• 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]
  • Mittag-Leffler 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); SLEPc-SIPs...
  • ghyp

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

  • 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 Quasi-Newton 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 non-chordal 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...