Introduction to Operations Research, Volume 1-- This classic, field-defining text is the market leader in Operations Research -- and it's now updated and expanded to keep professionals a step ahead -- Features 25 new detailed, hands-on case studies added to the end of problem sections -- plus an expanded look at project planning and control with PERT/CPM -- A new, software-packed CD-ROM contains Excel files for examples in related chapters, numerous Excel templates, plus LINDO and LINGO files, along with MPL/CPLEX Software and MPL/CPLEX files, each showing worked-out examples |
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Page 539
In general , the states are the various possible conditions in which the system might be at that stage of the problem . The number of states may be either finite ( as in the stagecoach problem ) or infinite ( as in some subsequent ...
In general , the states are the various possible conditions in which the system might be at that stage of the problem . The number of states may be either finite ( as in the stagecoach problem ) or infinite ( as in some subsequent ...
Page 556
We now have an infinite number of possible states ( 240 SS3 255 ) , so it is no longer feasible to solve separately for x for each possible value of sz . Therefore , we instead have solved for it as a function of the unknown Sz . Using ...
We now have an infinite number of possible states ( 240 SS3 255 ) , so it is no longer feasible to solve separately for x for each possible value of sz . Therefore , we instead have solved for it as a function of the unknown Sz . Using ...
Page 560
It only means that , instead of considering all possible values of the one state variable , we must consider all possible combinations of values of the several state variables . However , from the standpoint of computational efficiency ...
It only means that , instead of considering all possible values of the one state variable , we must consider all possible combinations of values of the several state variables . However , from the standpoint of computational efficiency ...
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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 |