Irreversible Markov chain Monte Carlo algorithm for self-avoiding walk

• المؤلفون الرئيسيون: Hu, Hao, Chen, Xiaosong, Deng, Youjin
• مؤلفون آخرون: School of Chemical and Biomedical Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2017
• الموضوعات: Monte Carlo algorithms; Self-avoiding walk
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/83349; http://hdl.handle.net/10220/42534

We formulate an irreversible Markov chain Monte Carlo algorithm for the self-avoiding walk (SAW), which violates the detailed balance condition and satisfies the balance condition. Its performance improves significantly compared to that of the Berretti–Sokal algorithm, which is a variant of the Metr...