Hrothgar is a parallel minimizer and Markov Chain Monte Carlo generator by Andisheh Mahdavi of San Francisco State University. It has been used to solve optimization problems in astrophysics (galaxy cluster mass profiles) as well as in experimental particle physics (hadronic tau decays). It is probably adaptable enough to be applied to your merit function if you can write it in C.
Features
- Link with any C or compatible language merit function
- Studies your merit function and calculates a sampling covariance matrix on the go
- Run Levenberg-Marquardt downhill fits or full MCMC---your choice
- Multithreaded graphic visualization with PGPLOT---watch your chains grow on the screen
- Run chains under MPI and a master process will monitor them for convergence
- User OpenMP in your merit function without disrupting the MCMC
License
GNU General Public License version 2.0 (GPLv2)Follow Hrothgar Parallel LM/MCMC Minimizer
Other Useful Business Software
Gen AI apps are built with MongoDB Atlas
MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Hrothgar Parallel LM/MCMC Minimizer!