There are 0 repository under dirichlet topic.
Python script for Linear, Non-Linear Convection, Burger’s & Poisson Equation in 1D & 2D, 1D Diffusion Equation using Standard Wall Function, 2D Heat Conduction Convection equation with Dirichlet & Neumann BC, full Navier-Stokes Equation coupled with Poisson equation for Cavity and Channel flow in 2D using Finite Difference Method & Finite Volume Method.
Finite difference solution of 2D Poisson equation. Can handle Dirichlet, Neumann and mixed boundary conditions.
Dirichlet-Variational Auto-Encoder by PyTorch
java numerical library for Matrix, Integrals (numerical integration), derivatives (numerical differentiation), equations, ODE, polynomials, etc
Protests and agitations have long used as means for showing dissident towards social, political and economic issues in civil societies. In recent years we have witnessed a large number of protests across various geographies. Not to be left behind by similar trends in the rest of the world, South Africa, in recent years have witnessed a large number of protests. This paper uses the English text description of the protests to predict their time spans/durations. The descriptions consist of multiple causes of the protests, courses of actions etc. Next we used unsupervised (topic modeling) and supervised learning (decision trees) to predict the duration of protests. The results are very promising and close to 90% of accuracy in early predicting of the duration of protests.
This project is based on an undergraduate research project at the Illinois Geometry Lab and directed by A.J. Hildebrand. Reviewed and published in Wolfram Demonstrations Project website.
Dirichlet eta function.
Create an iterator which evaluates the Dirichlet eta function for each iterated value.
Unsupervised Topic Modelling project using Latent Dirichlet Allocation (LDA) on the NeurIPS papers. Built as part of the final project for McGill AI Society's Accelerated Introduction to Machine Learning Course (MAIS 202).
Create an iterator which generates a periodic sinc waveform.
Typical subject topics are covered, in 167 notebooks. Streamlined Mathematica shortcuts take precedence over traditional precursor methods. A number of problems are dealt with in an inept, tentative, inefficient, or erroneous manner.
This repository holds JAGS code to first classify subjects into groups sharing similar behaviors in longitudinal measures. Then the second step is measuring differences in survival of an event between groups.
Using the 10 last days of S&P 500 mouvements (Up, Down & Flat) to predict a "naive" most likely move for the next day -- Bayesian Statistics project for ENSAE
Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)