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TVL1_HCS_v1
- % May 2010 % This matlab code implements TVL1 based Hybrid Compressive Sensing using LSQR. % Only suitable the small scale data due to the costly storage and computation. % % A - M x N measurement matrix: random sampling alone or hybrid sampling (ran
lsqr_b
- 此算法为用于解反问题的lsqr算法,对Ax=b,输入矩阵A,列向量b,以及迭代步数,求得列向量x-This algorithm is used for solution of the inverse problem lsqr algorithm, Ax = b, the input matrix A, the column vector b, as well as the number of iterative steps, to seek the column vector x
lsqr-matlab
- matlab实现lsqr算法的源码,有强烈的参考价值,可用于地球物理反演。-matlab realize lsqr algorithm source code, there is a strong reference value, can be used for geophysical inversion.
lsqr
- 最小二乘matlab算法,可以直接调用,用于数学算法,稀疏变换,求解等需要用到- Matlab least squares algorithm, can be called directly for mathematical algorithms, sparse transformation, such as the need to use to solve
LSQR-NNL
- 可用于求解超大规模线性方程组非负解的MATLAB函数-Given a tall full-rank matrix A, solves the nonnegative least squares problem: min ||Ax-b|| s.t. x>= 0 and returns the minimizer x. The argument err is the tolerance used in testing for zeros