## Introduction to Operations ResearchCD-ROM contains: Student version of MPL Modeling System and its solver CPLEX -- MPL tutorial -- Examples from the text modeled in MPL -- Examples from the text modeled in LINGO/LINDO -- Tutorial software -- Excel add-ins: TreePlan, SensIt, RiskSim, and Premium Solver -- Excel spreadsheet formulations and templates. |

### From inside the book

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Page 533

Frederick S. Hillier, Gerald J. Lieberman. 11

Frederick S. Hillier, Gerald J. Lieberman. 11

**Dynamic Programming**11.1**Dynamic programming**is a useful mathematical technique for making a sequence of in- terrelated decisions . It provides a systematic procedure for determining the ...Page 568

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**Dynamic programming**is a very useful technique for making a sequence of interrelated decisions . It requires ... programming need make no more than a thousand calculations ( 10 for each state at each stage ) . This chapter has ...Page 574

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**dynamic programming**to solve this problem . 11.4-2 . Imagine that you have $ 5,000 to invest and that you will have an opportunity to invest that amount in either of two invest- ments ( A or B ) at the beginning of 574 11 DYNAMIC ...### Other editions - View all

Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |

### Common terms and phrases

activity algebraic algorithm allowable range artificial variables b₂ basic solution c₁ c₂ changes coefficients column Consider the following cost Courseware CPLEX decision variables dual problem dual simplex method dynamic programming entering basic variable estimates example feasible region feasible solutions final simplex tableau final tableau following problem formulation functional constraints Gaussian elimination given goal programming graphical identify increase initial BF solution integer iteration leaving basic variable linear programming model linear programming problem LINGO LP relaxation lution Maximize Z maximum flow problem Minimize needed node nonbasic variables nonnegativity constraints objective function obtained optimal solution optimality test parameters path plant presented in Sec primal problem Prob procedure range to stay resource right-hand sides sensitivity analysis shadow prices shown slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion unit profit values weeks Wyndor Glass x₁ zero