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A Projection Proximal-Point Algorithm for ℓ1 Minimization

机译:最小化“ 1 ”的投影近点算法

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摘要

The problem of the minimization of least squares functionals with ℓ1 penalties is considered in an infinite dimensional Hilbert space setting. Though there are several algorithms available in the finite dimensional setting there are only a few of them that come with a proper convergence analysis in the infinite dimensional setting.
机译:在无穷维希尔伯特空间设置中考虑了最小化带有“ 1 罚分的最小二乘泛函的问题”。尽管在有限维设置中有几种可用的算法,但只有少数算法在无限维设置中进行了适当的收敛性分析。

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