Genetic Programming was used to build nonlinear models of data gathered from a smartwatch. Results were actually amazing and will be published.

structured additive regression models talk

EEG prediction using Chaos Theory, Dynamical Systems Theory, and neural networks

🧠 Growth dynamics of untreated meningiomas

non-linear satisfaction problem generator

This C++ library provides numerical algorithms for solving the problem of optimizing a nonlinear function wihtout any constraints..

Most common Data-Structures and Algorithms implemented in Java from scratch ☕ ♨️

Лабораторная работа по радиоэлектронике "Нелинейные преобразования сигналов"

Code associated with the publication https://peercommunityjournal.org/articles/10.24072/pcjournal.69/

non-linear raytraycing based on "Raytracing in One Weekend"

A wrapper for the nonlinear optimization library Nlopt

Simulates the elevation and slope of the ocean surface with a particular power spectrum, and applies the specular condition to the slope to calculate the surface sunglint. Correlations are added between various elevation phase components.

nonlinear control system, non-linear system

Python version of Patankar book Conduct | Heat Transfer | Finite Volume Method

WARNING: This is just the results and scripts for analysis (GP system is a variation of jGPv9). A project using genetic programming to perform symbolic regression on fMRI data. There is a need for this because typical approaches use only linear regression. This is bad because the breain is a nonlinear system, and a linear model of a nonlinear sy…

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

gnm package for generalized nonlinear models in R

Optimal control with GAMS

Proyecto de tesis del magíster en matemáticas aplicadas UCT

A simple Python-3 implementation of the derivative-free Torczon algorithm for nonlinear constrained optimization