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 100
Page 120
Determining the Direction of Movement ( Step 1 of an Iteration ) Increasing one nonbasic variable from zero ( while adjusting the values of the basic variables to continue satisfying the system of equations ) corresponds to moving along ...
Determining the Direction of Movement ( Step 1 of an Iteration ) Increasing one nonbasic variable from zero ( while adjusting the values of the basic variables to continue satisfying the system of equations ) corresponds to moving along ...
Page 129
Tie for the Leaving Basic Variable — Degeneracy Now suppose that two or more basic variables tie for being the leaving ... First , all the tied basic variables reach zero simultaneously as the entering basic variable is in- creased .
Tie for the Leaving Basic Variable — Degeneracy Now suppose that two or more basic variables tie for being the leaving ... First , all the tied basic variables reach zero simultaneously as the entering basic variable is in- creased .
Page 311
Feasibility test : Check to see whether all the basic variables are nonnegative . ... Iteration : Step 1 Determine the leaving basic variable : Select the negative basic variable that has the largest absolute value .
Feasibility test : Check to see whether all the basic variables are nonnegative . ... Iteration : Step 1 Determine the leaving basic variable : Select the negative basic variable that has the largest absolute value .
What people are saying - Write a review
We haven't found any reviews in the usual places.
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 allocation allowable range artificial variables assignment problem augmenting path basic solution Big M method changes coefficients column Consider the following constraint boundary corresponding CPLEX decision variables 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 graphically identify increase initial BF solution integer interior-point iteration leaving basic variable linear programming model linear programming problem LP relaxation lution Maximize Maximize Z maximum flow problem Minimize needed node nonbasic variables objective function obtained optimal solution optimality test path Plant presented in Sec primal problem Prob procedure range to stay resource right-hand sides sensitivity analysis shadow prices slack variables solve this model Solver spreadsheet step subproblem surplus variables tion transportation problem transportation simplex method weeks Wyndor Glass x₁ zero