimization problems, those that may have local minimizers and appear most often in practice. This is the first bookon complexity to cover topics such as composite and constrained optimization, derivative-free optimization, subproblem solution, and optimal (lower and sharpness) bounds for nonconvex problems,to address the disadvantages of traditional optimality measures and propose useful surrogates leading to algorithms that compute approximate high-order critical points, and to compare traditional and new methods, highlighting the advantages of the latter from a complexity point of view.This is the go-to book for those interested in solving nonconvex problems. It is suitable for advanced undergraduate and graduate students in courses on Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory.
Verlag: Society for Industrial & Applied, 2000
ISBN 10: 0898714605 ISBN 13: 9780898714609
Sprache: Englisch
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbHardcover. Zustand: Brand New. 959 pages. 10.00x7.00x2.00 inches. In Stock.
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Verlag: Springer Berlin Heidelberg, 2010
ISBN 10: 3642084281 ISBN 13: 9783642084287
Sprache: Englisch
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Verlag: Springer Berlin Heidelberg, 1998
ISBN 10: 3540646523 ISBN 13: 9783540646525
Sprache: Englisch
Anbieter: moluna, Greven, Deutschland
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