• MATLAB expm

  • Referenced in 174 articles [sw14349]
  • MATLAB function expm. The method scales the matrix by a power of 2 to reduce ... order 1, computes a Padé approximant to the matrix exponential, and then repeatedly squares...
  • CMA-ES

  • Referenced in 121 articles [sw05063]
  • conditioned. Adaptation of the covariance matrix amounts to learning a second order model ... function similar to the approximation of the inverse Hessian matrix in the Quasi-Newton method...
  • PSI-BLAST

  • Referenced in 235 articles [sw17324]
  • gapped BLAST program that runs at approximately three times the speed of the original ... BLAST into a position-specific score matrix, and searching the database using ... this matrix. The resulting Position-Specific Iterated BLAST (PSIBLAST) program runs at approximately the same...
  • RandNLA

  • Referenced in 22 articles [sw41749]
  • least-squares (LS) approximation, low-rank matrix approximation, and Laplacian-based linear equation solvers...
  • NeNMF

  • Referenced in 34 articles [sw17586]
  • powerful matrix decomposition technique that approximates a nonnegative matrix by the product ... converges optimally at rate in optimizing each matrix factor, it is superior ... terms of efficiency as well as approximation accuracy. Compared to PNLS and AS that suffer...
  • LSODE

  • Referenced in 135 articles [sw04374]
  • banded matrix, and as either user-supplied or internally approximated by difference quotients. It uses...
  • ADMiRA

  • Referenced in 35 articles [sw31664]
  • rank matrix posing the inverse problem as an approximation problem with a specified target rank ... minimum rank solution satisfying a prescribed data approximation bound. We propose an atomic decomposition providing ... sparse vector and a low-rank matrix and extending efficient greedy algorithms from the vector ... approximately low-rank solution. With a sparse measurement operator as in the matrix completion problem...
  • BEAN

  • Referenced in 73 articles [sw09636]
  • producing a symmetric coefficient matrix. In addition, the Galerkin approximation allows standard continuous elements...
  • SPGL1

  • Referenced in 196 articles [sw08365]
  • approximately minimizes a least-squares problem with an explicit one-norm constraint. Only matrix-vector...
  • SDPNAL+

  • Referenced in 59 articles [sw13239]
  • partial or full nonnegative constraints on the matrix variable. SDPNAL+ is a much enhanced version ... tensor approximation problems constructed by J. Nie and L. Wang [SIAM J. Matrix Anal. Appl ... largest rank-1 tensor approximation problem we solved (in about 14.5 h) is nonsym ... which its resulting SDP problem has matrix dimension n=9261 and the number of equality...
  • PROC NLMIXED

  • Referenced in 70 articles [sw11039]
  • along with their approximate standard errors based on the second derivative matrix of the likelihood ... nonrandom parameters, and PROC NLMIXED computes their approximate standard errors by using the delta method...
  • GloptiPoly

  • Referenced in 327 articles [sw04343]
  • intended to solve, or at least approximate, the Generalized Problem of Moments (GPM), an infinite ... hierarchy of semidefinite programming (SDP), or linear matrix inequality (LMI) relaxations of the GPM, whose...
  • TENSOLVE

  • Referenced in 29 articles [sw00956]
  • reasonable to calculate the Jacobian matrix or to approximate it by finite differences at each...
  • SymNMF

  • Referenced in 15 articles [sw12668]
  • SymNMF: nonnegative low-rank approximation of a similarity matrix for graph clustering. Nonnegative matrix factorization ... provides a lower rank approximation of a matrix by a product of two nonnegative factors ... nonnegative similarity matrix as an input, and a symmetric nonnegative lower rank approximation is computed...
  • SuiteSparseQR

  • Referenced in 41 articles [sw07348]
  • pattern of ATA. Approximate rank-detection is performed within each frontal matrix using Heath...
  • COBRA

  • Referenced in 26 articles [sw02211]
  • fast second order matrix method. In COBRA, this approximate eigenvalue is further refined using ... Cobra: Parallel path following for computing the matrix pseudospectrum ?? Cobra: a package for co-breaking...
  • Algorithm 844

  • Referenced in 18 articles [sw04407]
  • obtain a reduced rank approximation to a sparse matrix A. Unfortunately, the approximations based...
  • PSAPSR

  • Referenced in 29 articles [sw28496]
  • package for approximating the pseudospectral abscissa and pseudospectral radius of a matrix...
  • CoSaMP

  • Referenced in 228 articles [sw08727]
  • algorithmic challenge in compressive sampling is to approximate a compressible signal from noisy samples. This ... practical problems because it requires only matrix-vector multiplies with the sampling matrix. For compressible...
  • SRRIT

  • Referenced in 29 articles [sw01229]
  • nonsymmetric matrix SRRIT is a Fortran program to calculate an approximate orthonormal basis ... orthonormal columns and real quasi-triangular matrix T of order m such that the equation ... user. The eigenvalues of T are approximations to the m eigenvalues of largest absolute magnitude...