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A gradient projection algorithm with a new stepsize for nonnegative sparsity-constrained optimization - MaRDI portal

A gradient projection algorithm with a new stepsize for nonnegative sparsity-constrained optimization (Q2007126)

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scientific article; zbMATH DE number 7259641
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A gradient projection algorithm with a new stepsize for nonnegative sparsity-constrained optimization
scientific article; zbMATH DE number 7259641

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    A gradient projection algorithm with a new stepsize for nonnegative sparsity-constrained optimization (English)
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    12 October 2020
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    Summary: 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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