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» SelInv - An Algorithm for Selected Inversion of a Sparse Sym...
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TOMS
2011
54views more  TOMS 2011»
13 years 17 days ago
SelInv - An Algorithm for Selected Inversion of a Sparse Symmetric Matrix
Lin Lin, Chao Yang, Juan C. Meza, Jianfeng Lu, Lex...
CORR
2010
Springer
228views Education» more  CORR 2010»
13 years 4 months ago
Sparse Inverse Covariance Selection via Alternating Linearization Methods
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
Katya Scheinberg, Shiqian Ma, Donald Goldfarb
SIAMSC
2011
140views more  SIAMSC 2011»
12 years 8 months ago
A Fast Parallel Algorithm for Selected Inversion of Structured Sparse Matrices with Application to 2D Electronic Structure Calcu
Abstract. An efficient parallel algorithm is presented and tested for computing selected components of H−1 where H has the structure of a Hamiltonian matrix of two-dimensional la...
Lin Lin, Chao Yang, Jianfeng Lu, Lexing Ying, Wein...
CPHYSICS
2007
222views more  CPHYSICS 2007»
13 years 5 months ago
JADAMILU: a software code for computing selected eigenvalues of large sparse symmetric matrices
A new software code for computing selected eigenvalues and associated eigenvectors of a real symmetric matrix is described. The eigenvalues are either the smallest or those closes...
Matthias Bollhöfer, Yvan Notay
ICML
2006
IEEE
14 years 6 months ago
Convex optimization techniques for fitting sparse Gaussian graphical models
We consider the problem of fitting a large-scale covariance matrix to multivariate Gaussian data in such a way that the inverse is sparse, thus providing model selection. Beginnin...
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...