
SelInv
 Referenced in 30 articles
[sw13937]
 SelInv  An Algorithm for Selected Inversion of a Sparse Symmetric Matrix. We describe an efficient ... implementation of an algorithm for computing selected elements of a general sparse symmetric matrix...

ML
 Referenced in 87 articles
[sw20907]
 MittagLeffler function based on the numerical inversion of its Laplace transform. The approach taken ... parabolic contour algorithm selects the region in which the numerical inversion of the Laplace transform...

Pselinv
 Referenced in 5 articles
[sw25225]
 distributed memory parallel algorithm for selected inversion, the symmetric case. We describe an efficient parallel ... implementation of the selected inversion algorithm for distributed memory computer systems, which we call PSelInv ... PSelInv method computes selected elements of a general sparse matrix A that can be decomposed...

DGDFT
 Referenced in 7 articles
[sw41922]
 using the pole expansion and selected inversion (PEXSI) technique to compute electron density, energy...

ELSI
 Referenced in 3 articles
[sw29868]
 minimization method); PEXSI (pole expansion and selected inversion); EigenExa (massively parallel dense eigensolvers); SLEPcSIPs...

ghyp
 Referenced in 26 articles
[sw08162]
 special cases (Hyperbolic (hyp), Normal Inverse Gaussian (NIG), Variance Gamma (VG), skewed Student ... contains fitting procedures, an AICbased model selection routine, and functions for the computation ... test. In addition, it contains the Generalized Inverse Gaussian distribution...

CMAES
 Referenced in 120 articles
[sw05063]
 stochastic way, and then some individuals are selected for the next generation based on their ... function similar to the approximation of the inverse Hessian matrix in the QuasiNewton method...

OptiML
 Referenced in 3 articles
[sw05117]
 Matlab interface which solve the sparse inverse covariance selection problem. OptiML is released as open...

PEXSI
 Referenced in 1 article
[sw34243]
 PEXSI: The Pole EXpansion and Selected Inversion (PEXSI) method is a fast method for electronic ... density functional theory. It efficiently evaluates certain selected elements of matrix functions, e.g., the Fermi...

qMTLab
 Referenced in 1 article
[sw31372]
 state free precession (MT‐bSSFP), and selective inversion recovery with fast spin echo...

edrGraphicalTools
 Referenced in 12 articles
[sw11105]
 illustrate the articles ”A graphical tool for selecting the number of slices and the dimension ... SAVE approaches” and ”Comparison of sliced inverse regression approaches for underdetermined cases...

CHOMPACK
 Referenced in 14 articles
[sw04593]
 pattern, and evaluation of gradient, Hessian, and inverse Hessian of the conjugate barrier. The library ... algorithms in the paper Covariance selection for nonchordal graphs via chordal embedding...

mombf
 Referenced in 3 articles
[sw15463]
 package mombf: Moment and Inverse Moment Bayes Factors. Model selection and parameter estimation based...

RidgeFusion
 Referenced in 2 articles
[sw27161]
 ridge fusion for inverse matrix estimation, as well as tuning parameter selection functions. We have...

ROCKET
 Referenced in 13 articles
[sw30016]
 procedure for estimating parameters in the latent inverse covariance matrix. We establish asymptotic normality ... mild assumptions, without relying on oracle model selection results. ROCKET requires the same number...

MAVE
 Referenced in 3 articles
[sw38410]
 KSIR (sliced inverse regression of kernel version). Methods for selecting the best dimension are also...

SurvTrunc
 Referenced in 1 article
[sw32872]
 weights correspond to the inverse of the selection probabilities and are estimated using the survival...

SCIRun
 Referenced in 22 articles
[sw06756]
 computational workbench” in which a user selects software modules that can be connected ... mechanical simulation, ECG and EEG forward and inverse calculations, modeling of deep brain stimulation, electromyography...

GeoBO
 Referenced in 1 article
[sw36971]
 probabilistic framework: from prior selection and input, data fusion and inversion, to the final sensor...

ADMMFTIRE
 Referenced in 1 article
[sw41249]
 Fourier transform sparse inverse regression estimators for sufficient variable selection. Sufficient dimension reduction aims ... have studied an impressive range of sparse inverse regression estimators. Nonetheless, conspicuously less attention...