Low-Rank Matrix Approximation Using the Lanczos Bidiagonalization Process with Applications
SIAM Journal on Scientific Computing
Dynamical Low-Rank Approximation
SIAM Journal on Matrix Analysis and Applications
Singular values of two-parameter matrices: an algorithm to accurately find their intersections
Mathematics and Computers in Simulation
Dynamical low-rank approximation: applications and numerical experiments
Mathematics and Computers in Simulation
Two-Parameter SVD: Coalescing Singular Values and Periodicity
SIAM Journal on Matrix Analysis and Applications
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part IV
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Abstract: Consider a matrix valued function A(x)@?R^m^x^n, m=n, smoothly depending on parameters x@?@W@?R^2, where @W is simply connected and bounded. We consider a technique to locate parameter values where some of the q dominant (q@?n) singular values of A coalesce, in the specific case when A is large and mn@?q.