Introduction to Mathematical ProgrammingIntended for Mathematical Programming courses at the undergraduate level. Course can be found in business schools-especially MBA programs-as Management Science and Operations Research. Providing the background in mathematics departments, the course may also be called Linear Programming or Optimization. Necessary to begin using mathematical programming as a tool for managerial applications and beyond, this empowering guide helps students learn to recognize when a mathematical model can be useful and helps them develop an appreciation and understanding of the mathematics associated with the applied techniques. Formatted in a flexible framework to suit individual course needs, it presents self-contained chapters later in the book which are designed to work in the order an instructor deems most suitable. For more information, please visit: http://www.math.cmu.edu/~rw1k/ |
From inside the book
Results 1-3 of 87
... objective function . We thus use the constraints to express the artificial variables in terms of the other variables . In the example , the artificial objective function then becomes : -a2a3 = = - -- -- − ( 24 – 2x1 − 2x2 + 82 ) ...
... objective function indicated by the entries in the objective row of the optimal tableau are valid . A change in the resource beyond those limits will change the set of variables in the optimal basis , and the objective function change ...
... objective function coefficient affects the slope of the level curves of the objective function . To illustrate this , the figure shows the set of feasible solutions with three level curves of objective functions , drawn as broken lines ...