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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Condition: As New. Unread book in perfect condition.
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Modern Optimization Methods for Decision Making Under Risk and Uncertainty
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Modern Optimization Methods for Decision Making Under Risk and Uncertainty
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Modern Optimization Methods for Decision Making Under Risk and Uncertainty
Language: English
Published by Taylor & Francis Ltd, 2025
ISBN 10: 1032196432 ISBN 13: 9781032196435
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Modern Optimization Methods for Decision Making Under Risk and Uncertainty
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 73.29
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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Paperback. Condition: Brand New. 388 pages. 9.18x6.12x9.21 inches. In Stock.
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International EditionMODERN OPTIMIZATION METHODS FOR DECISION MAKING UNDER RISK AND UNCERTAINTY (PB 2025)
Language: English
Published by TAYLOR & FRANCIS NP EXCLUSIVE(CBS), 2025
ISBN 10: 1032196432 ISBN 13: 9781032196435
Condition: New. Brand New ! Fast Delivery "International Edition " and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Condition: As New. Unread book in perfect condition.
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Modern Optimization Methods for Decision Making Under Risk and Uncertainty
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Modern Optimization Methods for Decision Making Under Risk and Uncertainty
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Modern Optimization Methods For Decision Making Under Risk And Uncertainty (Pb 2025),
Language: English
Published by Taylor & Francis Np Exclusive(Cbs),, 2025
N.A. Condition: New. ISBN:9781032196435.
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Modern Optimization Methods for Decision Making Under Risk and Uncertainty (Paperback)
Language: English
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032196432 ISBN 13: 9781032196435
Paperback. Condition: new. Paperback. The book comprises original articles on topical issues of risk theory, rational decision making, statistical decisions, and control of stochastic systems. The articles are the outcome of a series international projects involving the leading scholars in the field of modern stochastic optimization and decision making. The structure of stochastic optimization solvers is described. The solvers in general implement stochastic quasi-gradient methods for optimization and identification of complex nonlinear models. These models constitute an important methodology for finding optimal decisions under risk and uncertainty. While a large part of current approaches towards optimization under uncertainty stems from linear programming (LP) and often results in large LPs of special structure, stochastic quasi-gradient methods confront nonlinearities directly without need of linearization. This makes them an appropriate tool for solving complex nonlinear problems, concurrent optimization and simulation models, and equilibrium situations of different types, for instance, Nash or Stackelberg equilibrium situations. The solver finds the equilibrium solution when the optimization model describes the system with several actors. The solver is parallelizable, performing several simulation threads in parallel. It is capable of solving stochastic optimization problems, finding stochastic Nash equilibria, and of composite stochastic bilevel problems where each level may require the solution of stochastic optimization problem or finding Nash equilibrium. Several complex examples with applications to water resources management, energy markets, pricing of services on social networks are provided. In the case of power system, regulator makes decision on the final expansion plan, considering the strategic behavior of regulated companies and coordinating the interests of different economic entities. Such a plan can be an equilibrium a planned decision where a company cannot increase its expected gain unilaterally. The book comprises original articles on topical issues in risk theory, rational decision making, statistical decisions, and control of stochastic systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Modern Optimization Methods for Decision Making Under Risk and Uncertainty
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
£ 74.58
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Modern Optimization Methods for Decision Making Under Risk and Uncertainty (Paperback)
Language: English
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032196432 ISBN 13: 9781032196435
Paperback. Condition: new. Paperback. The book comprises original articles on topical issues of risk theory, rational decision making, statistical decisions, and control of stochastic systems. The articles are the outcome of a series international projects involving the leading scholars in the field of modern stochastic optimization and decision making. The structure of stochastic optimization solvers is described. The solvers in general implement stochastic quasi-gradient methods for optimization and identification of complex nonlinear models. These models constitute an important methodology for finding optimal decisions under risk and uncertainty. While a large part of current approaches towards optimization under uncertainty stems from linear programming (LP) and often results in large LPs of special structure, stochastic quasi-gradient methods confront nonlinearities directly without need of linearization. This makes them an appropriate tool for solving complex nonlinear problems, concurrent optimization and simulation models, and equilibrium situations of different types, for instance, Nash or Stackelberg equilibrium situations. The solver finds the equilibrium solution when the optimization model describes the system with several actors. The solver is parallelizable, performing several simulation threads in parallel. It is capable of solving stochastic optimization problems, finding stochastic Nash equilibria, and of composite stochastic bilevel problems where each level may require the solution of stochastic optimization problem or finding Nash equilibrium. Several complex examples with applications to water resources management, energy markets, pricing of services on social networks are provided. In the case of power system, regulator makes decision on the final expansion plan, considering the strategic behavior of regulated companies and coordinating the interests of different economic entities. Such a plan can be an equilibrium a planned decision where a company cannot increase its expected gain unilaterally. The book comprises original articles on topical issues in risk theory, rational decision making, statistical decisions, and control of stochastic systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book comprises original articles on topical issues in risk theory, rational decision making, statistical decisions, and control of stochastic systems.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Alexei A. Gaivoronski obtained Master and PhD degrees in operations research from Moscow University of Physics and Technology (1977 and 1980). His research interests are optimization under uncertainty, risk management, information econom.
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Condition: New. PRINT ON DEMAND.
