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This repository contains some of my personal projects regarding optimization problems. Some algorithms I have built from scratch are gradient descent, the Metropolis-Hastings jumping rule for Markov chain Monte Carlo, and a Gaussian Process Emulator using a squared exponential distance kernel.

2D Gradient Descent

Emulated Posterior of Rosenbrock Function

Metropolis Hastings MCMC

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