2011年8月13日 · Jiri's answer gives the intuitive explanation. Formally, the fact that an optimal solution lies at an extreme point is a consequence of the representation theorem for polyhedra …

2014年11月6日 · Find the optimal solution of the problem $$\min \Bigg \{ \int_0^1 [x^\prime (t)^2 + 2x(t)^2]e^t dt : x(0) = 0, x(1) = e - e^{-2}\Bigg \}$$ and the value of the minimum.

2016年10月9日 · The other condition means that all reduced costs are nonnegative, so there does not exist a candidate entering variable that may improve the objective value - so the …

2022年9月7日 · How to find optimal solution when simplex tableau in optimal form has negative solutions? Hot Network Questions Can a planet rotate on a 90 degree axis and be tidally-locked?

$\begingroup$ I have problems to say optimal solutions. In the question it is stated, that the set is unbounded. Thus there is no optimal solution like a specific combination or a line. You can …

2018年11月2日 · Optimal means it is the best value with respect to the objective value that you are considering. In this case, the objective value is the maximum. You can use duality theorem …

Yes, solving the dual problem will give you a solution to the primal problem as well. Remember that each slack variable associated with a constraint in the primal problem corresponds to a …

2018年8月14日 · The convexity of constraint region is key for the solution, so the solution for your setup will always exist when $\hat{A}\hat{X}=\hat{B}$ has non-negative solutions. EDIT: There …

2017年6月25日 · Linear Programming problem: optimal solution, feasable solution space, range variation coefficient, shadow prices, right hand side ranges Ask Question Asked 7 years, 7 …

2019年9月9日 · Stack Exchange Network. Stack Exchange network consists of 183 Q&A communities including Stack Overflow, the largest, most trusted online community for …