【摘 要】
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The problem we consider is minimizing the sum of ell_0-norm and a convex smooth function under box constraint.We propose one proximal iterative hard thresho
【机 构】
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ShanghaiJiaoTongUniversity
【出 处】
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2016信号处理、优化与控制国际研讨会(2016 International Workshop on Signal Pr
论文部分内容阅读
The problem we consider is minimizing the sum of ell_0-norm and a convex smooth function under box constraint.We propose one proximal iterative hard thresholding type method with an extrapolation step and establish its convergence results.In detail,the sequence generated by the method converges to a local minimizer of the objective function.Finally,we conduct numerical experiments on compressive sensing and logistic regression problems,and compare with some other efficient methods.
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