Applied Dynamic Programming (eBook)

Richard E. Bellman, Stuart E Dreyfus (Autoren)

eBook Download: PDF

2015 | 1. Auflage
390 Seiten
Princeton University Press (Verlag)
978-1-4008-7465-1 (ISBN)

Infos

This comprehensive study of dynamic programming applied to numerical solution of optimization problems. It will interest aerodynamic, control, and industrial engineers, numerical analysts, and computer specialists, applied mathematicians, economists, and operations and systems analysts.Originally published in 1962.The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.

Produkt-Details

• Erscheint lt. Verlag: 8.12.2015
• Reihe/Serie: Princeton Legacy Library
• Reihe/Serie: Princeton Legacy Library
• Verlagsort: Princeton
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge
• Schlagworte: Accuracy and precision • Adaptive Control • adjoint equation • Approximation • A priori estimate • Auxiliary function • Boundary value problem • Calculation • Calculus of Variations • Change of variables • Closed-form expression • coefficient • combination • Computation • Computational problem • Constant of integration • Curse of Dimensionality • Decision-Making • Decision problem • Derivative • Determination • Diagram (category theory) • differential equation • Dimension • Dimensional Analysis • Duality (optimization) • Dynamic Programming • Equation • Euler equations (fluid dynamics) • expected value • Extrapolation • For All Practical Purposes • functional equation • Gaussian quadrature • Gradient descent • Inequality (mathematics) • inflection point • Information Theory • Initial Condition • Initial Value Problem • Iteration • Iterative Method • Lagrange multiplier • linear differential equation • linear equation • Linear Inequality • Linearity • Linear map • Linear Programming • Loss Function • Management Science • Markov Chain • Markov process • Mathematical Optimization • Mathematical problem • Mathematics • Maxima and minima • Maximum flow problem • Maximum principle • Monotonic Function • Monte Carlo Method • Newton's method • Nonlinear Programming • nonlinear system • Numerical analysis • Numerical Stability • optimization problem • Parameter • partial derivative • Plane Stress • polynomial • power function • Probability • quadratic function • Quantity • Recurrence relation • Relative interior • Requirement • result • Search problem • Sensitivity Analysis • sequent • Significant figures • Sign (mathematics) • Simplex Algorithm • Simultaneous Equations • smoothing • Special case • state variable • stationary distribution • Steady state • stochastic • Sturm–Liouville theory • theory • time complexity • Trapezoidal rule • Trapezoidal rule (differential equations) • Utility • Utilization • Variable (mathematics)
• ISBN-10: 1-4008-7465-3 / 1400874653
• ISBN-13: 978-1-4008-7465-1 / 9781400874651