Implementation of the paper "Injective and Bounded Distortion Mappings in 3D", presented in SIGGRAPH 2013
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Updated
Dec 20, 2014 - MATLAB
Implementation of the paper "Injective and Bounded Distortion Mappings in 3D", presented in SIGGRAPH 2013
Large-scale global optimization through consensus of opinions over complex networks
Course Project for Optimization Techniques
Basic tests for braids of partitions
Some of the optimisation functions I've implemented: for learning purpose
Mining NYC Taxi Data and Maximize the number of Carpooled Trips
Optimization using Stochastic quasi-Newton methods
Sweet fork of the official CMA-ES optimization algorithm, with some syntactic sugars.
A Matlab toolbox for optimization on manifolds (by Boumal and Mishra)
A fast and efficient Matlab code implementing the Differential Evolution algorithm.
Matlab implementation of the Adam stochastic gradient descent optimisation algorithm
A Multiobjective Optimization Test Function used in the conference paper: Lee Y.H., Corman, R.E., Ewoldt, R.H., and Allison, J.T., "A Multiobjective Adaptive Surrogate Modeling Optimization (MO-ASMO) Framework Using Efficient Sampling Strategies," ASME IDETC/CIE, 2017.
Numerical Optimization using "hill climbing" (aka Gradient Ascent)
Distinguish Brodatz patterns with stochastically optimized Gabor filter bank
Path-planning optimization of Mobile Robot.
DMOC method for a simple pendulum swing-up control
Implementation of 1st and 2nd order optimization (gradient descent and Newton's method)
Practical activity #4, Artificial Intelligence, in Computer Engineering graduation.
Experiments to speed up ADMM optimization algorithm for linear & semidefinite programming
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