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首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >A Gradient Projection Algorithm with a New Stepsize for Nonnegative Sparsity-Constrained Optimization
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A Gradient Projection Algorithm with a New Stepsize for Nonnegative Sparsity-Constrained Optimization

机译：A Gradient Projection Algorithm with a New Stepsize for Nonnegative Sparsity-Constrained Optimization

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摘要

Nonnegative sparsity-constrained optimization problem arises in many fields, such as the linear compressing sensing problem and the regularized logistic regression cost function. In this paper, we introduce a new stepsize rule and establish a gradient projection algorithm. We also obtain some convergence results under milder conditions.

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    Li Ye; Sun Jun; Qu Biao;

  • 作者单位

    Qufu Normal Univ, Rizhao 276826, Shandong, Peoples R China|Shandong Womens Univ, Jinan 250300, Shandong, Peoples R China;

    Beijing Jiaotong Univ, Beijing 100044, Peoples R China;

    Qufu Normal Univ, Rizhao 276826, Shandong, Peoples R China;

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