Transcription of Solving Linear Programs 2
{{id}} {{{paragraph}}}
Example: air traffic controller
Solving Linear Programs 2
Solving Linear Programs2In this chapter, we present a systematic procedure for Solving Linear Programs . This procedure, called thesimplex method,proceeds by moving from one feasible solution to another, at each step improving the valueof the objective function. Moreover, the method terminates after a finite number of such characteristics of the simplex method have led to its widespread acceptance as a computational , the method is robust. It solvesanylinear program; it detects redundant constraints in the problemformulation; it identifies instances when the objective value is unbounded over the feasible region; and itsolves problems with one or more optimal solutions.
simplex method, proceeds by moving from one feasible solution to another, at each step improving the value of the objective function. Moreover, the method terminates after a finite number of such transitions. Two characteristics of the simplex method have led to its widespread acceptance as a computational tool. First, the method is robust.
Loading..
Tags:
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document: