Study of preconditioners based on Markov Chain Monte Carlo methods
Document typeConference report
PublisherBarcelona Supercomputing Center
Rights accessOpen Access
Nowadays, analysis and design of novel scalable methods and algorithms for fundamental linear algebra problems such as solving Systems of Linear Algebraic Equations with focus on large scale systems is a subject of study. This research focuses on the study of novel mathematical methods and scalable algorithms for computationally intensive problems such as Monte Carlo and Hybrid Methods and Algorithms.
CitationEsquivel-Flores, Oscar A. Study of preconditioners based on Markov Chain Monte Carlo methods. A: "BSC Doctoral Symposium (2nd: 2015: Barcelona)". 2nd ed. Barcelona: Barcelona Supercomputing Center, 2015, p. 63-64.