大型稀疏矩阵的完整SVD（只需要特征值）

I am trying to run the full SVD of a large (120k x 600k) and sparse (0,1% of non-null values) matrix M. Due to memory limitation all my previous attempts failed (with SVDLIBC, Octave, and R) and I am (almost) resigned to exploring other approaches to my problem (LSA).I am trying to run the full SVD of a large (120