# Linear equation

## Papers overview

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Highly Cited

2014

Highly Cited

2014

- 2014

Recall the Cauchy-Kovalevskaya warm-up exercise from last week. There you showed that the transport equation ∂tu+cux = 0 admits… (More)

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Highly Cited

2012

Highly Cited

2012

- IEEE Transactions on Information Theory
- 2012

Finding the sparsest solution to underdetermined systems of linear equations y = Φx is NP-hard in general. We show here that for… (More)

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Highly Cited

2010

Highly Cited

2010

- SIAM Review
- 2010

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

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Highly Cited

2006

Highly Cited

2006

- 2006

Finding the sparsest solution to underdetermined systems of linear equations y = Φx is NP-hard in general. We show here that for… (More)

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Highly Cited

2005

Highly Cited

2005

- IEEE Transactions on Information Theory
- 2005

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

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Highly Cited

2004

Highly Cited

2004

- 2004

We consider linear equations y = Φα where y is a given vector in R, Φ is a given n by m matrix with n < m ≤ An, and we wish to… (More)

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Highly Cited

1990

Highly Cited

1990

- SIGARCH Computer Architecture News
- 1990

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

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Highly Cited

1986

Highly Cited

1986

- IEEE Trans. Information Theory
- 1986

Ahstruct-A “coordinate recurrence” method for solving sparse systems of linear equations over finite fields is described. The… (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 based… (More)

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Highly Cited

1952

Highly Cited

1952

- 1952

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

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