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 73
4 , the model sizes range from three functional constraints and two decision
variables ( for the Wyndor and radiation therapy problems ) up to 17 functional
constraints and 12 decision variables ( for the Save - It Company problem ) . The
latter ...
4 , the model sizes range from three functional constraints and two decision
variables ( for the Wyndor and radiation therapy problems ) up to 17 functional
constraints and 12 decision variables ( for the Save - It Company problem ) . The
latter ...
Page 75
When maximizing this objective function , the 21 , 000 decision variables need to
satisfy nonnegativity constraints as well as four types of functional constraints —
production capacity constraints , plant balance constraints ( equality constraints ...
When maximizing this objective function , the 21 , 000 decision variables need to
satisfy nonnegativity constraints as well as four types of functional constraints —
production capacity constraints , plant balance constraints ( equality constraints ...
Page 249
By the symmetry property , deleting a nonnegativity constraint in the primal
problem affects the dual problem only by changing the corresponding inequality
constraint to an equality constraint . Another shortcut involves functional
constraints in ...
By the symmetry property , deleting a nonnegativity constraint in the primal
problem affects the dual problem only by changing the corresponding inequality
constraint to an equality constraint . Another shortcut involves functional
constraints in ...
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Contents
SUPPLEMENT TO APPENDIX 3 | 3 |
Problems | 6 |
An Algorithm for the Assignment Problem | 18 |
Copyright | |
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Common terms and phrases
activity additional algorithm allocation allowable amount apply assignment basic solution basic variable BF solution bound boundary calculations called capacity changes coefficients column complete Consider constraints construct corresponding cost CPF solution demand described determine direction distribution dual problem entering equal equations estimates example feasible FIGURE final flow problem Formulate functional constraints given gives goal identify illustrate increase indicates initial iteration linear programming Maximize million Minimize month needed node nonbasic variables objective function obtained operations optimal optimal solution original parameters path plant possible presented primal problem Prob procedure profit programming problem provides range resource respective resulting revised Select shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit values weeks Wyndor Glass zero