• TSFC

  • Referenced in 25 articles [sw20272]
  • method for separating the contributions of a form to the subblocks of the local tensor...
  • tensorBSS

  • Referenced in 3 articles [sw22379]
  • package tensorBSS: Blind Source Separation Methods for Tensor-Valued Observations. Contains several utility functions ... manipulating tensor-valued data (centering, multiplication from a single mode etc.) and the implementations ... following blind source separation methods for tensor-valued data: ’tPCA’, ’tFOBI’, ’tJADE’, k-tJADE’, ’tgFOBI...
  • Cross

  • Referenced in 7 articles [sw30282]
  • attention in recent research. Current literature on tensor completion primarily focuses on recovery from ... methods are NP-hard. In this article, we propose a framework for low-rank tensor ... fourth or higher-order tensors. Simulation studies show that the method performs well under...
  • EasyDyn

  • Referenced in 4 articles [sw31067]
  • rotation tensor, homogeneous transformation matrix, inertia tensor) + assignment methods and operators; sim: routines for integration...
  • AutoHOOT

  • Referenced in 1 article [sw41996]
  • Automatic High-Order Optimization for Tensors. High-order optimization methods, including Newton’s method ... tensor decompositions and tensor networks. These tensor methods are used for data analysis and simulation ... framework targeting at high-order optimization for tensor computations. AutoHOOT takes input tensor computation expressions ... libraries with manually written kernels. The tensor methods generated by AutoHOOT are also well-parallelizable...
  • TensorLy

  • Referenced in 12 articles [sw27020]
  • easily perform tensor decomposition, tensor learning and tensor algebra. Its backend system allows to seamlessly ... MXNet, PyTorch, TensorFlow or CuPy, and run methods at scale...
  • GeoFEM

  • Referenced in 23 articles [sw00338]
  • subsystem offers many kinds of parallel visualization methods for the users to visualize their huge ... element analysis datasets for scalar, vector and/or tensor fields at a reasonable cost. A polygonal...
  • CTF

  • Referenced in 8 articles [sw25687]
  • electronic structure method to massively-parallel supercomputers. The framework preserves tensor structure by subdividing tensors...
  • TensorD

  • Referenced in 1 article [sw38112]
  • library built on TensorFlow. It provides tensor decomposition methods as well as basic tensor operations ... source. It facilitate the practice of tensor methods in computer vision, deep learning and other...
  • Tensors.jl

  • Referenced in 3 articles [sw28360]
  • where efficient tensor operations are required, e.g. in the Finite Element Method...
  • rTensor

  • Referenced in 3 articles [sw32423]
  • array’ class. rTensor provides common tensor operations as methods, including matrix unfolding, summing/averaging across modes ... taking the inner product between two tensors. Familiar array operations are overloaded, such as index...
  • COLLIER

  • Referenced in 7 articles [sw14693]
  • numerical evaluation of one-loop scalar and tensor integrals in perturbative relativistic quantum field theories ... dedicated methods to achieve numerical stability for 3- and 4-point tensor integrals, the support...
  • 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...
  • MCCEFF

  • Referenced in 5 articles [sw06179]
  • homogenized tensor and is applied in conjunction with the effective modules method. It originates from ... provide probabilistic analysis of the homogenized elasticity tensor for the periodic fiber-reinforced composites. Although...
  • RPYFMM

  • Referenced in 4 articles [sw40025]
  • Parallel adaptive fast multipole method for Rotne–Prager–Yamakawa tensor in biomolecular hydrodynamics simulations. RPYFMM ... hydrodynamics simulations. In our algorithm, the RPY tensor is decomposed as a linear combination ... evaluated using the adaptive fast multipole method (FMM) (Greengard and Rokhlin, 1997) where the exponential...
  • TPtool

  • Referenced in 6 articles [sw11769]
  • Model Transformation. The Tensor Product model transformation is a numerical method that is capable ... neural networks or fuzzy logic based methods, or as a result of a black ... HOSVD does for matrices and tensors. Secondly, the TP model transformation generates various convex polytopic...
  • ECHO

  • Referenced in 29 articles [sw22269]
  • magnetic field in shock-capturing methods. The limiting case of magnetodynamics (also known as force ... neglecting the matter contribution to the stress tensor. ECHO is particularly accurate, efficient, versatile...
  • TeNPy

  • Referenced in 4 articles [sw27023]
  • Tensor Network Python (TeNPy). Tensor product state (TPS) based methods are powerful tools to efficiently ... concepts with the introduction of a versatile tensor library for Python (TeNPy) [this https...
  • Tensor Network Theory

  • Referenced in 4 articles [sw30920]
  • Tensor Network Theory (TNT) provides efficient and accurate methods for simulating strongly correlated quantum systems ... this by encoding, as a network of tensors, the many-body wave function representing...
  • MultiwayRegression

  • Referenced in 3 articles [sw18394]
  • existing approaches, including methods to predict a scalar outcome from a tensor, a matrix from...