Solve an obstacle problem (i.e, a partial differential equation with constraints)
-
Updated
Apr 25, 2015 - Python
Solve an obstacle problem (i.e, a partial differential equation with constraints)
SolarCloud: Forecasting Photovoltaic Production
LQR-RRT* method is used for random motion planning of a simple pendulum in it's phase plot
Use Chaotic time intervals as input to Hodgkin-Huxley neuron model in order to simulate real-world random stimuli.
Comments on "Estimating Non-Linear DSGEs with the Approximate Bayesian Computation: an application to the Zero Lower Bound" by Valerio Scalone (June 2017)
Genetic Programming was used to build nonlinear models of data gathered from a smartwatch. Results were actually amazing and will be published.
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…
R package for analysis of nonlinear data streams
Generating Nonlinear models of data from 6 sensors placed on a human in a very controlled environment.
works about solving nonlinear dynamic systems
FEM solver applying mesh from third-party mesh generating software
R package to implement nonlinear, interaction models with variable selection
simulation of femtosecond laser pulse compression using Gated-Multiphoton Intrapulse Interference Phase Scan (G-MIIPS)
RobOptim Core Layer: interface and basic mathematical tools
Files for my Nonlinear Systems and Controls class.
non-linear satisfaction problem generator
structured additive regression models talk
Add a description, image, and links to the nonlinear topic page so that developers can more easily learn about it.
To associate your repository with the nonlinear topic, visit your repo's landing page and select "manage topics."