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The book presents an innovative Markov chain optimization technique that departs from traditional detailed balance principles. It explores a quantum Monte Carlo method specifically designed for nonconserved particles, integrating it with excitation level analysis to enhance computational efficiency and accuracy in various applications. This approach offers new insights into particle behavior and optimization strategies in complex systems.
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Geometrically Constructed Markov Chain Monte Carlo Study of Quantum Spin-Phonon Complex Systems, Hidemaro Suwa
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- Pubblicato
- 2016
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