LMSVD is a Matlab solver for computing truncated (dominant) singular value decompositions of relatively large matrices. The code uses a subspace optimization technique to achieve significant accelerations to the classic simultaneous subspace iterations method, and is typically much faster than the Matlab's default function "svds".
In the case you use LMSVD in your published work, please make a reference to the following paper.
Xin Liu, Zaiwen Wen and Yin Zhang, Limited Memory Block Krylov Subspace Optimization for Computing Dominant Singular Value Decompositions, SIAM Journal on Scientific Computing, 35-3 (2013), A1641-A1668.
XIN LIU (2023). lmsvd.m (https://www.mathworks.com/matlabcentral/fileexchange/46875-lmsvd-m), MATLAB Central File Exchange. Retrieved .
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Two user-reported bugs, which may cause unexpected results in some extreme instances, have been corrected.
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