• LOBPCG

  • Referenced in 33 articles [sw09638]
  • this paper, we use the hierarchical Tucker decomposition to develop a low-rank variant ... adapted to the hierarchical Tucker decomposition. Finally, a combination of ALS and MALS with LOBPCG...
  • TensorToolbox

  • Referenced in 185 articles [sw04185]
  • mathematical operations, including those typical to tensor decomposition algorithms. Second, we study factored tensors, which ... components. We consider two specific types: A Tucker tensor can be expressed as the product...
  • TuckerMPI

  • Referenced in 3 articles [sw27856]
  • Large-scale Data Compression via the Tucker Tensor Decomposition. Our goal is compression of massive ... multidimensional array, and computing its truncated Tucker decomposition, a higher-order analogue to the truncated ... singular value decomposition of a matrix. The result is a low-rank approximation ... TuckerMPI, our implementation of the truncated Tucker decomposition, including details of the data distribution...
  • N-way Toolbox

  • Referenced in 30 articles [sw12996]
  • Tucker models; Fitting the generalized rank annihilation method; Fitting the direct trilinear decomposition; Fitting models ... Perform rotations of core and models in Tucker models; Plus additional utility functions. In addition...
  • TensorBox

  • Referenced in 2 articles [sw35869]
  • rank-1 tensors such as CANDECOMP/PARAFAC; Tucker decomposition; Generalized Kronecker tensor decomposition; Tensor deconvolution; Tensor...
  • ATC

  • Referenced in 1 article [sw39352]
  • present ATC, a C++ library for advanced Tucker-based compression of multidimensional numerical data, based ... sequentially truncated higher-order singular value decomposition (ST-HOSVD) and bit plane truncation. Several techniques ... hybrid truncation scheme is described which combines Tucker rank truncation and TTHRESH quantization [Ballester-Ripoll ... approximate the error of truncated Tucker decompositions in the case of core and factor perturbations...
  • rTensor

  • Referenced in 3 articles [sw32423]
  • implements various tensor decomposition, including CP, GLRAM, MPCA, PVD, and Tucker. For tensors with...
  • TedNet

  • Referenced in 1 article [sw38105]
  • kinds of tensor decomposition(i.e., CANDECOMP/PARAFAC(CP), Block-Term Tucker(BT), Tucker-2, Tensor Train...
  • tntorch

  • Referenced in 2 articles [sw35476]
  • tensor train (TT) model, CANDECOMP/PARAFAC (CP), the Tucker model, and more. Supported operations ... indexing of tensors, broadcasting, assignment, etc.; Tensor decomposition and reconstruction; Element-wise and tensor-tensor...
  • ADOL-C

  • Referenced in 257 articles [sw00019]
  • ADOL-C: Automatic Differentiation of C/C++. We present...
  • AMD

  • Referenced in 61 articles [sw00039]
  • Algorithm 837: AMD is a set of routines...
  • gmp

  • Referenced in 289 articles [sw00363]
  • GMP is a free library for arbitrary precision...
  • HSL

  • Referenced in 284 articles [sw00418]
  • HSL (formerly the Harwell Subroutine Library) is a...
  • KNITRO

  • Referenced in 200 articles [sw00490]
  • KNITRO is a solver for nonlinear optimization. It...
  • LANCELOT

  • Referenced in 310 articles [sw00500]
  • LANCELOT. A Fortran package for large-scale nonlinear...
  • LAPACK

  • Referenced in 1713 articles [sw00503]
  • LAPACK is written in Fortran 90 and provides...
  • LSQR

  • Referenced in 410 articles [sw00530]
  • Algorithm 583: LSQR: Sparse Linear Equations and Least...
  • MA57

  • Referenced in 94 articles [sw00536]
  • MA57 - a code for the solution of sparse...
  • Maple

  • Referenced in 5403 articles [sw00545]
  • The result of over 30 years of cutting...
  • Mathematica

  • Referenced in 6445 articles [sw00554]
  • Almost any workflow involves computing results, and that...