2017年06月26日 |  English version
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PASA: An efficient software for optimization with polyhedral constraints

报告题目:PASA: An efficient software for optimization with polyhedral constraints

报告人:Dr.Hongchao ZhangLouisiana State University

报告时间:2017年6月19日(周一)15:00

报告地点:行健楼学术报告室526

邀请人:孙文瑜教授

摘要:Abstract: In this talk, we introduce the software PASA, which is developed for solving a nonlinear optimization whose feasible set is apolyhedron. The algorithm behind this work has two phases. Phase one of the algorithm is the gradient projection method, while phase two is any algorithm for solving a linearly constrained optimization. Asymptotically, PASA performs only phase two when either a nondegeneracy assumption holds, or the active constraints are linearly independent and a strong second-order sufficient optimality condition holds.  We will show some numerical results compared with state-of-the art software IPOPT.

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