• LowRankModels

  • Referenced in 19 articles [sw27002]
  • scalings to the model without destroying sparsity, which is useful when the data is poorly...
  • SparseFIS

  • Referenced in 10 articles [sw13736]
  • Data-Driven Learning of Fuzzy Systems With Sparsity Constraints. n this paper, we deal with ... least-squares error measure by applying a sparsity-constrained steepest descent-optimization procedure. Depending ... sparsity threshold, weights of many or a few rules can be forced toward 0, thereby ... linear consequent parameters by a regularized sparsity-constrained-optimization procedure for each rule separately (local...
  • CONTEST

  • Referenced in 18 articles [sw12738]
  • more parameters that affect features such as sparsity and characteristic pathlength...
  • PARSEC

  • Referenced in 18 articles [sw22333]
  • calculation of spatial derivatives. Owing to the sparsity of the Hamiltonian matrix, the Kohn-Sham...
  • CHOMPACK

  • Referenced in 12 articles [sw04593]
  • algorithms for matrix computations with chordal sparsity patterns. It includes routines for Cholesky factorization ... cone of positive definite matrices with chordal sparsity pattern, and evaluation of gradient, Hessian...
  • EdgeCS

  • Referenced in 11 articles [sw14134]
  • analysis, and understanding. In compressive sensing, the sparsity of image edges has been successfully utilized ... complex-valued images, it incorporates joint sparsity between the real and imaginary components. EdgeCS...
  • Sparse-BSOS

  • Referenced in 9 articles [sw31772]
  • hierarchy for large scale polynomial optimization with sparsity. We provide a sparse version ... large scale problems which satisfy a structured sparsity pattern. When the sparsity pattern satisfies...
  • Amesos

  • Referenced in 13 articles [sw10740]
  • parameters; initialization of the solver, using matrix sparsity only; computation of the factors; solution...
  • EbayesThresh

  • Referenced in 13 articles [sw11103]
  • plus white noise, taking advantage of possible sparsity in the mean vector. Within a Bayesian...
  • ADiGator

  • Referenced in 9 articles [sw19688]
  • product of the file generation is the sparsity pattern of the derivative function. Moreover, because ... ability to statically exploit derivative sparsity at the MATLAB operation level to improve runtime performance...
  • SBmethod

  • Referenced in 12 articles [sw07710]
  • structural properties of the matrices such as sparsity and low rank structure. The code comes...
  • ParNes

  • Referenced in 12 articles [sw08366]
  • restricted isometry property (rip) and a sparsity condition on the solution, that nesta-lasso...
  • SparseCoLO

  • Referenced in 8 articles [sw04768]
  • methods, two methods utilize the domain-space sparsity of a semidefinite matrix variable ... other two methods the range-space sparsity of a linear matrix inequality (LMI) constraint...
  • hess_pat

  • Referenced in 8 articles [sw11167]
  • differentiation. A new approach for computing a sparsity pattern for a Hessian is presented: nonlinearity ... proposed algorithm is given. Once the sparsity pattern is available, coloring algorithms can be applied...
  • McIPM

  • Referenced in 11 articles [sw07097]
  • implementation are addressed. Numerical stability and sparsity of the normal equation system are explored...
  • SELL_C_sigma

  • Referenced in 11 articles [sw11232]
  • there is no structure in the sparsity pattern of the matrix. We suggest SELL...
  • CIMGS

  • Referenced in 11 articles [sw17583]
  • guaranteed, based solely on the target sparsity pattern...
  • PPROJ

  • Referenced in 7 articles [sw21258]
  • Projection onto a polyhedron that exploits sparsity. An algorithm is developed for projecting a point ... projection. The techniques in the paper exploit sparsity. Sparse reconstruction by separable approximation (SpaRSA...
  • KPP

  • Referenced in 10 articles [sw10179]
  • Efficiency is obtained by carefully exploiting the sparsity structures of the Jacobian...