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Reachable Sets of Dynamic Systems: Uncertainty, Sensitivity, and Complex Dynamics introduces differential inclusions, providing an overview as well as multiple examples of its interdisciplinary applications. The design of dynamic systems of any type is an important issue as is the influence of uncertainty in model parameters and model sensitivity. The possibility of calculating the reachable sets may be a powerful additional tool in such tasks. This book can help graduate students, researchers, and engineers working in the field of computer simulation and model building, in the calculation of reachable sets of dynamic models.
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In dynamic investment planning the time of investment is a significant issue. By simplifying the mathematical notation, the author of this book seeks to make control theory a practical tool that can be applied to the problem of timing. The book, first published in 1977, begins with an introduction to one important approach to control theory - dynamic programming. Then some of the relevant literature that deals with investment decision-making is reviewed. This is followed by a mathematically formulated planning model. The computational aspects of the model are discussed and a complete computer
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Focusing on the modeling and solution of deterministic multistage decision problems, this book looks at dynamic programming as a problem-solving optimization method. With over 400 useful references, this edition discusses the dynamic programming analysis of a problem, illustrates the rationale behind this analysis, and clarifies the theoretical grounds that justify the rationale. It also explains the meaning and role of the concept of state in dynamic programming, examines the purpose and function of the principle of optimality, and outlines solution strategies for problems defiant of conventi
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Mathematical optimization. --- Dynamic programming. --- Financial risk management.
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Operational research. Game theory --- Decision making. --- Dynamic programming. --- Decision making --- Dynamic programming
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Dynamic programming; sequential scientific management
Dynamic programming. --- Mathematical optimization --- Programming (Mathematics) --- Systems engineering
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Nonserial dynamic programming
Dynamic programming. --- Dynamic programming --- Programming (Mathematics) --- Mathematical programming --- Goal programming --- Algorithms --- Functional equations --- Mathematical optimization --- Operations research --- Systems engineering
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Stochastic optimal control : the discrete time case
Stochastic processes --- Dynamic programming. --- Measure theory. --- Stochastic processes. --- Dynamic programming --- Measure theory --- Operations Research --- Civil & Environmental Engineering --- Engineering & Applied Sciences
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