• ISBN13: 9789811927140
• Binding: Hardcover
• Subject: Mathematics and Statistics
• Publisher: Springer Verlag
• Publisher Imprint: Springer
• Publication Date: October 16, 2022
• Pages: 194
• Original Price: EUR 49.99
• Language: English
• Edition: N/A
• Item Weight: 430 grams
• BISAC Subject(s): Programming / Algorithms

This textbook explains the fundamentals of Markov Chain Monte Carlo (MCMC) without assuming advanced knowledge of mathematics and programming. 2, which introduces readers to the Monte Carlo algorithm and highlights the advantages of MCMC, Chap.

Masanori Hanada is a theoretical physicist at the School of Mathematical Sciences, Queen Mary University of London. His research interests include strongly coupled quantum systems, quantum field theory, and superstring theory. He and his collaborators pioneered the application of Markov Chain Monte Carlo methods for superstring theory.
So Matsuura is a theoretical physicist at Research and Education Center for Natural Sciences, Keio University. His research interests include superstring theory and nonperturbative lattice formulation of supersymmetry quantum field theory. In addition to physics research, he has a strong passion for public outreach activities and delivers many public lectures.