# Bidiagonalization

## Papers overview

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2012

2012

- Proceedings of The Asia Pacific Signal andâ€¦
- 2012

Householder bidiagonalization is the first step of Singular Value Decomposition (SVD) - an important algorithm in numericalâ€¦Â (More)

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2009

2009

- Euro-Par
- 2009

With the increasing use of high-resolution multimedia streams and large image and video archives in many of todayâ€™s research andâ€¦Â (More)

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2008

2008

- ACM Trans. Math. Softw.
- 2008

On cache based computer architectures using current standard algorithms, Householder bidiagonalization requires a significantâ€¦Â (More)

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2007

2007

- 2007

The L-curve is often applied to determine a suitable value of the regularization parameter when solving ill-conditioned linearâ€¦Â (More)

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2007

2007

- SIAM J. Matrix Analysis Applications
- 2007

Two new algorithms for one-sided bidiagonalization are presented. The first is a block version which improves execution time byâ€¦Â (More)

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2007

2007

- 2007

This paper presents an O(mn log m) algorithm for bidiagonalizing a Hankel matrix. An mÃ—n Hankel matrix is reduced to a realâ€¦Â (More)

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2006

2006

- Numerical Algorithms
- 2006

The problem of computing a few of the largest or smallest singular values and associated singular vectors of a large matrixâ€¦Â (More)

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Highly Cited

2005

Highly Cited

2005

- SIAM J. Scientific Computing
- 2005

New restarted Lanczos bidiagonalization methods for the computation of a few of the largest or smallest singular values of aâ€¦Â (More)

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Highly Cited

2000

Highly Cited

2000

- SIAM J. Scientific Computing
- 2000

Low-rank approximation of large and/or sparse matrices is important in many applications, and the singular value decompositionâ€¦Â (More)

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Highly Cited

1982

Highly Cited

1982

- ACM Trans. Math. Softw.
- 1982

An iterative method is given for solving Ax ~ffi b and minU Ax b 112, where the matrix A is large and sparse. The method is basedâ€¦Â (More)

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