Dentcheva Darinka (44 results)

HARDCOVER. Condition: Very Good. 2nd Edition. Small quarto hardcover with pictorial boards; 494 pp. Tight binding, clean throughout; sharp corners. Very minor wear to spine; one 4 inch indent (appears to be pen indent, no ink) to rear board. Very Good. MOS-SIAM Series on Optimization.

Condition: Acceptable. Readable, but has significant damage / tears. Has a remainder mark. hardcover Used - Acceptable 2024.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: Brand New. 132 pages. 8.66x5.91x0.30 inches. In Stock.

Condition: New.

Hardcover. Condition: Brand New. 3rd revised edition edition. 527 pages. 10.28x7.40x1.50 inches. In Stock.

Taschenbuch. Condition: Neu. Regular Selections of Multifunctions and Random Sets | Darinka Dentcheva | Taschenbuch | 132 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9783659801242 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Hardback. Condition: New. Third Edition. Lectures on Stochastic Programming: Modeling and Theory, Third Edition covers optimization problems involving uncertain parameters for which stochastic models are available. These problems occur in almost all areas of science and engineering.This substantial revision of the previous edition presents a modern theory of stochastic programming, including expanded coverage of sample complexity, risk measures, and distributionally robust optimization:Chapter 6 is updated and the interchangeability principle for risk measures is discussed in detail.Two new chapters, 'Distributionally Robust Stochastic Programming' (DRSP) and 'Computational Methods' provide readers with a solid understanding of emerging topics.Chapter 8 presents new material on formulation and numerical approaches to solving periodical multistage stochastic programs.This book is written for researchers and graduate students working on theory and applications of optimization.…

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New. Covers optimization problems involving uncertain parameters for which stochastic models are available. These problems occur in almost all areas of science and engineering.

Condition: As New. Unread book in perfect condition.

Condition: New. Third edition NO-PA16APR2015-KAP.

Condition: New. In English.

Condition: New.

Hardback. Condition: New. Third Edition. Lectures on Stochastic Programming: Modeling and Theory, Third Edition covers optimization problems involving uncertain parameters for which stochastic models are available. These problems occur in almost all areas of science and engineering.This substantial revision of the previous edition presents a modern theory of stochastic programming, including expanded coverage of sample complexity, risk measures, and distributionally robust optimization:Chapter 6 is updated and the interchangeability principle for risk measures is discussed in detail.Two new chapters, 'Distributionally Robust Stochastic Programming' (DRSP) and 'Computational Methods' provide readers with a solid understanding of emerging topics.Chapter 8 presents new material on formulation and numerical approaches to solving periodical multistage stochastic programs.This book is written for researchers and graduate students working on theory and applications of optimization.…

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers a comprehensive presentation of the theory and methods of risk-averse optimization and control. Problems of this type arise in finance, energy production and distribution, supply chain management, medicine, and many other areas, where not only the average performance of a stochastic system is essential, but also high-impact and low-probability events must be taken into account. The book is a self-contained presentation of the utility theory, the theory of measures of risk, including systemic and dynamic measures of risk, and their use in optimization and control models. It also covers stochastic dominance relations and their application as constraints in optimization models. Optimality conditions for problems with nondifferentiable and nonconvex functions and operators involving risk measures and stochastic dominance relations are discussed. Much attention is paid to multi-stage risk-averse optimization problems and to risk-averse Markov decision problems.Specialized algorithms for solving risk-averse optimization and control problems are presented and analyzed: stochastic subgradient methods for risk optimization, decomposition methods for dynamic problems, event cut and dual methods for stochastic dominance constraints, and policy iteration methods for control problems.The target audience is researchers and graduate students in the areas of mathematics, business analytics, insurance and finance, engineering, and computer science. The theoretical considerations are illustrated with examples, which make the book useful material for advanced courses in the area. …

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers a comprehensive presentation of the theory and methods of risk-averse optimization and control. Problems of this type arise in finance, energy production and distribution, supply chain management, medicine, and many other areas, where not only the average performance of a stochastic system is essential, but also high-impact and low-probability events must be taken into account. The book is a self-contained presentation of the utility theory, the theory of measures of risk, including systemic and dynamic measures of risk, and their use in optimization and control models. It also covers stochastic dominance relations and their application as constraints in optimization models. Optimality conditions for problems with nondifferentiable and nonconvex functions and operators involving risk measures and stochastic dominance relations are discussed. Much attention is paid to multi-stage risk-averse optimization problems and to risk-averse Markov decision problems.Specialized algorithms for solving risk-averse optimization and control problems are presented and analyzed: stochastic subgradient methods for risk optimization, decomposition methods for dynamic problems, event cut and dual methods for stochastic dominance constraints, and policy iteration methods for control problems.The target audience is researchers and graduate students in the areas of mathematics, business analytics, insurance and finance, engineering, and computer science. The theoretical considerations are illustrated with examples, which make the book useful material for advanced courses in the area. …

Condition: New.

Condition: New. 2024th edition NO-PA16APR2015-KAP.

hardcover. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Hardcover. Condition: Brand New. 466 pages. 9.25x6.10x9.21 inches. In Stock.

hardcover. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The methodology presented in this work yields existence of selections and Castaing representations of these sets that enjoy stability properties. Particularly, work on differential stability of solution sets of two-stage stochastic optimization problems is presented. We identify conditions such that the optimal value function has first- and second-order directional derivatives and the solution-set mapping is directionally differentiable into admissible directions. Moreover, the form of the semi-derivative is identified, and we have given a formula for it. The sensitivity analysis is carried out by exploiting structural properties of the optimization model. We obtain differentiability properties of solution sets and extend earlier results on directional differentiability of optimal values considerably. 132 pp. Englisch.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Dentcheva DarinkaDarinka Dentcheva is a Bulgarian-American mathematician, noted for her contributions to convex analysis, stochastic programming, and risk-averse optimization. She developed the theory of Steiner selections of multifu.…