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 113
Solution concept 1 : The simplex method focuses solely on CPF solutions . For any problem with at least one optimal solution , finding one requires only finding a best CPF solution . " Since the number of feasible solutions generally is ...
Solution concept 1 : The simplex method focuses solely on CPF solutions . For any problem with at least one optimal solution , finding one requires only finding a best CPF solution . " Since the number of feasible solutions generally is ...
Page 174
4x1 - x2 = 10 - xy + 2x2 5 5 and ( b ) For each CPF solution , identify the corresponding BF solution by calculating the values of the slack variables . For each BF solution , use the values of the variables to identify the nonbasic ...
4x1 - x2 = 10 - xy + 2x2 5 5 and ( b ) For each CPF solution , identify the corresponding BF solution by calculating the values of the slack variables . For each BF solution , use the values of the variables to identify the nonbasic ...
Page 195
A CPF solution lies at the intersection of n constraint boundaries ( and satisfies the other constraints as well ) . ... Two CPF solutions are adjacent if the line segment connecting them is an edge of the feasible region .
A CPF solution lies at the intersection of n constraint boundaries ( and satisfies the other constraints as well ) . ... Two CPF solutions are adjacent if the line segment connecting them is an edge of the feasible region .
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Common terms and phrases
activity additional algorithm allocation allowable amount apply assignment basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider constraint Construct corresponding cost CPF solution decision variables demand described determine distribution dual problem entering equal 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 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 remaining resource respective resulting revised shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit values weeks Wyndor Glass zero
Bibliographic information
| Title | Introduction to Operations Research McGraw-Hill International Editions McGraw-Hill industrial & plant engineering series McGraw-Hill series in industrial engineering and management science |
| Authors | Frederick S. Hillier, Gerald J. Lieberman |
| Edition | 7, illustrated |
| Publisher | McGraw-Hill, 2001 |
| Original from | Pennsylvania State University |
| Digitized | 26 Aug 2009 |
| ISBN | 0071181636, 9780071181631 |
| Length | 1214 pages |
| Export Citation | BiBTeX EndNote RefMan |