软阈值matlab代码-nonconvex-optimization:Matlab/Octave工具箱用于非凸优化

上传者: 38679449 | 上传时间: 2021-08-25 14:00:32 | 文件大小: 467KB | 文件类型: ZIP
软阈值matlab代码非凸优化工具箱 这个matlab工具箱提出了一种通用的求解器,用于在凸或非凸情况下进行近端梯度下降。 它是对[1]中提出的GIST算法的完全重新实现,其中包含新的正则化项,例如p = 1/2的lp伪范数。 在您的研究工作中使用此工具箱时,请引用以下文章: D. Tuia, R. Flamary and M. Barlaud, "Non-convex regularization in remote sensing", IEEE transactions Transactions on Geoscience and Remote Sensing, (to appear) 2016. 该代码解决了以下形式的优化问题: min_x f(x)+ lambda g(x) 我们提供用于解决以下数据拟合项f(x)问题的求解器: 最小二乘(线性回归) 具有二次铰链损耗的线性SVM 线性逻辑回归 校准的铰链损耗 已实施的正则化项g(x)包括: 套索(l1) 里奇(平方L2) 对数和罚分(LSP)([2],[1]中的代理) p = 1/2的lp正则化([3]中的prox) 组套索(l

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