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Bidiagonalization

Known as: Bi-diagonalization 
Bidiagonalization is one of unitary (orthogonal) matrix decompositions such that U* A V = B, where U and V are unitary (orthogonal) matrices… 
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Papers overview

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2015
2015
The emergence of multicore and heterogeneous architectures requires many linear algebra algorithms to be redesigned to take… 
2013
2013
The LSQR iterative method for solving least-squares problems may require many iterations to determine an approximate solution… 
2011
2011
The serial Jacobi algorithm (either one-sided or two-sided) for the computation of a singular value decomposition (SVD) of a… 
2006
2006
• First, the lower bidiagonal matrix A11 with nonzero bidiagonal elements has full column rank and its singular values are simple… 
2005
2005
Block algorithms have better performance than scalar and single vector algorithms due to their exploitation of memory hierarchy… 
2004
2004
In this dissertation we discuss how simple Krylov subspace methods can be used for information retrieval (IR). The dissertation… 
2003
2003
We describe the development of a method for the efficient computation of the smallest singular values and corresponding vectors… 
1998
1998
Many applications require the solution of large nonsymmetric linear systems with multiple right-hand sides. Instead of applying… 
1998
1998
Two new effective least squares algorithms——the modified bidiagonalization least squares algorithms(MBLS Ⅰ and MBLS Ⅱ) are…