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The evaluation of partition functions is a central problem in statistical physics. For lattice systems and other discrete models the partition function may be expressed as the contraction of a tensor network. Unfortunately computing such…

Computational Physics · Physics 2020-01-15 Adam S. Jermyn

Monte Carlo Tree Search (MCTS) algorithms such as AlphaGo and MuZero have achieved superhuman performance in many challenging tasks. However, the computational complexity of MCTS-based algorithms is influenced by the size of the search…

Artificial Intelligence · Computer Science 2023-10-11 Yangqing Fu , Ming Sun , Buqing Nie , Yue Gao

GRTensorJ - Books is an active interface to a small part of the computer algebra systems GRTensorII (for Maple) and GRTensorM (for Mathematica) with the specific intent of providing students of General Relativity with an advanced…

Physics Education · Physics 2007-05-23 Kayll Lake

In this work we present recent results on application of low-rank tensor decompositions to modelling of aggregation kinetics taking into account multi-particle collisions (for three and more particles). Such kinetics can be described by…

Numerical Analysis · Mathematics 2020-08-18 Daniil A. Stefonishin , Sergey A. Matveev , Dmitry A. Zheltkov

A complete contraction on a C*-algebra A, which preserves all closed two sided ideals J, can be approximated pointwise by elementary complete contractions if and only if the induced map on the tensor product of B with A/J is contractive for…

Operator Algebras · Mathematics 2009-02-03 Bojan Magajna

Tensor network methods are taking a central role in modern quantum physics and beyond. They can provide an efficient approximation to certain classes of quantum states, and the associated graphical language makes it easy to describe and…

Quantum Physics · Physics 2017-08-02 Jacob Biamonte , Ville Bergholm

This article presents some aspects and experience in the use of algebraic manipulation software applied to general relativity. Some years ago certain results were reported using computer algebra platforms, but the growing popularity of…

Computational Physics · Physics 2022-06-01 Víctor Medina

ASTRA is a Python package that provides a modular, instrument-independent interface for working with high-resolution stellar spectra. Designed to support data from multiple spectrographs, including ESPRESSO (Pepe et al., 2021), HARPS (Mayor…

Instrumentation and Methods for Astrophysics · Physics 2026-01-16 André M. Silva , J. P. Faria , N. C. Santos , S. G. Sousa , P. T. P. Viana , J. H. C. Martins

We present some methods and results in the application of algebraic geometry and computer algebra to the study of algebraic vector bundles, foliations and zeta functions. A connection of the methods and results with noncommutative geometry…

Algebraic Geometry · Mathematics 2007-05-23 Nikolaj M. Glazunov

One way to study an hypergraph is to attach to it a tensor. Tensors are a generalization of matrices, and they are an efficient way to encode information in a compact form. In this paper we study how properties of weighted hypergraphs are…

Combinatorics · Mathematics 2022-02-02 Francesco Galuppi , Raffaella Mulas , Lorenzo Venturello

A Galilean contraction is a way to construct Galilean conformal algebras from a pair of infinite-dimensional conformal algebras, or equivalently, a method for contracting tensor products of vertex algebras. Here, we present a generalisation…

High Energy Physics - Theory · Physics 2019-07-24 Jorgen Rasmussen , Christopher Raymond

A systematic method is presented for the construction and classification of algebras of gauge transformations for arbitrary high rank tensor gauge fields. For every tensor gauge field of a given rank, the gauge transformation will be…

High Energy Physics - Theory · Physics 2020-12-29 Spyros Konitopoulos

We develop some tools for manipulating and constructing projections in C*-algebras. These are then applied to give short proofs of some standard projection homotopy results, as well as strengthen some fundamental classical results for…

Operator Algebras · Mathematics 2017-02-10 Tristan Bice

The contraction method is a procedure that allows to establish non-trivial relations between Lie algebras and has had succesful applications in both mathematics and theoretical physics. This work deals with generalizations of the…

Mathematical Software · Computer Science 2025-10-03 C. Inostroza , I. Kondrashuk , N. Merino , F. Nadal

This article introduces the Mathematica package \emph{HEPMath} which provides a number of utilities and algorithms for High Energy Physics computations in Mathematica. Its functionality is similar to packages like FormCalc or FeynCalc, but…

High Energy Physics - Phenomenology · Physics 2015-07-08 Martin Wiebusch

We present a package to perform partial fraction decompositions of multivariate rational functions. The algorithm allows to systematically avoid spurious denominator factors and is capable of producing unique results also when being applied…

Symbolic Computation · Computer Science 2022-01-05 Matthias Heller , Andreas von Manteuffel

The discrete cosine transform (DCT) is a widely-used and important signal processing tool employed in a plethora of applications. Typical fast algorithms for nearly-exact computation of DCT require floating point arithmetic, are multiplier…

Hardware Architecture · Computer Science 2017-11-01 N. Rajapaksha , A. Madanayake , R. J. Cintra , J. Adikari , V. S. Dimitrov

A tutorial of the Mathematica package CGAlgebra, for conformal geometric algebra calculations is presented. Using rule-based programming, the 5-dimensional conformal geometric algebra is implemented and defined functions simplify the…

Mathematical Software · Computer Science 2022-07-01 E. Alejandra Ortiz-Duran , Jose L. Aragon

We provide an explicit algorithm to calculate invariant tensors for the adjoint representation of the simple Lie algebra $sl(n)$, as well as arbitrary representation in terms of roots. We also obtain explicit formulae for the adjoint…

Geometric Topology · Mathematics 2007-05-23 R. Campoamor-Stursberg , V. O. Manturov

Equivariant atomistic machine learning models have largely been built on spherical-tensor representations, where explicit angular-momentum coupling introduces substantial complexity and systematic extensions beyond energies and forces…

Machine Learning · Statistics 2026-03-09 Zemin Xu , Wenbo Xie , P. Hu
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