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 442
[ 40 ] [ -30 ) 9 ( -0 ) A D 40 10 ] 3 ( -0 ) C 3 ( 0 ) 10 FIGURE 9.19 The incremental effect on costs of adding arc A → C with flow to the initial feasible spanning tree . В. E [ 50 ] [ -60 ] Now what is the incremental effect on Z ...
[ 40 ] [ -30 ) 9 ( -0 ) A D 40 10 ] 3 ( -0 ) C 3 ( 0 ) 10 FIGURE 9.19 The incremental effect on costs of adding arc A → C with flow to the initial feasible spanning tree . В. E [ 50 ] [ -60 ] Now what is the incremental effect on Z ...
Page 910
Figure 18.2 can be obtained by using the appropriate waiting - time equation from queueing theory . These two considerations create conflicting pressures on the decision maker . The objective of reducing service costs recommends a ...
Figure 18.2 can be obtained by using the appropriate waiting - time equation from queueing theory . These two considerations create conflicting pressures on the decision maker . The objective of reducing service costs recommends a ...
Page 1161
fr ) FIGURE A2.3 A concave function . x ' 1 x " X f ( x ) f ( x ) f ( x ) x ' x " X X X FIGURE A2.4 A strictly concave ... FIGURE A2.6 A function that is neither convex nor concave . creasing and increasing so the second derivative ...
fr ) FIGURE A2.3 A concave function . x ' 1 x " X f ( x ) f ( x ) f ( x ) x ' x " X X X FIGURE A2.4 A strictly concave ... FIGURE A2.6 A function that is neither convex nor concave . creasing and increasing so the second derivative ...
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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