Numerical methods made with Python
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Updated
Jun 8, 2024 - Python
Numerical methods made with Python
Course Material for Artificial Intelligence and Machine Learning - Unit 2 @ Computer Science Dept, Sapienza
oj! Algorithms
R package for computing optimal regression designs under second-order least-squares estimator
Java·Applied·Geodesy·3D - Least-Squares Adjustment Software for Geodetic Sciences
XCSF learning classifier system: rule-based online evolutionary machine learning
General-purpose library for fitting models to data with correlated Gaussian-distributed noise
Apache Commons Math
This is a repository associated with the chapter book "Towards optimal sampling for learning sparse approximations in high dimensions" by Ben Adcock, Juan M. Cardenas, Nick Dexter and Sebastian Moraga to be published by Springer in late 2021, available at https://arxiv.org/abs/2202.02360
Computational Methods in Chemical Engineering (UMass Lowell, Spring 2024); Prof. Valmor F. de Almeida.
Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize, and with many additional classes and methods for curve fitting.
Least squares adjustment software
Indoor Positioning System Using Bluetooth RSSI and Trilateration. ESP32's as receivers.
A generalized inverse kinematics solver that supports closed chains for parallel kinematics systems, dynamic reconfiguration, and arbitrary joint configuration based on damped least squares error minimization techniques
A simple least squares model that predicts whether a given word is Spanish or French based on a selection of simple features.
Fitting data using a polynomial obtained by the Least Squares Method
A Blender plug-in for interactive skeletal skinning optimisation, Bachelor's thesis, AY 2019/2020
Solve symbolically defined systems of non-linear equations numerically.
Refinement and analysis of structures against single crystal diffraction data
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