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Integrals, Generalized. --- Measure theory. --- Probabilities. --- 519.211 --- Foundations and axioms of probability theory --- Verzekeringswiskunde Waarschijnlijkheidsrekening --- 519.211 Foundations and axioms of probability theory --- 10.01.a --- Verzekeringswiskunde ; Waarschijnlijkheidsrekening --- Probability theory
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Programmation mathematique --- Dynamic programming --- Programmation dynamique
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This book explores discrete-time dynamic optimization and provides a detailed introduction to both deterministic and stochastic models. Covering problems with finite and infinite horizon, as well as Markov renewal programs, Bayesian control models and partially observable processes, the book focuses on the precise modelling of applications in a variety of areas, including operations research, computer science, mathematics, statistics, engineering, economics and finance. Dynamic Optimization is a carefully presented textbook which starts with discrete-time deterministic dynamic optimization problems, providing readers with the tools for sequential decision-making, before proceeding to the more complicated stochastic models. The authors present complete and simple proofs and illustrate the main results with numerous examples and exercises (without solutions). With relevant material covered in four appendices, this book is completely self-contained.
Mathematics. --- System theory. --- Operations research. --- Management science. --- Mathematical optimization. --- Probabilities. --- Operations Research, Management Science. --- Systems Theory, Control. --- Discrete Optimization. --- Probability Theory and Stochastic Processes. --- Systems theory. --- Distribution (Probability theory. --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Quantitative business analysis --- Management --- Problem solving --- Statistical decision --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Systems, Theory of --- Systems science --- Science --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk --- Philosophy
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This book explores discrete-time dynamic optimization and provides a detailed introduction to both deterministic and stochastic models. Covering problems with finite and infinite horizon, as well as Markov renewal programs, Bayesian control models and partially observable processes, the book focuses on the precise modelling of applications in a variety of areas, including operations research, computer science, mathematics, statistics, engineering, economics and finance. Dynamic Optimization is a carefully presented textbook which starts with discrete-time deterministic dynamic optimization problems, providing readers with the tools for sequential decision-making, before proceeding to the more complicated stochastic models. The authors present complete and simple proofs and illustrate the main results with numerous examples and exercises (without solutions). With relevant material covered in four appendices, this book is completely self-contained.
Numerical methods of optimisation --- Operational research. Game theory --- Discrete mathematics --- Mathematical statistics --- Probability theory --- Mathematics --- Engineering sciences. Technology --- Planning (firm) --- Business management --- waarschijnlijkheidstheorie --- discrete wiskunde --- stochastische analyse --- Bayesian statistics --- management --- mathematische modellen --- systeemtheorie --- econometrie --- wiskunde --- operationeel onderzoek --- systeembeheer --- kansrekening
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