chapter 1 Introduction -- chapter 2 Fundamentals -- chapter 3 Multistage Decision Model -- chapter 4 Dynamic Programming An Outline -- chapter 5 Solution Methods -- chapter 6 Successive Approximation Methods -- chapter 7 Optimal Policies -- chapter 8 Chpater 8. The Curse of Dimensionality -- chapter 9 The Rest Is Mathematics and Experience -- chapter 10 Refinements -- chapter 11 The State -- chapter 12 Parametric Schemes -- chapter 13 The Principle of Optimality -- chapter 14 Forward Decomposition -- chapter 15 Push! -- chapter 16 What Then Is Dynamic Programming? -- chapter A Contraction Mapping -- chapter B Fractional Programming -- chapter 100 Appendix C. Composite Concave Programming -- chapter D The Principle of Optimality in Stochastic Processes -- chapter E The Corridor Method.