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 170
Figure A4.1 shows the resulting solution report delivered by LINDO. Both the top
line and bottom line in this figure indicate that an optimal solution was found at
iteration 2 of the simplex method. Next comes the value of the objective function ...
Figure A4.1 shows the resulting solution report delivered by LINDO. Both the top
line and bottom line in this figure indicate that an optimal solution was found at
iteration 2 of the simplex method. Next comes the value of the objective function ...
Page 504
504 ^rW[TH P£RT/cPM FIGURE 10.14 This Excel template in your OR
Courseware enables efficient application of the PERT/Cost procedure, as
illustrated here for the beginning of Reliable's project when using earliest start
times. 1 2 3 4 5 6_ ...
504 ^rW[TH P£RT/cPM FIGURE 10.14 This Excel template in your OR
Courseware enables efficient application of the PERT/Cost procedure, as
illustrated here for the beginning of Reliable's project when using earliest start
times. 1 2 3 4 5 6_ ...
Page 1161
Kx)k FIGURE A2.3 A concave function. /WA /to A /to A y x FIGURE A2.4 A strictly
concave function. FIGURE A2.6 A function that is neither convex nor concave.
creasing and increasing so the second derivative fluctuates between being ...
Kx)k FIGURE A2.3 A concave function. /WA /to A /to A y x FIGURE A2.4 A strictly
concave function. FIGURE A2.6 A function that is neither convex nor concave.
creasing and increasing so the second derivative fluctuates between being ...
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Contents
SUPPLEMENT TO APPENDIX 3 | 3 |
Problems | 6 |
An Algorithm for the Assignment Problem | 18 |
Copyright | |
44 other sections not shown
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Common terms and phrases
activity additional algorithm alternative amount analysis apply assigned assumed basic variable begin BF solution bound calculate called changes coefficients column complete Consider constraints Construct corresponding cost CPF solution customers decision demand described determine developed distribution entering equations estimated example expected feasible FIGURE final flow formulation given gives hour identify illustrate increase indicates initial inventory iteration linear programming machine Maximize maximum mean million Minimize month needed node objective function obtained operations optimal optimal solution original parameter path payoff perform plant player possible presented Prob probability problem procedure profit programming problem queueing respectively resulting shown shows side simplex method solution solve step strategy Table tableau tion transportation unit weeks
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 |