9780691091549 - Algorithms for Worst-Case Design and Applications to Risk Management de Rustem, Berc; Howe, Melendres (22 resultados)

hardcover. Condición: Very Good. Algorithms for Worst-Case Design and Applications to Risk Management This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.

hardcover. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

Hardcover. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

hardcover. Condición: Very Good. This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.

Hardcover. Condición: Fine. This book emphasizes the importance of robust decision-making in risk management, offering concepts and algorithms to determine the best decisions under worst-case scenarios. Utilizing the minimax approach, it ensures robust policies with optimal performance, which can improve if the worst-case does not occur. While the examples are primarily from finance, the algorithms and design principles are applicable across various fields, including economic policy and engineering.The discussion on worst-case design extends beyond extreme uncertainties, as identifying the worst case can be complex with numerous plausible rival scenarios. Optimality is assessed not on a single scenario but across all considered scenarios, ensuring guaranteed performance within the defined uncertainty range. The minimax solutions are noninferior and can yield multiple maxima, reinforcing their optimality.This approach does not aim to replace expected value optimization in stochastic uncertainties but rather complements it. Effective decision-making necessitates justifying policies based on expected values while considering worst-case scenarios. Additionally, the trade-off between the assured performance of robust decision-making and optimal expected values needs careful evaluation.Targeted at postgraduate students and researchers in optimization, engineering design, economics, and finance, this book is also a valuable resource for practitioners in r.

Hardcover. First Edition, First Printing. Octavo, xi, xv, 389 pages. In Very Good condition with a Very Good minus dust jacket. Spine pictorial gray/pink with red and white lettering. Exterior has slight shelf wear including few scratches/scuffs and slight edge wear. Previous bookshop's sticker to the rear. Boards have minimal wear. Text block has very faint wear to the edges. Illustrated. First edition, first printing. NOTE: Shelved in Netdesk Column M, ND-M. 1385268. FP New Rockville Stock.

Condición: new.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New. 2002. Hardcover. . . . . .

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Hardback. Condición: New. Recognizing that robust decision making is vital in risk management, this book provides concepts and algorithms for computing the best decision in view of the worst-case scenario. The main tool used is minimax, which ensures robust policies with guaranteed optimal performance that will improve further if the worst case is not realized. The applications considered are drawn from finance, but the design and algorithms presented are equally applicable to problems of economic policy, engineering design, and other areas of decision making. Critically, worst-case design addresses not only Armageddon-type uncertainty. Indeed, the determination of the worst case becomes nontrivial when faced with numerous--possibly infinite--and reasonably likely rival scenarios. Optimality does not depend on any single scenario but on all the scenarios under consideration. Worst-case optimal decisions provide guaranteed optimal performance for systems operating within the specified scenario range indicating the uncertainty. The noninferiority of minimax solutions--which also offer the possibility of multiple maxima--ensures this optimality.Worst-case design is not intended to necessarily replace expected value optimization when the underlying uncertainty is stochastic. However, wise decision making requires the justification of policies based on expected value optimization in view of the worst-case scenario. Conversely, the cost of the assured performance provided by robust worst-case decision making needs to be evaluated relative to optimal expected values. Written for postgraduate students and researchers engaged in optimization, engineering design, economics, and finance, this book will also be invaluable to practitioners in risk management.

Condición: New. 2002. Hardcover. . . . . . Books ship from the US and Ireland.

Hardback. Condición: New. Recognizing that robust decision making is vital in risk management, this book provides concepts and algorithms for computing the best decision in view of the worst-case scenario. The main tool used is minimax, which ensures robust policies with guaranteed optimal performance that will improve further if the worst case is not realized. The applications considered are drawn from finance, but the design and algorithms presented are equally applicable to problems of economic policy, engineering design, and other areas of decision making. Critically, worst-case design addresses not only Armageddon-type uncertainty. Indeed, the determination of the worst case becomes nontrivial when faced with numerous--possibly infinite--and reasonably likely rival scenarios. Optimality does not depend on any single scenario but on all the scenarios under consideration. Worst-case optimal decisions provide guaranteed optimal performance for systems operating within the specified scenario range indicating the uncertainty. The noninferiority of minimax solutions--which also offer the possibility of multiple maxima--ensures this optimality.Worst-case design is not intended to necessarily replace expected value optimization when the underlying uncertainty is stochastic. However, wise decision making requires the justification of policies based on expected value optimization in view of the worst-case scenario. Conversely, the cost of the assured performance provided by robust worst-case decision making needs to be evaluated relative to optimal expected values. Written for postgraduate students and researchers engaged in optimization, engineering design, economics, and finance, this book will also be invaluable to practitioners in risk management.

Hardcover. Condición: Brand New. 408 pages. 9.50x6.75x1.25 inches. In Stock.

hardcover. Condición: As New. This item is printed on demand.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Recognizing that robust decision making is vital in risk management, this book provides concepts and algorithms for computing the best decision in view of the worst-case scenario. The main tool used is minimax, which ensures robust policies with guaranteed .

Hardcover. Condición: Brand New. 408 pages. 9.50x6.75x1.25 inches. In Stock. This item is printed on demand.

Buch. Condición: Neu. Algorithms for Worst-Case Design and Applications to Risk Management | Berç Rustem (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2002 | Princeton University Press | EAN 9780691091549 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Recognizing that robust decision making is vital in risk management, this book provides concepts and algorithms for computing the best decision in view of the worst-case scenario. The main tool used is minimax, which ensures robust policies with guaranteed optimal performance that will improve further if the worst case is not realized. The applications considered are drawn from finance, but the design and algorithms presented are equally applicable to problems of economic policy, engineering design, and other areas of decision making.Critically, worst-case design addresses not only Armageddon-type uncertainty. Indeed, the determination of the worst case becomes nontrivial when faced with numerous--possibly infinite--and reasonably likely rival scenarios. Optimality does not depend on any single scenario but on all the scenarios under consideration. Worst-case optimal decisions provide guaranteed optimal performance for systems operating within the specified scenario range indicating the uncertainty. The noninferiority of minimax solutions--which also offer the possibility of multiple maxima--ensures this optimality.Worst-case design is not intended to necessarily replace expected value optimization when the underlying uncertainty is stochastic. However, wise decision making requires the justification of policies based on expected value optimization in view of the worst-case scenario. Conversely, the cost of the assured performance provided by robust worst-case decision making needs to be evaluated relative to optimal expected values.Written for postgraduate students and researchers engaged in optimization, engineering design, economics, and finance, this book will also be invaluable to practitioners in risk management.