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In this paper we try to prepare a framework for field quantization. To this end, we aim to replace the field of scalars R by self-adjoint elements of a commutative C-algebra, and reach an appropriate generalization of geometrical concepts…

Mathematical Physics · Physics 2015-01-28 Hassan Feizabadi , Nasser Boroojerdian

Tensor processing is the cornerstone of modern technological advancements, powering critical applications in data analytics and artificial intelligence. While optical computing offers exceptional advantages in bandwidth, parallelism, and…

While each computer algebra system (CAS) contains its own unique syntax for inputting mathematical expressions, LaTeX is perhaps the most widespread language for typesetting mathematics. NRPyLaTeX (NL) enables direct LaTeX input of complex…

General Relativity and Quantum Cosmology · Physics 2022-05-16 Kenneth J. Sible , Zachariah B. Etienne

The R package multgee implements the local odds ratios generalized estimating equations (GEE) approach proposed by Touloumis et al. (2013), a GEE approach for correlated multinomial responses that circumvents theoretical and practical…

Computation · Statistics 2015-06-18 Anestis Touloumis

orthoDr is a package in R that solves dimension reduction problems using orthogonality constrained optimization approach. The package serves as a unified framework for many regression and survival analysis dimension reduction models that…

Computation · Statistics 2019-07-05 Ruoqing Zhu , Jiyang Zhang , Ruilin Zhao , Peng Xu , Wenzhuo Zhou , Xin Zhang

The article mainly presents some results in using MAPLE platform for computer algebra and GrTensorII package in doing calculations for theoretical and numerical cosmology

Symbolic Computation · Computer Science 2007-05-23 Dumitru N. Vulcanov , Valentina D. Vulcanov

During the last years, low-rank tensor approximation has been established as a new tool in scientific computing to address large-scale linear and multilinear algebra problems, which would be intractable by classical techniques. This survey…

Numerical Analysis · Mathematics 2013-03-01 Lars Grasedyck , Daniel Kressner , Christine Tobler

These lecture notes present a method for symbolic tensor calculus that (i) runs on fully specified smooth manifolds (described by an atlas), (ii) is not limited to a single coordinate chart or vector frame, (iii) runs even on…

General Relativity and Quantum Cosmology · Physics 2019-03-14 Eric Gourgoulhon , Marco Mancini

TensorKit.jl is a Julia-based software package for tensor computations, especially focusing on tensors with internal symmetries. This paper introduces the design philosophy, core functionalities, and distinctive features, including how to…

Mathematical Software · Computer Science 2025-08-15 Lukas Devos , Jutho Haegeman

This paper presents a generalizable RGB-based approach for object pose estimation, specifically designed to address challenges in sparse-view settings. While existing methods can estimate the poses of unseen objects, their generalization…

Computer Vision and Pattern Recognition · Computer Science 2025-10-01 Yuanhong Yu , Xingyi He , Chen Zhao , Junhao Yu , Jiaqi Yang , Ruizhen Hu , Yujun Shen , Xing Zhu , Xiaowei Zhou , Sida Peng

We describe our package PALP of C programs for calculations with lattice polytopes and applications to toric geometry, which is freely available on the internet. It contains routines for vertex and facet enumeration, computation of…

Numerical Analysis · Mathematics 2025-10-20 Maximilian Kreuzer , Harald Skarke

Spectral line observations are an indispensable tool to remotely probe the physical and chemical conditions throughout the universe. Modelling their behaviour is a computational challenge that requires dedicated software. In this paper, we…

Instrumentation and Methods for Astrophysics · Physics 2024-11-06 Thomas Ceulemans , Frederik De Ceuster , Leen Decin , Jeremy Yates

Optimization models are fundamental tools for providing quantitative insights to decision-makers. However, models, objectives, and constraints do not capture all real-world factors accurately. Thus, instead of the single optimal solution,…

Optimization and Control · Mathematics 2025-11-20 E. M. Turan , S. Moret , A. Bardow

High-quality ordinary differential equation (ODE) solver libraries have a long history, going back to the 1970s. Over the past several years we have implemented, on top of the PETSc linear and nonlinear solver package, a new…

Numerical Analysis · Mathematics 2018-06-06 Shrirang Abhyankar , Jed Brown , Emil M. Constantinescu , Debojyoti Ghosh , Barry F. Smith , Hong Zhang

Computing geodesics for Riemannian manifolds is a difficult task that often relies on numerical approximations. However, these approximations tend to be either numerically unstable, have slow convergence, or scale poorly with manifold…

Differential Geometry · Mathematics 2026-02-06 Frederik Möbius Rygaard , Søren Hauberg

The problem of tensor completion has applications in healthcare, computer vision, and other domains. However, past approaches to tensor completion have faced a tension in that they either have polynomial-time computation but require…

Machine Learning · Computer Science 2024-03-21 Wenhao Pan , Anil Aswani , Chen Chen

SPARKX is an open-source Python package developed to analyze simulation data from heavy-ion collision experiments. By offering a comprehensive suite of tools, SPARKX simplifies data analysis workflows, supports multiple formats such as…

Data Analysis, Statistics and Probability · Physics 2026-02-02 Nils Sass , Hendrik Roch , Niklas Götz , Renata Krupczak , Carl B. Rosenkvist

Nonlinear mixed effects modeling is a powerful tool when analyzing data from several entities in an experiment. In this paper, we present NLMEModeling, a package for mixed effects modeling in Wolfram Mathematica. NLMEModeling supports mixed…

Computation · Statistics 2020-11-16 Jacob Leander , Joachim Almquist , Anna Johnning , Julia Larsson , Mats Jirstrand

A non trivial application of a modern computer language ("C") in a highly structured and object-oriented fashion is presented. The contest is that of Lie algebra representations (irreps), specifically the problem of reducing the products of…

High Energy Physics - Theory · Physics 2008-02-03 Antonio Candiello

High-dimensional data arise naturally in many areas of science and engineering, including machine learning, signal processing, computational physics, and statistics. Such data are often represented as tensors, multi-dimensional…

Machine Learning · Computer Science 2026-05-19 Beheshteh T. Rakhshan , Guillaume Rabusseau
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