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Review

2016

Review

2016

Machine learning techniques are applied for solving a large variety of practical problems. The tasks attacked by machine learning… Expand

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Highly Cited

2010

Highly Cited

2010

The affine rank minimization problem consists of finding a matrix of minimum rank that satisfies a given system of linear… Expand

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Highly Cited

2005

Highly Cited

2005

This paper considers a natural error correcting problem with real valued input/output. We wish to recover an input vector f/spl… Expand

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Highly Cited

2004

Highly Cited

2004

Supernode partitioning for unsymmetric matrices together with complete block diagonal supernode pivoting and asynchronous… Expand

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Highly Cited

1992

Highly Cited

1992

This report compares the performance of different computer systems in solving dense systems of linear equations. The comparison… Expand

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Highly Cited

1986

Highly Cited

1986

A "coordinate recurrence" method for solving sparse systems of linear equations over finite fields is described. The algorithms… Expand

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Highly Cited

1983

Highly Cited

1983

We consider a class of iterative algorithms for solving systems of linear equations where the coefficient matrix is nonsymmetric… Expand

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Highly Cited

1982

Highly Cited

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 based… Expand

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Highly Cited

1952

Highly Cited

1952

In an earlier publication [14] a method was described which generated the eigenvalues and eigenvectors of a matrix by a… Expand

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Highly Cited

1938

Highly Cited

1938

The literature concerning these equations being very extensive, we shall not attempt to give a complete list of references. The… Expand

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