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
Results 1-3 of 71
Page 300
... apply the simplex method with = 0 , the final simplex tableau is ( a ) Use the fundamental insight ( Sec . 5.3 ) to revise this tableau to reflect the inclusion of the parameter in the original model . Show the complete tableau needed ...
... apply the simplex method with = 0 , the final simplex tableau is ( a ) Use the fundamental insight ( Sec . 5.3 ) to revise this tableau to reflect the inclusion of the parameter in the original model . Show the complete tableau needed ...
Page 397
... apply the transportation simplex method to obtain an optimal solution . D.I ( d ) Use Vogel's approximation method to obtain an initial BF solution for this problem . DJ ( e ) Starting with the initial BF solution from part ( d ) ...
... apply the transportation simplex method to obtain an optimal solution . D.I ( d ) Use Vogel's approximation method to obtain an initial BF solution for this problem . DJ ( e ) Starting with the initial BF solution from part ( d ) ...
Page 1043
... apply the method retrospectively to these data with different values of a and then choose the value of a that gives ... apply various statistical forecasting meth- ods retrospectively to the past three years of data and compare their MAD ...
... apply the method retrospectively to these data with different values of a and then choose the value of a that gives ... apply various statistical forecasting meth- ods retrospectively to the past three years of data and compare their MAD ...
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 described 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 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 simplex method slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion unit profit values weeks Wyndor Glass x₁ zero