Sarychev Andrey Albert Shiryaev (28 results)

XIII, 420 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

Condition: New. pp. 436 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.

Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condition: New. pp. 436.

Condition: New. pp. 436.

Condition: New. Brand New! Fast Delivery This is an 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 6-12 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.

Condition: Brand New. Brand New! . "This is an International Edition." Book is In New condition and ship within One Working Day Tracking Number Provided by Customer 12-24 In To Hour, Deliver by FedEx & Aramex, UPS, & USPS Act. Order can be delivered worldwide With In 7-10 Working day Delivery. Ship from India & United States.

Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condition: Sehr gut. Zustand: Sehr gut | Seiten: 420 | Sprache: Englisch | Produktart: Bücher.

Condition: New. In.

Condition: New.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Control theory provides a large set of theoretical and computational tools with applications in a wide range of elds, running from 'pure' branches of mathematics, like geometry, to more applied areas where the objective is to nd solutions to 'real life' problems, as is the case in robotics, control of industrial processes or nance. The 'high tech' character of modern business has increased the need for advanced methods. These rely heavily on mathematical techniques and seem indispensable for competitiveness of modern enterprises. It became essential for the nancial analyst to possess a high level of mathematical skills. C- versely, the complex challenges posed by the problems and models relevant to nance have, for a long time, been an important source of new research topics for mathematicians. The use of techniques from stochastic optimal control constitutes a well established and important branch of mathematical nance. Up to now, other branches of control theory have found comparatively less application in n- cial problems. To some extent, deterministic and stochastic control theories developed as di erent branches of mathematics. However, there are many points of contact between them and in recent years the exchange of ideas between these elds has intensi ed. Some concepts from stochastic calculus (e.g., rough paths) havedrawntheattentionofthedeterministiccontroltheorycommunity.Also, some ideas and tools usual in deterministic control (e.g., geometric, algebraic or functional-analytic methods) can be successfully applied to stochastic c- trol.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Control theory provides a large set of theoretical and computational tools with applications in a wide range of elds, running from 'pure' branches of mathematics, like geometry, to more applied areas where the objective is to nd solutions to 'real life' problems, as is the case in robotics, control of industrial processes or nance. The 'high tech' character of modern business has increased the need for advanced methods. These rely heavily on mathematical techniques and seem indispensable for competitiveness of modern enterprises. It became essential for the nancial analyst to possess a high level of mathematical skills. C- versely, the complex challenges posed by the problems and models relevant to nance have, for a long time, been an important source of new research topics for mathematicians. The use of techniques from stochastic optimal control constitutes a well established and important branch of mathematical nance. Up to now, other branches of control theory have found comparatively less application in n- cial problems. To some extent, deterministic and stochastic control theories developed as di erent branches of mathematics. However, there are many points of contact between them and in recent years the exchange of ideas between these elds has intensi ed. Some concepts from stochastic calculus (e.g., rough paths) havedrawntheattentionofthedeterministiccontroltheorycommunity.Also, some ideas and tools usual in deterministic control (e.g., geometric, algebraic or functional-analytic methods) can be successfully applied to stochastic c- trol.

Gebunden. Condition: New.

Condition: New. In.

Condition: New. pp. 436.

Paperback. Condition: Brand New. 434 pages. 9.21x6.14x0.89 inches. In Stock.

Condition: New.

Condition: New.

Paperback. Condition: Like New. Like New. book.

Hardcover. Condition: Like New. Like New. book.

Condition: new. Questo è un articolo print on demand.

Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Control theory provides a large set of theoretical and computational tools with applications in a wide range of elds, running from 'pure' branches of mathematics, like geometry, to more applied areas where the objective is to nd solutions to 'real life' problems, as is the case in robotics, control of industrial processes or nance. The 'high tech' character of modern business has increased the need for advanced methods. These rely heavily on mathematical techniques and seem indispensable for competitiveness of modern enterprises. It became essential for the nancial analyst to possess a high level of mathematical skills. C- versely, the complex challenges posed by the problems and models relevant to nance have, for a long time, been an important source of new research topics for mathematicians. The use of techniques from stochastic optimal control constitutes a well established and important branch of mathematical nance. Up to now, other branches of control theory have found comparatively less application in n- cial problems. To some extent, deterministic and stochastic control theories developed as di erent branches of mathematics. However, there are many points of contact between them and in recent years the exchange of ideas between these elds has intensi ed. Some concepts from stochastic calculus (e.g., rough paths) havedrawntheattentionofthedeterministiccontroltheorycommunity.Also, some ideas and tools usual in deterministic control (e.g., geometric, algebraic or functional-analytic methods) can be successfully applied to stochastic c- trol. 420 pp. Englisch.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Control theory provides a large set of theoretical and computational tools with applications in a wide range of elds, running from ¿pure¿ branches of mathematics, like geometry, to more applied areas where the objective is to nd solutions to ¿real life¿ problems, as is the case in robotics, control of industrial processes or nance. The ¿high tech¿ character of modern business has increased the need for advanced methods. These rely heavily on mathematical techniques and seem indispensable for competitiveness of modern enterprises. It became essential for the nancial analyst to possess a high level of mathematical skills. C- versely, the complex challenges posed by the problems and models relevant to nance have, for a long time, been an important source of new research topics for mathematicians. The use of techniques from stochastic optimal control constitutes a well established and important branch of mathematical nance. Up to now, other branches of control theory have found comparatively less application in n- cial problems. To some extent, deterministic and stochastic control theories developed as di erent branches of mathematics. However, there are many points of contact between them and in recent years the exchange of ideas between these elds has intensi ed. Some concepts from stochastic calculus (e.g., rough paths) havedrawntheattentionofthedeterministiccontroltheorycommunity.Also, some ideas and tools usual in deterministic control (e.g., geometric, algebraic or functional-analytic methods) can be successfully applied to stochastic c- trol.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 436 pp. Englisch.

Condition: New. Print on Demand pp. 436 41 Illus.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Control theory provides a large set of theoretical and computational tools with applications in a wide range of elds, running from 'pure' branches of mathematics, like geometry, to more applied areas where the objective is to nd solutions to 'real life' problems, as is the case in robotics, control of industrial processes or nance. The 'high tech' character of modern business has increased the need for advanced methods. These rely heavily on mathematical techniques and seem indispensable for competitiveness of modern enterprises. It became essential for the nancial analyst to possess a high level of mathematical skills. C- versely, the complex challenges posed by the problems and models relevant to nance have, for a long time, been an important source of new research topics for mathematicians. The use of techniques from stochastic optimal control constitutes a well established and important branch of mathematical nance. Up to now, other branches of control theory have found comparatively less application in n- cial problems. To some extent, deterministic and stochastic control theories developed as di erent branches of mathematics. However, there are many points of contact between them and in recent years the exchange of ideas between these elds has intensi ed. Some concepts from stochastic calculus (e.g., rough paths) havedrawntheattentionofthedeterministiccontroltheorycommunity.Also, some ideas and tools usual in deterministic control (e.g., geometric, algebraic or functional-analytic methods) can be successfully applied to stochastic c- trol. 436 pp. Englisch.

Condition: New. PRINT ON DEMAND pp. 436.