• Affine

  • Referenced in 5 articles [sw08572]
  • Verma modules, branching of representations and tensor product decomposition are the most important problems...
  • TedNet

  • Referenced in 1 article [sw38105]
  • TedNet: A Pytorch Toolkit for Tensor Decomposition Networks. Tensor Decomposition Networks(TDNs) prevail for their ... TDNs. TedNet implements 5 kinds of tensor decomposition(i.e., CANDECOMP/PARAFAC(CP), Block-Term Tucker...
  • tntorch

  • Referenced in 2 articles [sw35476]
  • indexing of tensors, broadcasting, assignment, etc.; Tensor decomposition and reconstruction; Element-wise and tensor-tensor...
  • AutoHOOT

  • Referenced in 1 article [sw41996]
  • methods, dominate the optimization algorithms for tensor decompositions and tensor networks. These tensor methods ... performance for both tensor decomposition and tensor network applications compared to existing AD software...
  • TensorD

  • Referenced in 1 article [sw38112]
  • TensorD: A tensor decomposition library in TensorFlow. The TensorD toolbox is a Python tensor library ... built on TensorFlow. It provides tensor decomposition methods as well as basic tensor operations...
  • CTF

  • Referenced in 8 articles [sw25687]
  • tensor structure by subdividing tensors cyclically, producing a regular parallel decomposition. An internal virtualization layer ... decides on the best mapping for each tensor contraction at run-time via explicit calculations...
  • ParTI

  • Referenced in 1 article [sw30091]
  • fast essential sparse tensor operations and tensor decompositions on multicore CPU and GPU architectures. These ... tensor analysis algorithms (such as tensor decomposition). ParTI! is formerly known as SpTOL...
  • TensorToolbox

  • Referenced in 1 article [sw17589]
  • Spectral tensor-train decomposition. The accurate approximation of high-dimensional functions is an essential task ... spectral extension of the tensor-train (TT) decomposition. We first define a functional version ... with appropriate regularity, the resulting spectral tensor-train decomposition combines the favorable dimension-scaling ... DMRG-cross to obtain the TT decomposition of tensors resulting from suitable discretizations...
  • CleGo

  • Referenced in 3 articles [sw06831]
  • just calculate dimensions of the tensor product decomposition) produces Clebsch--Gordan coefficients that ... grand unified theories. For that purpose, multiple tensor products have been implemented as well...
  • Affine.m

  • Referenced in 3 articles [sw10836]
  • Verma modules, branching of representations and tensor product decomposition are the most important problems...
  • ADTT

  • Referenced in 1 article [sw41208]
  • ADTT: A Highly Efficient Distributed Tensor-Train Decomposition Method for IIoT Big Data. The industrial ... suitable data processing technique such as tensor-train that can handle these ... IIoT data is needed. However, existing tensor-train decomposition methods are inefficient and cannot meet ... improved and highly efficient) distributed tensor-train (ADTT) decomposition method with its incremental computational method...
  • qTorch

  • Referenced in 5 articles [sw27767]
  • ordering of tensor index contractions: one is based on the tree decomposition of the line ... results in this work suggest that tensor contraction methods are superior only when simulating ... tree decomposition is prohibitively expensive. Finally, we release our software package, qTorch (Quantum TensOR Contraction...
  • CORALS

  • Referenced in 1 article [sw34405]
  • natural parameter space via sparse CANDECOMP/PARAFAC tensor decomposition. A regularized alternating (iteratively reweighted) least squares...
  • BTTSoftImpute

  • Referenced in 1 article [sw34805]
  • Block tensor train decomposition for missing data estimation. We propose a method for imputation ... matrix data based on a low-rank tensor ... approximation technique called the block tensor train (BTT) decomposition. Given sparsely observed data points ... performed based on a low-rank BTT decomposition, by which storage and time complexities...
  • FormTracer

  • Referenced in 8 articles [sw28328]
  • decomposition algorithm that avoids redundant traces in the product tensors spaces. FormTracer supports a wide...
  • crystal

  • Referenced in 2 articles [sw00167]
  • Maple package for the decomposition of certain tensor products and restrictions of representations using crystal...
  • SDPNAL+

  • Referenced in 59 articles [sw13239]
  • Monteiro et al. [“A first-order block-decomposition method for solving two-easy-block structured ... large scale SDPs arising from rank-1 tensor approximation problems constructed...
  • tensr

  • Referenced in 1 article [sw28277]
  • package tensr: Covariance Inference and Decompositions for Tensor Datasets. A collection of functions for Kronecker...
  • CAS

  • Referenced in 22 articles [sw07634]
  • Galois conjugate; using an outer automorphism; powering, tensoring, inducing, extending; extracting irreducible components (using several ... character; p-blocks; power maps; decomposition matrix; Molien series; detecting subgroups. The paper discusses...
  • biodiversity entropy

  • Referenced in 1 article [sw41102]
  • called High Order Singular Value Decomposition (HOSVD) of tensors. Starting from NASA multi-spectral images...