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报告题目:
请注意报告地点变化Optimality Conditions and a Smoothing Trust Region Newton Method for Non-Lipschitz Optimization
 报告人:
袁亚湘
中科院院士,前任中国运筹学会理事长(现为学会的名誉理事长)
报告时间:
2013-04-18 14:00
报告地点:
舜德楼北412演讲厅
主办单位:
清华大学工业工程系
  简介:
Regularized minimization problems with nonconvex, nonsmooth, perhaps non-Lipschitz  penalty functions have attracted considerable attention in recent years, owing to their wide applications in image restoration, signal reconstruction and variable selection. In this talk, we derive affine-scaled second order necessary and sufficient conditions for local minimizers of such minimization problems. Moreover, we propose a global convergent smoothing trust region Newton method which can find a point satisfying the affine-scaled second order necessary optimality condition from any starting point. Numerical examples are given to demonstrate the effectiveness of the optimality conditions and the smoothing trust region Newton method.
 
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