2010, ISBN: 3642097200

[EAN: 9783642097201], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], FUZZINESS; OPERATIONSRESEARCH; ROBUSTNMAX; ALGORITHM; ALGORITHMS; COMBINATORIALOPTIMIZATION, Druck auf Anfrage … Meer...

[EAN: 9783642097201], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], FUZZINESS; OPERATIONSRESEARCH; ROBUSTNMAX; ALGORITHM; ALGORITHMS; COMBINATORIALOPTIMIZATION, 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. 236 pp. Englisch, Books<

2010, ISBN: 3642097200

[EAN: 9783642097201], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], FUZZINESS; OPERATIONSRESEARCH; ROBUSTNMAX; ALGORITHM; ALGORITHMS; COMBINATORIALOPTIMIZATION, Druck auf Anfrage … Meer...

[EAN: 9783642097201], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], FUZZINESS; OPERATIONSRESEARCH; ROBUSTNMAX; ALGORITHM; ALGORITHMS; COMBINATORIALOPTIMIZATION, Druck auf Anfrage 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, Books<

2010, ISBN: 3642097200

[EAN: 9783642097201], Neubuch, [PU: Springer Berlin Heidelberg], FUZZINESS; OPERATIONSRESEARCH; ROBUSTNMAX; ALGORITHM; ALGORITHMS; COMBINATORIALOPTIMIZATION, Druck auf Anfrage Neuware - O… Meer...

[EAN: 9783642097201], Neubuch, [PU: Springer Berlin Heidelberg], FUZZINESS; OPERATIONSRESEARCH; ROBUSTNMAX; ALGORITHM; ALGORITHMS; COMBINATORIALOPTIMIZATION, Druck auf Anfrage 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, Books<

2010, ISBN: 9783642097201

pocketboek

[ED: Kartoniert / Broschiert], [PU: Springer Berlin Heidelberg], Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Novel research results in… Meer...

[ED: Kartoniert / Broschiert], [PU: Springer Berlin Heidelberg], 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 knowledgeOpe, DE, [SC: 0.00], Neuware, gewerbliches Angebot, Softcover, 220, [GW: 367g], 1. Auflage, Banküberweisung, PayPal<

2008, ISBN: 9783642097201

Springer Berlin Heidelberg, 2008. Paperback. New. 236 pages., Springer Berlin Heidelberg, 2008, 6