dahlem/sa_sphere
Use simulated annealing to put a configurable number of points evenly spaced on a sphere.
Discovered public repositories for dahlem in the GitHub catalog.
Use simulated annealing to put a configurable number of points evenly spaced on a sphere.
A HPC framework for genetic algorithms implemented in C using MPI.
Implementation of a high-performance queuing simulator for adaptive task assignment problems using reinforcement learning control strategies (based on my PhD work).
This project implements Lempel-Ziv parsing and encoding of input sequences. This can be used to compress a sequence using a dictionary that is created online.
This project implements canopy clustering for string sequences with a compression-based distance function.
This package implements canonical analysis of response surfaces. Canonical analysis is a mathematical framework to achieve greater insights into the sensitivities of each design variable in the vicinity of stationary points.
This project implements a Bayesian Gaussian Process regression model which is fit using an adaptive Metropolis within Gibbs algorithm.
This project is an implementation of spectral clustering using the unnormalised (and sparse) graph Laplacian (in upper triangular form) solving the generalised eigenvalue problem using arpack++.
This project implements the numerical solution using a parallel conjugate gradient algorithm to the heat equation, which is a parabolic partial differential equation that describes the distribution of heat in a given region over time. This project was implemented as part of some course work for the High-Performance Computing M.Sc. at Trinity College Dublin.
Project that implements a number of solvers using GSL and BLAS, including Cholesky decomposition with Cholesky-Crout reduction, conjugate gradient, Gaussian elimination, Jacobi iteration, LU decomposition with Crout reduction, Jacobi-preconditioned conjugate gradient, QR decomposition, Seidel iteration, steepest descent, and forward/backward substitution. This project was done as part of some course work of the High-Performance Computing M.Sc. at Trinity College Dublin.
This project provides an R package to price asian options. Asian Options rely on the average of the underlying asset over a predetermined averaging period leading up to the maturity time T. Those options are used when price stability of the underlying asset is particularly important.