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
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Page 164
Now let us look at the key idea behind Karmarkar's algorithm and its subsequent vari- ants that use the interior - point approach . The Key Solution Concept Although radically different from the simplex method , Karmarkar's algorithm ...
Now let us look at the key idea behind Karmarkar's algorithm and its subsequent vari- ants that use the interior - point approach . The Key Solution Concept Although radically different from the simplex method , Karmarkar's algorithm ...
Page 613
Also included in the OR Courseware is an interactive routine for executing this algorithm . As usual , the Excel , LINGO / LINDO , and MPL / CPLEX ... The algorithms they use for BIP problems all are similar to the one described above .
Also included in the OR Courseware is an interactive routine for executing this algorithm . As usual , the Excel , LINGO / LINDO , and MPL / CPLEX ... The algorithms they use for BIP problems all are similar to the one described above .
Page 698
Although these algorithms are particularly suitable for linearly constrained op- timization problems , some also can be ... As one example of a sequential - approximation algorithm , we present here the Frank- Wolfe algorithm ' for the ...
Although these algorithms are particularly suitable for linearly constrained op- timization problems , some also can be ... As one example of a sequential - approximation algorithm , we present here the Frank- Wolfe algorithm ' for the ...
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Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |
Common terms and phrases
activity additional algorithm allowable amount apply assigned basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider Construct corresponding cost CPF solution decision variables described determine developed dual problem entering equations estimates example feasible feasible region feasible solutions FIGURE final flow formulation functional constraints given gives goal identify illustrate increase indicates initial iteration linear programming linear programming model Maximize million Minimize month needed node objective function obtained operations optimal optimal solution original parameters path perform plant possible presented primal problem Prob procedure profit programming problem provides range resource respective resulting revised sensitivity analysis shown shows side simplex method simplex tableau slack solve step Table tableau tion unit values weeks Wyndor Glass x₁ zero