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. |
From inside the book
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Page 300
Show the complete tableau needed to apply the feasibility test and the optimality test for any value of 0. Express the corresponding basic solution ( and Z ) as a function of 0 . ( b ) Determine the range of nonnegative values of 0 over ...
Show the complete tableau needed to apply the feasibility test and the optimality test for any value of 0. Express the corresponding basic solution ( and Z ) as a function of 0 . ( b ) Determine the range of nonnegative values of 0 over ...
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
Given each of the following ( one - step ) transition matrices of a Markov chain , determine the classes of the Markov chain and whether they are recurrent . State 0 1 2 3 0 ro 1 1 3 دا انا انما انما 1 0 3 ( a ) P = 2 0 0 a 1 3 1 3 0 ...
Given each of the following ( one - step ) transition matrices of a Markov chain , determine the classes of the Markov chain and whether they are recurrent . State 0 1 2 3 0 ro 1 1 3 دا انا انما انما 1 0 3 ( a ) P = 2 0 0 a 1 3 1 3 0 ...
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Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |
Common terms and phrases
activity algebraic algorithm allocation allowable range artificial variables assignment problem augmenting path basic solution Big M method changes coefficients column Consider the following constraint boundary corresponding CPLEX decision variables dual problem dynamic programming entering basic variable example feasible region feasible solutions final simplex tableau final tableau following problem formulation functional constraints Gaussian elimination given goal goal programming graphically identify increase initial BF solution integer interior-point iteration leaving basic variable linear programming model linear programming problem LP relaxation lution Maximize Maximize Z maximum flow problem Minimize needed node nonbasic variables objective function obtained optimal solution optimality test path Plant presented in Sec primal problem Prob procedure range to stay resource right-hand sides sensitivity analysis shadow prices slack variables solve this model Solver spreadsheet step subproblem surplus variables tion transportation problem transportation simplex method weeks Wyndor Glass x₁ zero
Bibliographic information
| Title | Introduction to Operations Research, Volume 1 Introduction to Operations Research, Frederick S. Hillier 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 | the University of Michigan |
| Digitized | 8 Aug 2011 |
| ISBN | 0072321695, 9780072321692 |
| Length | 1214 pages |
| Export Citation | BiBTeX EndNote RefMan |