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 744
Formulate this problem as a two - person , zero - sum game , and then determine which strategy the respective manufacturers should use according to the minimax criterion . 14.1-3 . Consider the following parlor game to be played between ...
Formulate this problem as a two - person , zero - sum game , and then determine which strategy the respective manufacturers should use according to the minimax criterion . 14.1-3 . Consider the following parlor game to be played between ...
Page 829
C ( c ) Use your OR Courseware to determine the steady - state prob- abilities of the state of the Markov chain . Describe how the probabilities in the n - step transition matrices obtained in part ( b ) compare to these steady - state ...
C ( c ) Use your OR Courseware to determine the steady - state prob- abilities of the state of the Markov chain . Describe how the probabilities in the n - step transition matrices obtained in part ( b ) compare to these steady - state ...
Page 1040
Forecast Actual January February March April May June 380 390 380 400 400 360 ( a ) Using only data in the table for March , April , May , and June , determine the actual demands in April and May . ( b ) Suppose now that a clerical ...
Forecast Actual January February March April May June 380 390 380 400 400 360 ( a ) Using only data in the table for March , April , May , and June , determine the actual demands in April and May . ( b ) Suppose now that a clerical ...
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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