Introduction to Operations Research, Volume 1CD-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 114
The next focus is on which adjacent CPF solution to choose at each iteration . Solution concept 5 : After the current CPF solution is identified , the simplex method examines each of the edges of the feasible region that emanate from ...
The next focus is on which adjacent CPF solution to choose at each iteration . Solution concept 5 : After the current CPF solution is identified , the simplex method examines each of the edges of the feasible region that emanate from ...
Page 174
4x1 X2 5 10 -X1 + 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 5 10 -X1 + 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 ...
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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 assignment basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider constraints Construct corresponding cost CPF solution decision variables demand described determine direction distribution dual problem entering equal equations estimates example feasible feasible region 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 shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit weeks Wyndor Glass zero
Bibliographic information
| Title | Introduction to Operations Research, Volume 1 Introduction to Operations Research, Frederick S. Hillier 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 | the University of Michigan |
| Digitized | 8 Aug 2011 |
| ISBN | 0072321695, 9780072321692 |
| Length | 1214 pages |
| Export Citation | BiBTeX EndNote RefMan |