A Python tool for automated identification and topological analysis (QTAIM) of Critical Points at the interface between molecular fragments.
An intuitive visualization of vector fields.
An R package for obtaining nonparametric estimates of regression models with or without factor-by-curve interactions using local polynomial kernel smoothers or splines
📐 The computational project aims to analyze polynomials of degree less than or equal to 3 in the form 𝑝(𝑥) = 𝑎₀ + 𝑎₁𝑥 + 𝑎₂𝑥² + 𝑎₃𝑥³ and extract their real roots, as well as their critical points. To achieve this, a total of 11 main methods were developed, based on Bolzano's theorem
Open Source Vector Field Topology. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021000960
Reproducible implementation of pure-compound and mixture critical point, and composition-dependent binary critical loci calculations with PC-SAFT EOS using Newton–Raphson (NR) and Global Optimization (GO) methods.
Ising model simulation to compare various intrinsic utility measures.
class and algorithms for persistent homology of reeb graphs
Python scripts using the Visualization Toolkit (VTK) and Topology ToolKit (TTK) libraries. Tasks: visualize and explore topological features of a 3D volume and 2D scalar field datasets. 1. Probability density for the 3d electron position in a hydrogen atom and 2. 2D scalar field.
This repository presents a minimal early‑warning method for failure detection. Before structural failure, the number of critical points in the signal increases. By extracting raw, smoothed, and critical‑point sequences, and tracking the critical‑point time series, structural changes can be quantified as an early signal.
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