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Python serves as an open-source and cost-effective alternative to the MATLAB programming language. This paper introduces a concise topology optimization Python code, named ``\texttt{PyHexTop}," primarily intended for educational purposes.…

Computational Engineering, Finance, and Science · Computer Science 2025-09-10 Aditi Agarwal , Anupam Saxena , Prabhat Kumar

This study introduces amangkurat, an open-source Python library designed for the robust numerical simulation of relativistic scalar field dynamics governed by the nonlinear Klein-Gordon equation in $(1+1)$D spacetime. The software…

Pattern Formation and Solitons · Physics 2025-12-30 Sandy H. S. Herho , Siti N. Kaban

Calculations of the Fourier transform of a constant quantity over an area or volume defined by polygons (connected vertices) are often useful in modeling wave scattering, or in fourier-space filtering of real-space vector-based volumes and…

Numerical Analysis · Mathematics 2021-04-20 Brian B. Maranville

Tools for rewriting, refactoring and optimizing code should be fast and correct. Large language models (LLMs), by their nature, possess neither of these qualities. Yet, there remains tremendous opportunity in using LLMs to improve code. We…

Machine Learning · Computer Science 2024-10-14 Chris Cummins , Volker Seeker , Jordi Armengol-Estapé , Aram H. Markosyan , Gabriel Synnaeve , Hugh Leather

Python is one of the most commonly used programming languages in industry and education. Its English keywords and built-in functions/modules allow it to come close to pseudo-code in terms of its readability and ease of writing. However,…

Computation and Language · Computer Science 2025-04-17 Joshua Otten , Antonios Anastasopoulos , Kevin Moran

A given six dimensional vector represents a 3D straight line in Plucker coordinates if its coordinates satisfy the Klein quadric constraint. In many problems aiming to find the Plucker coordinates of lines, noise in the data and other…

Computer Vision and Pattern Recognition · Computer Science 2016-02-22 João R. Cardoso , Pedro Miraldo , Helder Araujo

We deal with a class of one-parameter family of integral transforms of Bargmann type arising as dual transforms of fractional Hankel transform. Their ranges are identified to be special subspaces of the weighted hyperholomorphic left…

Complex Variables · Mathematics 2020-05-19 Allal Ghanmi

Python implementation of permutations is presented. Three classes are introduced: Perm for permutations, Group for permutation groups, and PermError to report any errors for both classes. The class Perm is based on Python dictionaries and…

Mathematical Software · Computer Science 2014-06-17 Andrzej Kapanowski

In this note, we shall prove a formula for the Fourier transform of spherical Bessel functions over complex numbers, viewed as the complex analogue of the classical formulae of Hardy and Weber. The formula has strong representation…

Classical Analysis and ODEs · Mathematics 2017-10-27 Zhi Qi

Convex polyhedral abstractions of logic programs have been found very useful in deriving numeric relationships between program arguments in order to prove program properties and in other areas such as termination and complexity analysis. We…

Programming Languages · Computer Science 2007-12-18 Kim Henriksen , Gourinath Banda , John Gallagher

This is the manual of the first version of QEDtool, an object-oriented Python package that performs numerical quantum electrodynamics calculations, with focus on full state reconstruction in the internal degrees of freedom, correlations and…

High Energy Physics - Theory · Physics 2026-04-07 Jesse Smeets , Preslav Asenov , Alessio Serafini

modAL is a modular active learning framework for Python, aimed to make active learning research and practice simpler. Its distinguishing features are (i) clear and modular object oriented design (ii) full compatibility with scikit-learn…

Machine Learning · Computer Science 2018-12-13 Tivadar Danka , Peter Horvath

We give a short survey on computational techniques which can be used to solve the representation conversion problem for polyhedra up to symmetries. We in particular discuss decomposition methods, which reduce the problem to a number of…

Metric Geometry · Mathematics 2011-10-20 David Bremner , Mathieu Dutour Sikiric , Achill Schuermann

In this work, we study linear error-correcting codes against adversarial insertion-deletion (indel) errors. While most constructions for the indel model are nonlinear, linear codes offer compact representations, efficient encoding, and…

Information Theory · Computer Science 2025-10-01 Roee Gross , Roni Con , Eitan Yaakobi

Space-filling experimental design techniques are commonly used in many computer modeling and simulation studies to explore the effects of inputs on outputs. This research presents raxpy, a Python package that leverages expressive annotation…

Mathematical Software · Computer Science 2025-01-08 Neil Ranly , Torrey Wagner

We describe a new open-source Python-based package for high accuracy correlated electron calculations using quantum Monte Carlo (QMC) in real space: PyQMC. PyQMC implements modern versions of QMC algorithms in an accessible format, enabling…

We are interested in easy geometric transformations which regularize n-polygons in the non-euclidean plane. A transformation is called easy if it can be easily implemented into an algorithm. This article is motivated by preceding work on…

Metric Geometry · Mathematics 2013-12-10 Dimitris Vartziotis , Doris Bohnet

Everybody knows from school how to solve a quadratic equation of the form $x^2-px+q=0$ graphically. But this method can become tedious if several equations ought to be solved, as for each pair $(p,q)$ a new parabola has to be drawn.…

History and Overview · Mathematics 2020-12-15 Michael Schmitz , André Streicher

The computation of Feynman integrals often involves square roots. One way to obtain a solution in terms of multiple polylogarithms is to rationalize these square roots by a suitable variable change. We present a program that can be used to…

Mathematical Software · Computer Science 2020-06-24 Marco Besier , Pascal Wasser , Stefan Weinzierl

This research explores the application of quadratic polynomials in Python for advanced data analysis. The study demonstrates how quadratic models can effectively capture nonlinear relationships in complex datasets by leveraging Python…

Methodology · Statistics 2025-09-16 Rostyslav Sipakov , Olena Voloshkina , Anastasiia Kovalova