{"product_id":"deterministic-and-stochastic-optimal-control-classic-reference","title":"Deterministic and Stochastic Optimal Control - Classic Reference","description":"\u003cp\u003eIn this review of Deterministic and Stochastic Optimal Control the reviewer finds a dense, reference-grade work best suited to advanced students and practitioners who need rigorous foundations for applied problems. The single biggest reason to buy is that the text collects classic results linking optimal control theory to modern applications in mathematical finance, and the reprint makes those results accessible again. This review highlights clarity of presentation and the book's lasting relevance rather than introductory pedagogy.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eClassic reference:\u003c\/strong\u003e The book gathers foundational results in optimal control that remain relevant for contemporary mathematical finance and applied probability.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRigorous treatment:\u003c\/strong\u003e Readers gain precise formulations and proofs that support research or technical implementation in stochastic control problems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eReprinted edition:\u003c\/strong\u003e Being reprinted makes enduring material available to libraries and professionals who need a reliable source of established results.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eApplied orientation:\u003c\/strong\u003e The connection to mathematical finance means readers can map theoretical results to models used in pricing, hedging, and risk analysis.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eConcise description:\u003c\/strong\u003e The publisher note emphasizes why the material matters today, offering buyers a clear expectation of advanced mathematical content.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eWho It's For\u003c\/h2\u003e\u003cp\u003eDeterministic and Stochastic Optimal Control is aimed at graduate students, researchers, and quantitative professionals who already have a grounding in probability and control theory and who need a compact, authoritative reference. It suits those working on stochastic modelling, applied probability, or financial engineering who want rigorous statements and proofs rather than a gentle textbook introduction.\u003c\/p\u003e\u003cp\u003eThose seeking a beginner textbook with step-by-step tutorials, extensive exercises, or a slow, example-driven pedagogy should look elsewhere; the book is best used alongside coursework or as a researcher reference rather than as a first learning resource.\u003c\/p\u003e\u003ch2\u003ePros \u0026amp; Cons\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003ePros\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eCollects established optimal control results in one place, saving time searching the literature.\u003c\/li\u003e\n\u003cli\u003eStrong emphasis on rigor makes it useful for research and precise technical work.\u003c\/li\u003e\n\u003cli\u003eRelevant to applications in \u003cstrong\u003emathematical finance\u003c\/strong\u003e, providing bridges from theory to practice.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eCons\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\u003cli\u003eThe presentation is compact and assumes prior knowledge, which limits accessibility for beginners.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eTitle\u003c\/td\u003e\n\u003ctd\u003eDeterministic and Stochastic Optimal Control\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSeries\u003c\/td\u003e\n\u003ctd\u003eStochastic Modelling and Applied Probability\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAuthors\u003c\/td\u003e\n\u003ctd\u003eRaymond W. Rishel and Wendell Helms Fleming\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEdition\u003c\/td\u003e\n\u003ctd\u003eReprint of classic work\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMain focus\u003c\/td\u003e\n\u003ctd\u003eOptimal control theory with applications to mathematical finance\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eIntended audience\u003c\/td\u003e\n\u003ctd\u003eGraduate students, researchers, quantitative professionals\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch2\u003eOur Verdict\u003c\/h2\u003e\u003cp\u003eDeterministic and Stochastic Optimal Control is a worthwhile buy for those needing a concise, rigorous reference linking optimal control to modern applied problems, especially in mathematical finance. It offers strong value for researchers and practitioners who prioritize authoritative results over tutorial learning, but beginners should supplement it with more introductory material.\u003c\/p\u003e\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eIs this book suitable for beginners?\u003c\/strong\u003e\u003cbr\u003eNo. It assumes prior familiarity with probability and control theory and works best as a reference or companion to graduate coursework.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eDoes the reprint update the content?\u003c\/strong\u003e\u003cbr\u003eThe reprint makes the classic results available again but focuses on preserving the original material rather than modern rewrites.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWill it help with financial modelling?\u003c\/strong\u003e\u003cbr\u003eYes. The book explains control results that have found applications in mathematical finance and can inform model development and theoretical analysis.\u003c\/p\u003e","brand":"Raymond W. RishelWendell Helms Fleming","offers":[{"title":"Default Title","offer_id":48244744913115,"sku":"1461263824","price":165.97,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0724\/1043\/1707\/files\/6177dt9kwiL._SL1254.jpg?v=1771009409","url":"https:\/\/gearmusthave.com\/products\/deterministic-and-stochastic-optimal-control-classic-reference","provider":"GearMustHave","version":"1.0","type":"link"}