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CASE STUDYNUMERICAL COMPUTATION

Numerical Methods Solver

From method to behavior.

Project · Collaborative · computation and dynamic models
PythonStreamlitNumPyPandasSciPySymPyPlotly

Overview

Examine numerical approximations through tables, errors and charts.

Streamlit tool for roots, interpolation, differentiation, integration, Monte Carlo and differential equations. The same repository includes a 1D/2D/3D dynamic systems simulator with equilibria, phase portraits and bifurcations.

Problem

Explore parameters and compare approximations through iterations and visualizations alongside the evolution of dynamic systems.

My role

I contributed fixes, adjustments and additions to the collaborative numerical computation and analysis application.

Outcomes

The application presents iteration tables, errors, convergence and plots of functions, areas and ODE solutions. The dynamic simulator configures equations and initial conditions, explores equilibria and visualizes evolution and phase spaces. Three screenshots document bisection, midpoint integration and second-order Runge-Kutta (Heun).

Gallery and resources