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COFFEE (ConFormal Field Equation Evolver) is a Python package primarily developed to numerically evolve systems of partial differential equations over time using the method of lines. It includes a variety of time integrators and finite…

Mathematical Software · Computer Science 2023-03-27 Georgios Doulis , Jörg Frauendiener , Chris Stevens , Ben Whale

Pyxel is a novel python tool for end-to-end detection chain simulation i.e. from detector optical effects to readout electronics effects. It is an easy-to-use framework to host and pipeline any detector effect model. It is suited for…

Instrumentation and Methods for Astrophysics · Physics 2020-12-10 Thibaut Prod'homme , Frédéric Lemmel , Matej Arko , Benoît Serra , Elizabeth M. George , Enrico Biancalani , Hans Smit , David Lucsanyi

BayesPy is an open-source Python software package for performing variational Bayesian inference. It is based on the variational message passing framework and supports conjugate exponential family models. By removing the tedious task of…

Machine Learning · Statistics 2015-06-08 Jaakko Luttinen

This paper presents a new Python software for the parametric design of stabilizing feedback laws with time delays, called Partial Pole Placement via Delay Action (P3$\delta$). After an introduction recalling recent theoretical results on…

Optimization and Control · Mathematics 2020-12-03 Islam Boussaada , Guilherme Mazanti , Silviu-Iulian Niculescu , Julien Huynh , Franck Sim , Matthieu Thomas

Python is a particularly appealing language to carry out data analysis, owing in part to its user-friendly character as well as its access to well maintained and powerful libraries like NumPy and SciPy. Still, for the purpose of analyzing…

High Energy Physics - Lattice · Physics 2024-02-01 Luis Altenkort , David Anthony Clarke , Jishnu Goswami , Hauke Sandmeyer

This paper describes the design and implementation of Stingray, a library in Python built to perform time series analysis and related tasks on astronomical light curves. Its core functionality comprises a range of Fourier analysis…

Instrumentation and Methods for Astrophysics · Physics 2019-08-12 D. Huppenkothen , M. Bachetti , A. L. Stevens , S. Migliari , P. Balm , O. Hammad , U. M. Khan , H. Mishra , H. Rashid , S. Sharma , R. V. Blanco , E. M. Ribeiro

This paper presents the software entitled "Partial Pole Placement via Delay Action", or "P3$\delta$" for short. P3$\delta$ is a Python software with a friendly user interface for the design of parametric stabilizing feedback laws with…

PaPy, which stands for parallel pipelines in Python, is a highly flexible framework that enables the construction of robust, scalable workflows for either generating or processing voluminous datasets. A workflow is created from user-written…

Programming Languages · Computer Science 2014-07-17 Marcin Cieslik , Cameron Mura

Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems. This package focuses on bringing machine learning to non-specialists using a…

Pseudospectral approximation provides a means to approximate the dynamics of delay differential equations (DDE) by ordinary differential equations (ODE). This article develops a computer-aided algorithm to determine the distance between the…

Dynamical Systems · Mathematics 2024-05-14 Shane Kepley , Babette A. J. de Wolff

M-estimation is a general statistical framework that simplifies estimation. Here, we introduce delicatessen, a Python library that automates the tedious calculations of M-estimation, and supports both built-in user-specified estimating…

Methodology · Statistics 2022-10-12 Paul N Zivich , Mark Klose , Stephen R Cole , Jessie K Edwards , Bonnie E Shook-Sa

PyOD is an open-source Python toolbox for performing scalable outlier detection on multivariate data. Uniquely, it provides access to a wide range of outlier detection algorithms, including established outlier ensembles and more recent…

Machine Learning · Computer Science 2019-06-12 Yue Zhao , Zain Nasrullah , Zheng Li

Systems with time delay play an important role in modeling of many physical and biological processes. In this paper we describe generic properties of systems with time delay, which are related to the appearance and stability of periodic…

Chaotic Dynamics · Physics 2015-05-13 S. Yanchuk , P. Perlikowski

This paper presents Tyche, a Python library to facilitate probabilistic reasoning in uncertain worlds through the construction, querying, and learning of belief models. Tyche uses aleatoric description logic (ADL), which provides…

Artificial Intelligence · Computer Science 2022-08-23 Padraig X. Lamont

PymePix is a new Python 3 library that provides control and acquisition for the Timepix3-SPIDR hardware. The rich set of data-structures and intuitive routines reduces time and coding effort to quickly configure, acquire, and visualize data…

We describe a situation where an unstable equilibrium in a $3 \times 3$ system of linear differential equations may be stabilized by introducing a delayed response, i.e. converting to a system of delayed differential equations. This…

Dynamical Systems · Mathematics 2022-09-02 Alena Chan

PYROBOCOP is a Python-based package for control, optimization and estimation of robotic systems described by nonlinear Differential Algebraic Equations (DAEs). In particular, the package can handle systems with contacts that are described…

Robotics · Computer Science 2022-03-21 Arvind Raghunathan , Devesh K. Jha , Diego Romeres

In this paper, we study the existence and non-existence of entire solutions of certain non-linear delay-differential equations.

Complex Variables · Mathematics 2024-07-30 Nidhi Gahlian

TextDescriptives is a Python package for calculating a large variety of metrics from text. It is built on top of spaCy and can be easily integrated into existing workflows. The package has already been used for analysing the linguistic…

Computation and Language · Computer Science 2023-10-30 Lasse Hansen , Ludvig Renbo Olsen , Kenneth Enevoldsen

We develop a delay-adaptive controller for a class of first-order hyperbolic partial integro-differential equations (PIDEs) with an unknown input delay. By employing a transport PDE to represent delayed actuator states, the system is…

Analysis of PDEs · Mathematics 2023-07-11 Shanshan Wang , Jie Qi , Miroslav Krstic
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