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This book treats stochastic control theory and its applications in management. The main numerical techniques necessary for such applications are presented. Several advanced topics leading to optimal processes are dismissed. The book also considers the theory of some stochastic control processes and several applications to illustrate the ideas.
Decision making. --- Control theory. --- Stochastic processes.
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The intention of this textbook is to provide both, the theoretical and computational tools that are necessary to investigate and to solve optimal control problems with ordinary differential equations and differential-algebraic equations. An emphasis is placed on the interplay between the continuous optimal control problem, which typically is defined and analyzed in a Banach space setting, and discrete optimal control problems, which are obtained by discretization and lead to finite dimensional optimization problems. The book addresses primarily master and PhD students as well as researchers in applied mathematics, but also engineers or scientists with a good background in mathematics and interest in optimal control. The theoretical parts of the book require some knowledge of functional analysis, the numerically oriented parts require knowledge from linear algebra and numerical analysis. Examples are provided for illustration purposes.
Control theory - Mathematical models. --- Control theory -- Mathematical models. --- Mathematical optimization. --- Mathematics. --- Optimal control. --- Control theory --- Mathematical optimization --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Operations Research --- Mathematical models --- Mathematical models. --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- E-books --- Control Theory. --- DAE. --- ODE. --- Optimal.
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Economic stabilization --- Control theory --- Economic policy --- Mathematical models --- AA / International- internationaal --- 331.31 --- 305.971 --- Economisch beleid. --- Speciale gevallen in econometrische modelbouw. --- Economic stabilization - Mathematical models. --- Control theory - Mathematical models. --- Economic policy - Mathematical models. --- Speciale gevallen in econometrische modelbouw --- Economisch beleid --- Economic stabilization - Mathematical models --- Control theory - Mathematical models --- Economic policy - Mathematical models
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Planning (firm) --- Methodology of economics --- Mathematical statistics --- Economics, Mathematical --- Control theory --- Mathématiques économiques --- Théorie de la commande --- Addresses, essays, lectures --- AA / International- internationaal --- 330.2 --- 330.105 --- 305.1 --- 519.715 --- -Economics, Mathematical --- -Economics --- Mathematical economics --- Econometrics --- Economics --- Mathematics --- Dynamics --- Machine theory --- Economische analyse en research. Theorie van de informatie. --- Wiskundige economie. Wiskundige methoden in de economie --- Lineaire en kwadratische programmatie. Operationeel onderzoek. --- Analysis problems in control theory --- Methodology --- Control theory. --- Economics, Mathematical. --- -Economische analyse en research. Theorie van de informatie. --- 519.715 Analysis problems in control theory --- 330.105 Wiskundige economie. Wiskundige methoden in de economie --- -519.715 Analysis problems in control theory --- Mathématiques économiques --- Théorie de la commande --- Lineaire en kwadratische programmatie. Operationeel onderzoek --- Economische analyse en research. Theorie van de informatie --- Economics, Mathematical - Addresses, essays, lectures --- Control theory - Addresses, essays, lectures
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First published in 2004, this is a rigorous but user-friendly book on the application of stochastic control theory to economics. A distinctive feature of the book is that mathematical concepts are introduced in a language and terminology familiar to graduate students of economics. The standard topics of many mathematics, economics and finance books are illustrated with real examples documented in the economic literature. Moreover, the book emphasises the dos and don'ts of stochastic calculus, cautioning the reader that certain results and intuitions cherished by many economists do not extend to stochastic models. A special chapter (Chapter 5) is devoted to exploring various methods of finding a closed-form representation of the value function of a stochastic control problem, which is essential for ascertaining the optimal policy functions. The book also includes many practice exercises for the reader. Notes and suggested readings are provided at the end of each chapter for more references and possible extensions.
Economics --- Stochastic control theory --- Mathematical models --- AA / International- internationaal --- 305.7 --- Econometrie van het gedrag van de financiële tussenpersonen. Monetaire econometrische modellen. Monetaire agregaten. vraag voor geld. Krediet. Rente. --- Stochastic control theory. --- Mathematical models. --- Business, Economy and Management --- Control theory --- Stochastic processes --- Economics, Mathematical --- Econometrie van het gedrag van de financiële tussenpersonen. Monetaire econometrische modellen. Monetaire agregaten. vraag voor geld. Krediet. Rente --- Economics - Mathematical models
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This is a concise and elementary introduction to stochastic control and mathematical modelling. This book is designed for researchers in stochastic control theory studying its application in mathematical economics and those in economics who are interested in mathematical theory in control. It is also a good guide for graduate students studying applied mathematics, mathematical economics, and non-linear PDE theory. Contents include the basics of analysis and probability, the theory of stochastic differential equations, variational problems, problems in optimal consumption and in optimal stopping, optimal pollution control, and solving the Hamilton-Jacobi-Bellman (HJB) equation with boundary conditions. Major mathematical prerequisites are contained in the preliminary chapters or in the appendix so that readers can proceed without referring to other materials.
Stochastic control theory --- Optimal stopping (Mathematical statistics) --- Stochastic differential equations --- 519.2 --- 629.8312 --- 303.0 --- 305.976 --- 330.3 --- AA / International- internationaal --- Differential equations --- Fokker-Planck equation --- Control theory --- Stochastic processes --- Stopping, Optimal (Mathematical statistics) --- Sequential analysis --- Statistische technieken in econometrie. Wiskundige statistiek (algemene werken en handboeken) --- Algoritmen. Optimisatie --- Methode in staathuishoudkunde. Statische, dynamische economie. Modellen. Experimental economics --- Stochastic control theory. --- Stochastic differential equations. --- Mathematical Sciences --- Probability
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Foundations of Dynamic Economic Analysis presents a modern and thorough exposition of the fundamental mathematical formalism used to study optimal control theory, i.e., continuous time dynamic economic processes, and to interpret dynamic economic behavior. The style of presentation, with its continual emphasis on the economic interpretation of mathematics and models, distinguishes it from several other excellent texts on the subject. This approach is aided dramatically by introducing the dynamic envelope theorem and the method of comparative dynamics early in the exposition. Accordingly, motivated and economically revealing proofs of the transversality conditions come about by use of the dynamic envelope theorem. Furthermore, such sequencing of the material naturally leads to the development of the primal-dual method of comparative dynamics and dynamic duality theory, two modern approaches used to tease out the empirical content of optimal control models. The stylistic approach ultimately draws attention to the empirical richness of optimal control theory, a feature missing in virtually all other textbooks of this type.
Mathematical control systems --- Economics --- Control theory --- Mathematical optimization --- Mathematical models --- Control theory. --- Mathematical optimization. --- Mathematical models. --- AA / International- internationaal --- 305.971 --- Speciale gevallen in econometrische modelbouw. --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Economics, Mathematical --- Dynamics --- Machine theory --- Speciale gevallen in econometrische modelbouw --- Business, Economy and Management --- Economics - Mathematical models
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A rigorous introduction to optimal control theory, with an emphasis on applications in economics. Appendices provide a mathematical review and full solutions to all end-of-chapter problems.
Mathematical control systems --- Economics --- Control theory --- Mathematical optimization --- Game theory --- Mathematical models --- -Control theory --- AA / International- internationaal --- 305.6 --- 305.976 --- Games, Theory of --- Theory of games --- Mathematics --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Dynamics --- Machine theory --- Economic theory --- Political economy --- Social sciences --- Economic man --- Risicotheorie, speltheorie. Risicokapitaal. Beslissingsmodellen. --- Algoritmen. Optimisatie. --- Economics, Mathematical --- Risicotheorie, speltheorie. Risicokapitaal. Beslissingsmodellen --- Algoritmen. Optimisatie --- Control theory. --- Mathematical optimization. --- Game theory. --- Mathematical models. --- Economics - Mathematical models --- Économie politique --- Commande, Théorie de la --- Recherche opérationnelle --- Optimisation mathématique --- Théorie des jeux --- Modèles mathématiques
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This book consists of a series of new, peer-reviewed papers in stochastic processes, analysis, filtering and control, with particular emphasis on mathematical finance, actuarial science and engineering. Paper contributors include colleagues, collaborators and former students of Robert Elliott, many of whom are world-leading experts and have made fundamental and significant contributions to these areas. This book provides new important insights and results by eminent researchers in the considered areas, which will be of interest to researchers and practitioners. The topics considered will be diverse in applications, and will provide contemporary approaches to the problems considered. The areas considered are rapidly evolving. This volume will contribute to their development, and present the current state-of-the-art stochastic processes, analysis, filtering and control.
Control theory. --- Finance --- Stochastic processes. --- Dynamics --- Machine theory --- Random processes --- Probabilities --- Mathematical models. --- Portfolio management --- Stochastic processes --- Actuarial science --- Statistics --- Insurance --- Investment management --- Investment analysis --- Investments --- Securities --- Mathematics --- E-books
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Control theory. --- Decision making -- Mathematical models. --- Management science. --- Organizational behavior -- Mathematical models. --- System analysis. --- Management science --- Decision making --- Organizational behavior --- System analysis --- Control theory --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Operations Research --- Mathematical models --- Mathematical models. --- Network theory --- Systems analysis --- Behavior in organizations --- Quantitative business analysis --- Dynamics --- Machine theory --- System theory --- Mathematical optimization --- Management --- Organization --- Psychology, Industrial --- Social psychology --- Problem solving --- Operations research --- Statistical decision --- Network analysis --- Network science --- E-books
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