zeroSR1

版本 1.0.0.0 (188.4 KB) 作者: Stephen Becker

Very fast code for solving lasso and non-negative least-squares problems

https://github.com/stephenbeckr/zeroSR1

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更新时间 2018/4/18

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Proximal gradient algorithm for convex optimization, using a diagonal +/- rank-1 norm. Uses special tricks to allow the use of a quasi-Newton methods.

引用格式

Stephen Becker (2024). zeroSR1 (https://github.com/stephenbeckr/zeroSR1), GitHub. 检索时间: 2024/11/23.

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创建方式 R2011a

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Mathematics and Optimization > Optimization Toolbox > Least Squares > Linear Least Squares >

在 Help Center 和 MATLAB Answers 中查找有关 Linear Least Squares 的更多信息

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致谢

参考作品: NNLS and constrained regression, predictor-corrector algorithm, nnls, active set algorithm, newton's algorithm for nnls, MTRON, LARS algorithm, LBFGSB (L-BFGS-B) mex wrapper, mex interface for bound constrained optimization via ASA, nnls - Non negative least squares, Simple MATLAB example code and generic function to perform LASSO

启发作品: mex interface for bound constrained optimization via ASA

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setup_zeroSR1

algorithms

zeroSR1

paperExperiments/Lasso

proxes

smoothFunctions

tests

utilities

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版本	已发布	发行说明
1.0.0.0	2018/4/18

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