Visualization of the chaotic behavior of the logistic map, and other iterated maps, in Python, with GUI in Qt5
Playing around with chaos theory simulations. Creating equilibrium graphs and visualizing the logistic maps.
Repository for my Nonlinear Dynamics files
This is a simple image encryption algorithm based on bitxor system - Python tkinter.
Des programmes codés en Python pour modéliser l'application logistique, son diagramme de bifurcation et les différentes fractales qui lui sont associées (l'ensemble de Mandelbrot et les ensembles de Julia).
A Python package to simulate and measure chaotic dynamical systems.
Exploring Chaos Theory and Nonlinear Equations via Graphical Interfaces
Compute the period-2 accumulation point of the logistic map by finding the bifurcation points lambda_n for increasing n. Then use sequence acceleration techniques to extend the number of digits found.
Bifurcation Diagrams for Discrete-Time Maps in Python - https://doi.org/10.5281/zenodo.13276873
Computation of the logistic map's period-2 accumulation point. I calculate the sequence of superstable points R_n using non-derivative root-finding methods. I increase the number of digits in the accumulation point computation using sequence acceleration techniques.
simple codes of population dynamics
Generate & plot the Logistic Map with Python
Hodgkin-Huxley, Logistic Map, Game of Life, Brian's Brain, Neuronal Cellular Automata, Morris-Lecar, Wilson-Cowan, EEG, fMRI
A benchmark among different languages and platform to compare the generation of a Logistic Map
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