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Results 1-3 of 96
Page 216
Even when the simplex method has gone through hundreds or thousands of
iterations , the coefficients of the slack variables in the final tableau will reveal
how this tableau has been obtained from the initial tableau . Furthermore , the
same ...
Even when the simplex method has gone through hundreds or thousands of
iterations , the coefficients of the slack variables in the final tableau will reveal
how this tableau has been obtained from the initial tableau . Furthermore , the
same ...
Page 252
With the Big M method , since M has been added initially to the coefficient of each
artificial variable in row 0 , the current value of each corresponding dual ... After M
is subtracted from the coefficients of the artificial variables ła and , the optimal ...
With the Big M method , since M has been added initially to the coefficient of each
artificial variable in row 0 , the current value of each corresponding dual ... After M
is subtracted from the coefficients of the artificial variables ła and , the optimal ...
Page 273
Analyzing Simultaneous Changes in Objective Function Coefficients .
Regardless of whether x ; is a basic or nonbasic variable , the allowable range to
stay optimal for Cj is valid only if this objective function coefficient is the only one
being ...
Analyzing Simultaneous Changes in Objective Function Coefficients .
Regardless of whether x ; is a basic or nonbasic variable , the allowable range to
stay optimal for Cj is valid only if this objective function coefficient is the only one
being ...
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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 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
Bibliographic information
| Title | Introduction to Operations Research, Volume 1 Introduction to Operations Research, Frederick S. Hillier 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 | 0072416181, 9780072416183 |
| Length | 1214 pages |
| Export Citation | BiBTeX EndNote RefMan |