Introduction to Operations Research, Volume 1CD-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 1
... OPERATIONS RESEARCH Since the advent of the industrial revolution , the world has seen a remarkable growth in the size and complexity of organizations . The artisans ' small shops of an earlier era have evolved into the billion - dollar ...
... OPERATIONS RESEARCH Since the advent of the industrial revolution , the world has seen a remarkable growth in the size and complexity of organizations . The artisans ' small shops of an earlier era have evolved into the billion - dollar ...
Page 3
... operations research involves creative scientific research into the fundamental properties of operations . How- ever , there is more to it than this ... OPERATIONS RESEARCH 3 SUPPLEMENT TO APPENDIX 3 The Impact of Operations Research.
... operations research involves creative scientific research into the fundamental properties of operations . How- ever , there is more to it than this ... OPERATIONS RESEARCH 3 SUPPLEMENT TO APPENDIX 3 The Impact of Operations Research.
Page 1170
... operations are straightforward because they involve performing only the same comparison or arithmetic opera- tion on ... operations described here do not possess certain of the properties of arithmetic operations , they do satisfy these ...
... operations are straightforward because they involve performing only the same comparison or arithmetic opera- tion on ... operations described here do not possess certain of the properties of arithmetic operations , they do satisfy these ...
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 CPF solution CPLEX decision variables described dual problem dynamic programming entering basic variable example feasible region feasible solutions final simplex tableau final tableau following problem formulation functional constraints Gaussian elimination given goal goal programming graphical identify increase initial BF solution integer interior-point 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 right-hand sides sensitivity analysis shadow prices shown simplex method slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion values weeks Wyndor Glass x₁ zero