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Editore: Springer, 2010
ISBN 10: 3642097200ISBN 13: 9783642097201
Da: booksXpress, Bayonne, NJ, U.S.A.
Libro
Soft Cover. Condizione: new.
Editore: Springer, 2008
ISBN 10: 3540784837ISBN 13: 9783540784838
Da: booksXpress, Bayonne, NJ, U.S.A.
Libro
Hardcover. Condizione: new.
Editore: Springer, 2010
ISBN 10: 3642097200ISBN 13: 9783642097201
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Libro
Condizione: New.
Editore: Springer, 2008
ISBN 10: 3540784837ISBN 13: 9783540784838
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Libro
Condizione: New.
Editore: Springer, 2008
ISBN 10: 3540784837ISBN 13: 9783540784838
Da: Ria Christie Collections, Uxbridge, Regno Unito
Libro Print on Demand
Condizione: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Editore: Springer Berlin Heidelberg Nov 2010, 2010
ISBN 10: 3642097200ISBN 13: 9783642097201
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Libro Print on Demand
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Operations research often solves deterministic optimization problems based on elegantand conciserepresentationswhereall parametersarepreciselyknown. In the face of uncertainty, probability theory is the traditional tool to be appealed for, and stochastic optimization is actually a signi cant sub-area in operations research. However, the systematic use of prescribed probability distributions so as to cope with imperfect data is partially unsatisfactory. First, going from a deterministic to a stochastic formulation, a problem may becomeintractable. Agoodexampleiswhengoingfromdeterministictostoch- tic scheduling problems like PERT. From the inception of the PERT method in the 1950's, it was acknowledged that data concerning activity duration times is generally not perfectly known and the study of stochastic PERT was launched quite early. Even if the power of today's computers enables the stochastic PERT to be addressed to a large extent, still its solutions often require simplifying assumptions of some kind. Another di culty is that stochastic optimization problems produce solutions in the average. For instance, the criterion to be maximized is more often than not expected utility. This is not always a meaningful strategy. In the case when the underlying process is not repeated a lot of times, let alone being one-shot, it is not clear if this criterion is realistic, in particular if probability distributions are subjective. Expected utility was proposed as a rational criterion from rst principles by Savage. In his view, the subjective probability distribution was - sically an artefact useful to implement a certain ordering of solutions. 236 pp. Englisch.
Editore: Springer Berlin Heidelberg Jun 2008, 2008
ISBN 10: 3540784837ISBN 13: 9783540784838
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Libro Print on Demand
Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Operations research often solves deterministic optimization problems based on elegantand conciserepresentationswhereall parametersarepreciselyknown. In the face of uncertainty, probability theory is the traditional tool to be appealed for, and stochastic optimization is actually a signi cant sub-area in operations research. However, the systematic use of prescribed probability distributions so as to cope with imperfect data is partially unsatisfactory. First, going from a deterministic to a stochastic formulation, a problem may becomeintractable. Agoodexampleiswhengoingfromdeterministictostoch- tic scheduling problems like PERT. From the inception of the PERT method in the 1950's, it was acknowledged that data concerning activity duration times is generally not perfectly known and the study of stochastic PERT was launched quite early. Even if the power of today's computers enables the stochastic PERT to be addressed to a large extent, still its solutions often require simplifying assumptions of some kind. Another di culty is that stochastic optimization problems produce solutions in the average. For instance, the criterion to be maximized is more often than not expected utility. This is not always a meaningful strategy. In the case when the underlying process is not repeated a lot of times, let alone being one-shot, it is not clear if this criterion is realistic, in particular if probability distributions are subjective. Expected utility was proposed as a rational criterion from rst principles by Savage. In his view, the subjective probability distribution was - sically an artefact useful to implement a certain ordering of solutions. 236 pp. Englisch.
Editore: Springer Berlin, 2008
ISBN 10: 3540784837ISBN 13: 9783540784838
Da: Buchpark, Trebbin, Germania
Libro
Condizione: Sehr gut. 2008. Neubindung, Buchecken leicht angestossen 4294698/12.
Editore: Springer, 2008
ISBN 10: 3540784837ISBN 13: 9783540784838
Da: Books Puddle, New York, NY, U.S.A.
Libro
Condizione: New. pp. 240.
Editore: Springer, 2008
ISBN 10: 3540784837ISBN 13: 9783540784838
Da: California Books, Miami, FL, U.S.A.
Libro
Condizione: New.
Editore: Springer Berlin Heidelberg, 2008
ISBN 10: 3540784837ISBN 13: 9783540784838
Da: moluna, Greven, Germania
Libro Print on Demand
Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Novel research results in the field of Discrete Optimization with Interval DataPresents a new approach (robust optimization) to modeling incomplete knowledgeOperations research often solves deterministic optimization problems based on eleg.
Editore: Springer Berlin Heidelberg, 2010
ISBN 10: 3642097200ISBN 13: 9783642097201
Da: moluna, Greven, Germania
Libro Print on Demand
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Novel research results in the field of Discrete Optimization with Interval DataPresents a new approach (robust optimization) to modeling incomplete knowledgeOperations research often solves deterministic optimization problems based on eleg.
Editore: Springer Berlin Heidelberg, 2010
ISBN 10: 3642097200ISBN 13: 9783642097201
Da: AHA-BUCH GmbH, Einbeck, Germania
Libro
Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Operations research often solves deterministic optimization problems based on elegantand conciserepresentationswhereall parametersarepreciselyknown. In the face of uncertainty, probability theory is the traditional tool to be appealed for, and stochastic optimization is actually a signi cant sub-area in operations research. However, the systematic use of prescribed probability distributions so as to cope with imperfect data is partially unsatisfactory. First, going from a deterministic to a stochastic formulation, a problem may becomeintractable. Agoodexampleiswhengoingfromdeterministictostoch- tic scheduling problems like PERT. From the inception of the PERT method in the 1950's, it was acknowledged that data concerning activity duration times is generally not perfectly known and the study of stochastic PERT was launched quite early. Even if the power of today's computers enables the stochastic PERT to be addressed to a large extent, still its solutions often require simplifying assumptions of some kind. Another di culty is that stochastic optimization problems produce solutions in the average. For instance, the criterion to be maximized is more often than not expected utility. This is not always a meaningful strategy. In the case when the underlying process is not repeated a lot of times, let alone being one-shot, it is not clear if this criterion is realistic, in particular if probability distributions are subjective. Expected utility was proposed as a rational criterion from rst principles by Savage. In his view, the subjective probability distribution was - sically an artefact useful to implement a certain ordering of solutions.
Editore: Springer Berlin Heidelberg, 2008
ISBN 10: 3540784837ISBN 13: 9783540784838
Da: AHA-BUCH GmbH, Einbeck, Germania
Libro
Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Operations research often solves deterministic optimization problems based on elegantand conciserepresentationswhereall parametersarepreciselyknown. In the face of uncertainty, probability theory is the traditional tool to be appealed for, and stochastic optimization is actually a signi cant sub-area in operations research. However, the systematic use of prescribed probability distributions so as to cope with imperfect data is partially unsatisfactory. First, going from a deterministic to a stochastic formulation, a problem may becomeintractable. Agoodexampleiswhengoingfromdeterministictostoch- tic scheduling problems like PERT. From the inception of the PERT method in the 1950's, it was acknowledged that data concerning activity duration times is generally not perfectly known and the study of stochastic PERT was launched quite early. Even if the power of today's computers enables the stochastic PERT to be addressed to a large extent, still its solutions often require simplifying assumptions of some kind. Another di culty is that stochastic optimization problems produce solutions in the average. For instance, the criterion to be maximized is more often than not expected utility. This is not always a meaningful strategy. In the case when the underlying process is not repeated a lot of times, let alone being one-shot, it is not clear if this criterion is realistic, in particular if probability distributions are subjective. Expected utility was proposed as a rational criterion from rst principles by Savage. In his view, the subjective probability distribution was - sically an artefact useful to implement a certain ordering of solutions.
Editore: Springer Berlin Heidelberg, 2008
ISBN 10: 3642097200ISBN 13: 9783642097201
Da: Revaluation Books, Exeter, Regno Unito
Libro
Paperback. Condizione: Brand New. 236 pages. 9.25x6.10x0.54 inches. In Stock.
Editore: Springer, 2008
ISBN 10: 3540784837ISBN 13: 9783540784838
Da: Majestic Books, Hounslow, Regno Unito
Libro
Condizione: New. pp. 240 70 Illus.
Editore: Springer, 2010
ISBN 10: 3642097200ISBN 13: 9783642097201
Da: Ria Christie Collections, Uxbridge, Regno Unito
Libro Print on Demand
Condizione: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Editore: Springer, 2010
ISBN 10: 3642097200ISBN 13: 9783642097201
Da: Mispah books, Redhill, SURRE, Regno Unito
Libro
Paperback. Condizione: Like New. Like New. book.
Editore: Springer, 2008
ISBN 10: 3540784837ISBN 13: 9783540784838
Da: Mispah books, Redhill, SURRE, Regno Unito
Libro
Hardcover. Condizione: Like New. Like New. book.