Scripts for 2D multimodal image registration
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Updated
Jan 20, 2017 - MATLAB
Scripts for 2D multimodal image registration
Project developed for the Numeric Simulation Laboratory A.A. 2023-2024, held by professor Davide Emilio Galli at the University of Milan, Physics Department.
This is an old version of the project. Find the new (and final) version under my github repositories
C++ implementation of the 1D and 2D (square lattice) Ising model
Python code to carry out Monte carlo simulation of 108 Ar atoms in an NVE ensemble.
Lennard Jones system optimization using the Metropolis Hastings and Simulated Annealing algorithms.
Esercizi da consegnare per il corso di Simulazione Numerica - prof. Davide Emilio Galli
3 states magnetic model
Project written in Python that simulates the Ising model for arbitrary size of lattice and shows the final spin arrangement and graph the Magnetization, Energy, Heat Capacity and Magnetic Susceptibility vs. Temperature.
Project developed for the Numeric Simulation Laboratory A.A. 2022-2023, held by professor Davide Emilio Galli at the University of Milan, Physics Department.
Monte Carlo simulations of 2D XY model on GPGPU with CUDA
Diffusion Quantum Monte Carlo With Gaussian Guiding Wave Functions
Creating an Interactive Implementation of the 2D Ising Model, solved using the Metropolis Algorithm in C++
Metropolis MCMC algorithm to estimate fault kinematic parameters in the elastic half-space dislocation model by Savage and Burford (1973)
Solve traveling salesman problem using simulated annealing
Buddhabrot renderer in C# with help of OpenCL and Metropolis-Hastings kernel.
Simulation of POTTS model for square lattice with three Monte Carlo methods
Monte is a set of Monte Carlo methods in Python. The package is written to be flexible, clear to understand and encompass variety of Monte Carlo methods.
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