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 229
You are given the fact that the basic variables in the optimal solu - tion are x , and
x3 . ( a ) Introduce slack variables , and then use the given information to find the
optimal solution directly by Gaussian elimination . ( b ) Extend the work in part ...
You are given the fact that the basic variables in the optimal solu - tion are x , and
x3 . ( a ) Introduce slack variables , and then use the given information to find the
optimal solution directly by Gaussian elimination . ( b ) Extend the work in part ...
Page 1158
... links that provide extensive documentaThis book also features the popular
modeling language tion of the software . The OR Courseware also includes an
LINGO ( see especially Appendix 3 . 1 and the end of Sec . MS Project folder that
has ...
... links that provide extensive documentaThis book also features the popular
modeling language tion of the software . The OR Courseware also includes an
LINGO ( see especially Appendix 3 . 1 and the end of Sec . MS Project folder that
has ...
Page 1163
Second , the sum of convex functions is a convex func - tion , and the sum of
concave functions is a concave func - tion . To illustrate , fi ( xi ) = xi + 2xî - 5xı The
concept of a convex function leads quite naturally to the related concept of a
convex ...
Second , the sum of convex functions is a convex func - tion , and the sum of
concave functions is a concave func - tion . To illustrate , fi ( xi ) = xi + 2xî - 5xı The
concept of a convex function leads quite naturally to the related concept of a
convex ...
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Contents
SUPPLEMENT TO APPENDIX 3 | 3 |
Problems | 6 |
An Algorithm for the Assignment Problem | 18 |
Copyright | |
59 other sections not shown
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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 constraints Construct corresponding cost CPF solution decision variables demand described determine distribution dual problem entering equal equations estimates example feasible 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 nonnegative 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 transportation 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 |