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Venditore AbeBooks dal 22 novembre 2018
pp. 366. Codice articolo 26374874871
An introduction to the stochastic analysis tools involved in the probabilistic approach to optimization problems, appropriate for graduates and young researchers.
Informazioni sull?autore: René Carmona is the Paul M. Wythes '55 Professor of Engineering and Finance at Princeton University, New Jersey, where he chairs the Department of Operations Research and Financial Engineering. He is an associate member of the Department of Mathematics, a member of the Program in Applied and Computational Mathematics, and a member of the Bendheim Center for Finance, where he oversaw the Master in Finance program for thirteen years. Dr Carmona's publications include over 100 articles and seven books in probability, statistics, and financial mathematics. He was elected Fellow of the Institute of Mathematical Statistics in 1984 and of SIAM in 2009. He is the founding chair of the SIAM Activity Group on Financial Mathematics and Engineering and a founding co-editor of the Electronic Journal of Probability, Electronic Communications in Probability, and the SIAM Journal on Financial Mathematics.
Titolo: Lectures on BSDEs, Stochastic Control, and ...
Casa editrice: Society for Industrial and Applied Mathematics
Data di pubblicazione: 2016
Legatura: Brossura
Condizione: New
Da: Brused Books, Pullman, WA, U.S.A.
Soft cover. Condizione: Near Fine. Inside is like new. No writing or names. Cover has a little wear. Codice articolo 045091
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Da: Scissortail, Oklahoma City, OK, U.S.A.
Condizione: good. This is a pre-loved book that shows moderate signs of wear from previous reading. You may notice creases, edge wear, or a cracked spine, but it remains in solid, readable condition.Please note:-May include library or rental stickers, stamps, or markings.-Supplemental materials e.g., CDs, access codes, inserts are not guaranteed.-Box sets may not come with the original outer box. If it does, the box will not be in perfect condition. -Sourced from donation centers; authenticity not verified with publisher. Your satisfaction is our top priority! If you have any questions or concerns about your order, please don't hesitate to reach out. Thank you for shopping with us and supporting small businessâ"happy reading! Codice articolo STM.GAA
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Da: Toscana Books, AUSTIN, TX, U.S.A.
Paperback. Condizione: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks. Codice articolo Scanned1611974232
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Da: moluna, Greven, Germania
Condizione: New. KlappentextrnrnThe goal of this textbook is to introduce students to the stochastic analysis tools that play an increasing role in the probabilistic approach to optimization problems, including stochastic control and stochastic differential game. Codice articolo 132676157
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Da: Revaluation Books, Exeter, Regno Unito
Paperback. Condizione: Brand New. 275 pages. 10.00x7.00x0.70 inches. In Stock. Codice articolo __1611974232
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Da: PBShop.store UK, Fairford, GLOS, Regno Unito
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo FW-9781611974232
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
Paperback. Condizione: New. New copy - Usually dispatched within 4 working days. Codice articolo B9781611974232
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Da: Rarewaves.com UK, London, Regno Unito
Paperback. Condizione: New. The goal of this textbook is to introduce students to the stochastic analysis tools that play an increasing role in the probabilistic approach to optimization problems, including stochastic control and stochastic differential games. While optimal control is taught in many graduate programs in applied mathematics and operations research, the author was intrigued by the lack of coverage of the theory of stochastic differential games.This is the first title in SIAM's Financial Mathematics book series and is based on the author's lecture notes. It will be helpful to students who are interested in stochastic differential equations (forward, backward, forward-backward); the probabilistic approach to stochastic control (dynamic programming and the stochastic maximum principle); and mean field games and control of McKean-Vlasov dynamics.The theory is illustrated by applications to models of systemic risk, macroeconomic growth, flocking/schooling, crowd behavior, and predatory trading, among others. Codice articolo LU-9781611974232
Quantità: 1 disponibili
Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. Neuware - The goal of this textbook is to introduce students to the stochastic analysis tools that play an increasing role in the probabilistic approach to optimization problems, including stochastic control and stochastic differential games. While optimal control is taught in many graduate programs in applied mathematics and operations research, the author was intrigued by the lack of coverage of the theory of stochastic differential games.This is the first title in SIAM's Financial Mathematics book series and is based on the author's lecture notes. It will be helpful to students who are interested in stochastic differential equations (forward, backward, forward-backward); the probabilistic approach to stochastic control (dynamic programming and the stochastic maximum principle); and mean field games and control of McKean-Vlasov dynamics.The theory is illustrated by applications to models of systemic risk, macroeconomic growth, flocking/schooling, crowd behavior, and predatory trading, among others. Codice articolo 9781611974232
Quantità: 2 disponibili
Da: Rarewaves.com USA, London, LONDO, Regno Unito
Paperback. Condizione: New. The goal of this textbook is to introduce students to the stochastic analysis tools that play an increasing role in the probabilistic approach to optimization problems, including stochastic control and stochastic differential games. While optimal control is taught in many graduate programs in applied mathematics and operations research, the author was intrigued by the lack of coverage of the theory of stochastic differential games.This is the first title in SIAM's Financial Mathematics book series and is based on the author's lecture notes. It will be helpful to students who are interested in stochastic differential equations (forward, backward, forward-backward); the probabilistic approach to stochastic control (dynamic programming and the stochastic maximum principle); and mean field games and control of McKean-Vlasov dynamics.The theory is illustrated by applications to models of systemic risk, macroeconomic growth, flocking/schooling, crowd behavior, and predatory trading, among others. Codice articolo LU-9781611974232
Quantità: 1 disponibili