Chapter 6 , Operations Research ( OR )
نویسنده
چکیده
Maximize ZD = b T y s.t. (D) A y + s = c, s ≥ 0n. where we have here chosen to add slack variables s ≥ 0n. The simplex method, as presented previously, works by starting with an initial basic feasible solution to (P) (which can be found via a phase 1 problem). However, what if a dual feasible basis is immediately available, whereas a basic feasible solution to (P) is harder to obtain? Can this fact be exploited in an algorithm? The dual simplex method starts with a basic feasible solution to (D) instead exploits such a situation. Given a basis B, we showed in Chapter 5 that the problem (P) can be reformulated as the following linear program
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