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
Results 1-3 of 81
Page 176
... step by step in algebraic form to solve this problem . D.I ( b ) Work through the simplex method step by step in tabular form to solve the problem . c ( c ) Use a computer package based on the simplex method to solve the problem . D.1 ...
... step by step in algebraic form to solve this problem . D.I ( b ) Work through the simplex method step by step in tabular form to solve the problem . c ( c ) Use a computer package based on the simplex method to solve the problem . D.1 ...
Page 178
... step by step to solve the problem . 4.6-2 . Consider the following problem . Maximize subject to Z = 4x1 + 2x2 + 3x3 + 5x4 , initial ( artificial ) BF solution . Also identify the initial entering basic variable and the leaving basic ...
... step by step to solve the problem . 4.6-2 . Consider the following problem . Maximize subject to Z = 4x1 + 2x2 + 3x3 + 5x4 , initial ( artificial ) BF solution . Also identify the initial entering basic variable and the leaving basic ...
Page 179
... step by step . c ( b ) Use a software package based on the simplex method to for- mulate and solve the phase 1 problem . I ( c ) Work through phase 2 step by step to solve the original problem . c ( d ) Use a computer code based on ...
... step by step . c ( b ) Use a software package based on the simplex method to for- mulate and solve the phase 1 problem . I ( c ) Work through phase 2 step by step to solve the original problem . c ( d ) Use a computer code based on ...
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 corresponding cost Courseware CPF solution CPLEX decision variables dual problem dynamic programming entering basic variable estimates example feasible region feasible solutions final simplex tableau final tableau flow following problem formulation functional constraints Gaussian elimination given graphical identify increase initial BF solution integer interior-point iteration leaving basic variable linear programming model linear programming problem LINGO LP relaxation lution Maximize subject 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 simplex method slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion values weeks Wyndor Glass x₁ zero