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 173
( b ) For each CPF solution , identify the pair of constraint bound- ary equations that it satisfies . ( c ) For each CPF solution , use this pair of constraint boundary equations to solve algebraically for the values of x and x2 at the ...
( b ) For each CPF solution , identify the pair of constraint bound- ary equations that it satisfies . ( c ) For each CPF solution , use this pair of constraint boundary equations to solve algebraically for the values of x and x2 at the ...
Page 222
Identify the CPF solutions by circling them on the graph . ( b ) Develop a table giving each of the CPF solutions and the cor- responding defining equations , BF solution , and nonbasic vari- ables . Calculate Z for each of these ...
Identify the CPF solutions by circling them on the graph . ( b ) Develop a table giving each of the CPF solutions and the cor- responding defining equations , BF solution , and nonbasic vari- ables . Calculate Z for each of these ...
Page 288
( c ) Use the result from part ( b ) to identify the nonbasic variables and basic variables for the optimal BF solution for the primal problem . ( d ) Use the results from part ( c ) to obtain the optimal solution for the primal problem ...
( c ) Use the result from part ( b ) to identify the nonbasic variables and basic variables for the optimal BF solution for the primal problem . ( d ) Use the results from part ( c ) to obtain the optimal solution for the primal problem ...
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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 assigned basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider Construct corresponding cost CPF solution decision variables described determine developed dual problem entering 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 linear programming model Maximize million Minimize month needed node objective function obtained operations optimal optimal solution original parameters path perform plant possible presented primal problem Prob procedure profit programming problem provides range resource respective resulting revised sensitivity analysis shown shows side simplex method simplex tableau slack solve step Table tableau tion unit values weeks Wyndor Glass x₁ 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 |