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最小化l1范数的Matlab代码
- 最小化l1范数的Matlab代码。求解模型为: min lambda*|x|_1+||A*x-y||_2。其中,|x|_1表示x的1-范数,||*||_2表示2-范数。该模型在稀疏成分分析、压缩传感器等领域有广泛的用途。, l1-Regularized Least Squares Problem Solver l1_ls solves problems of the following form: minimize ||A*x-y||^2+ lambd
Spectral Projected Gradient for L1 minimization
- SPGL1 is a Matlab solver for large-scale one-norm regularized least squares.It is designed to solve any of the following three problems: 1. Basis pursuit denoise (BPDN): minimize ||x||_1 subject to ||Ax - b||_2 <= sigma, 2. Basis pursuit (BP): min
spgl1_1.9
- %SPGL1 Solve basis pursuit, basis pursuit denoise, and LASSO % % [x, r, g, info] = spgl1(A, b, tau, sigma, x0, options) % % --------------------------------------------------------------------- % Solve the basis pursuit denoise (BPDN) problem