Handbook of learning and approximate dynamic programming / Si, Jennie.

Reinforcement learning and approximate dynamic programming for feedback control / Lewis, Frank L

-- Evolutionary Computational Techniques -- Adaptive Dynamic Programming Techniques -- Pareto Methods --

Programming Processes (R. Bellman). Optimal Regulation Processes (L. Pontryagin). Contributions to the Theory

Economic Dispatch -- 5.1 Introduction -- 5.2 Linear Programming Method -- 5.3 Quadratic Programming Method

Methods) 70 -- 3.10. Dynamic Programming 71 -- 3.11. Adaptive Dynamic Programming 71 -- 3.12. Example

Introduction 253 -- 7.2 Priority Method 253 -- 7.3 Dynamic Programming Method 256 -- 7.4 Lagrange Relaxation

Convex Optimization 83 -- 4.2 Dynamic Programming 86 -- 4.2.1 Sequential Optimization 86 -- 4.2.2 Markov

-- Positioning Elements -- Writing dynamic menus in DHTML -- You turn!! -- Chapter 19. Putting it All Together

-- 19.1 Background of Stochastic Programming 667 -- 19.2 Model Formulations of Stochastic Programming

Quadratic Programming, 603 -- 10.11 Dynamic Programming, 605 -- 10.12 Pontryagin's Principle of Maximum, 607

Volatility: Model Coefficient Polynomial Expansions 155 -- 7.3.1 Models and Dynamic Programming Equation 155