
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 TensorValued Observations. Contains several utility functions ... manipulating tensorvalued data (centering, multiplication from a single mode etc.) and the implementations ... following blind source separation methods for tensorvalued data: ’tPCA’, ’tFOBI’, ’tJADE’, ktJADE’, ’tgFOBI...

Cross
 Referenced in 7 articles
[sw30282]
 attention in recent research. Current literature on tensor completion primarily focuses on recovery from ... methods are NPhard. In this article, we propose a framework for lowrank tensor ... fourth or higherorder 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 HighOrder Optimization for Tensors. Highorder optimization methods, including Newton’s method ... tensor decompositions and tensor networks. These tensor methods are used for data analysis and simulation ... framework targeting at highorder optimization for tensor computations. AutoHOOT takes input tensor computation expressions ... libraries with manually written kernels. The tensor methods generated by AutoHOOT are also wellparallelizable...

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 massivelyparallel 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 oneloop scalar and tensor integrals in perturbative relativistic quantum field theories ... dedicated methods to achieve numerical stability for 3 and 4point tensor integrals, the support...

ADTT
 Referenced in 1 article
[sw41208]
 ADTT: A Highly Efficient Distributed TensorTrain Decomposition Method for IIoT Big Data. The industrial ... suitable data processing technique such as tensortrain that can handle these IIoT ... data is needed. However, existing tensortrain decomposition methods are inefficient and cannot meet ... improved and highly efficient) distributed tensortrain (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 fiberreinforced 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 shockcapturing 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 manybody wave function representing...

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