9783540695318 - Mathematical Control Theory and Finance (21 risultati)

Condizione: New. pp. 436.

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

Condizione: New. pp. 436.

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

Condizione: 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.

Condizione: 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 7-12 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.

Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.

Condizione: New.

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Hardcover. Condizione: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 420 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

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Buch. Condizione: 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.

Hardcover. Condizione: new. Hardcover. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Buch. Condizione: 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.