Jonathan Weare
Associate Professor of Mathematics
Courant Institute of Mathematical Sciences
New York University
251 Mercer Street
New York, NY 10012-1185
weare [AT] cims [DOT] nyu [DOT] edu



Publications      Software      People      Editorial      CV     Home




Eigenvector Method for Umbrella Sampling (EMUS)
https://github.com/ehthiede/EMUS
E. Thiede
(I am not an author)
Python implementation of a stratification approach to MCMC

Ensemble QuasiNewton MCMC (EQN)
https://bitbucket.org/c_matthews/ensembleqn
C. Matthews (I am not an author)
Python implementation of an emsemble preconditioning approach to MCMC


Fast Randomized Iteration (FRI)
https://github.com/jonathanweare/Fast-Randomized-Iteration-FRI-
with J. Dama
Demonstration C++ implementation of randomized power iteration.


Enhanced Sampling Toolkit
https://github.com/jtempkin/enhanced_sampling_toolkit
J. Tempkin (I am not an author)
The Enhanced Sampling Toolkit provides a flexible and extensible toolkit for rapidly prototyping rare event simulation algorithms. The code is written entirely in Python and acts as a wrapper to various well-established molecular dynamics codes.

Ticketed Diffusion Monte Carlo (TDMC)
http://dx.doi.org/10.5281/zenodo.17001
J. Dama (I am not an author)
Demonstration C++ implementation of an improved diffusion Monte Carlo method.

emcee: The MCMC Hammer
http://dan.iel.fm/emcee/current/
D. Foreman-Mackey, D. Hogg, D. Lang, and J. Goodman (I am not an author)
Python implementation of an affine invariant ensemble MCMC scheme.