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A Noisy Monte Carlo Algorithm with Fermion Determinant
並列摘要
We propose a Monte Carlo algorithm which accommodates an unbiased stochastic estimates of the fermion determinant and is exact. This is achieved by adopting the Metropolis accept/reject steps for the update of both the dynamical and noise configurations. We demonstrate how this algorithm works even for large noises. We also discuss the Padé - Z2 estimates of the fermion determinant as a practical way of estimating the Trln of the fermion matrix.
並列關鍵字
無資料被引用紀錄
楊長睿（2016）。中文時態自動標記及其在因果論元偵測之應用〔碩士論文，國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU201602008
張嘉祐（2010）。使用尺規化模糊控制進行太陽能系統之最大功率點追蹤的設計與實作〔碩士論文，朝陽科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0078-0601201112112604
Hsin, Y. C. (2016). ESMF code generator -- 一個幫助 Earth System Modeling Framework 使用者結合科學模型的輔助工具 [master's thesis, National Tsing Hua University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0016-2309201616095470
延伸閱讀
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