saddle-point

A Python software package for saddle point optimization and minimization of atomic systems.

A CVXPY extension for saddle problems

Implementation of approximate free-energy minimization in PyTorch

A Matlab/Octave package for oscillatory integration

A consensus-based optimization methods for saddle point problems (CBO-SP)

QAOA energy landscape exploration.

This repository contains my project assignments for the graduate-level course: BITS F441 - Robotics, under Dr B K Raut. I passed the course with the highest possible grade.

Solvers for Stokes-type equations and saddle-point problems for scientific machine learning (SciML)

For learning, visualizing and understanding the optimization techniques and algorithms.

A path biased minimum mode following saddle point search algorithm

Julia package for oscillatory integration using complex contour deformations

Robust transition state search from noisy starting geometries. We achieve 100% saddle point convergence from 2Å-displaced molecules using Gentlest Ascent Dynamics with novel specialized manifold escape strategies. Supports HIP (ML) and SCINE (semi-empirical) backends.

a simple example to find saddle point by NEB

Integration methods for highly-oscillatory integrals based on Picard–Lefschetz theory

A C program that generates a random NxN matrix with unique integers and identifies 'Lucky Numbers' (Saddle Points), defined as the minimum element in its row and maximum in its column.

Playground to learn the basics of the Object Oriented Programing with the Python language.

Code for NeurIPS 2024 paper "Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?"

A practice implementation of Newton’s method for local convergence and optimization, covering both univariate and multivariate cases; extending the first and second derivatives in the 1D case to the Jacobian matrix (gradient vector) for finding roots and the Hessian matrix for finding extrema, respectively, in the multivariate case.