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Eigenvalue algorithm

Known as: Eigensolver, Matrix eigenvalue problem, Symbolic computation of matrix eigenvalues 
In numerical analysis, one of the most important problems is designing efficient and stable algorithms for finding the eigenvalues of a matrix, or… 
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Papers overview

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Highly Cited
2015
Highly Cited
2015
Based on the nonlinearization technique, a binary Bargmann symmetry constraint associated with a new discrete 3 × 3 matrix… 
Highly Cited
2013
Highly Cited
2013
We consider an eigensolver for computing eigenvalues in a given domain and the corresponding eigenvectors of large-scale matrix… 
2012
2012
Obtaining highly accurate predictions for properties of light atomic nuclei using the Configuration Interaction (CI) approach… 
Highly Cited
2010
Highly Cited
2010
This paper is the first extensive performance study of a recently proposed parallel programming model, called Concurrent… 
Highly Cited
2004
Highly Cited
2004
The effects of curvature on the structure, electronic and optical properties of isolated single-walled carbon nanotubes are… 
Highly Cited
2003
Highly Cited
2003
This paper proposes a new software architecture framework, named FIBER, to generalize auto-tuning facilities and obtain highly… 
2000
2000
A general theoretical formulation to analyze inhomogeneously filled waveguides with lossy dielectrics is presented in this paper… 
Highly Cited
1989
Highly Cited
1989
We consider the discrete spectrum of the Schrodinger operator with homogeneous magnetic potential and decreasing electric… 
Highly Cited
1988
Highly Cited
1988
A nonparametric spectral estimation method is presented for bandlimited random processes that have been sampled at arbitrary…