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. |
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Page 317
... procedure in a way that demonstrates its duality relationship with the procedure for systematic changes in the c , parameters , we now apply it to the dual problem for the Wyndor Glass Co. ( see Table 6.1 ) . In particular , suppose ...
... procedure in a way that demonstrates its duality relationship with the procedure for systematic changes in the c , parameters , we now apply it to the dual problem for the Wyndor Glass Co. ( see Table 6.1 ) . In particular , suppose ...
Page 675
... procedure continue until Vf ( x ) = 0 within a small tolerance e , that is , until af дх < E for j = 1 , 2 , . . . , n . ' An analogy may help to clarify this procedure . Suppose that you need to climb to the top of a hill . You are ...
... procedure continue until Vf ( x ) = 0 within a small tolerance e , that is , until af дх < E for j = 1 , 2 , . . . , n . ' An analogy may help to clarify this procedure . Suppose that you need to climb to the top of a hill . You are ...
Page 678
... procedure actually will stop somewhere ( depending on e ) slightly below ( 1 , 1 ) as its fi- nal approximation of x * . As Fig . 13.14 suggests , the gradient search procedure zigzags to the optimal solution rather than moving in a ...
... procedure actually will stop somewhere ( depending on e ) slightly below ( 1 , 1 ) as its fi- nal approximation of x * . As Fig . 13.14 suggests , the gradient search procedure zigzags to the optimal solution rather than moving in a ...
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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