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摘要：. A general method, suitable for fast computing machines, for investigating such properties as equations of state for substances consisting of interacting individual molecules is described. The method consists of a modified Monte Carlo integration over configuration space. Results for the twoヾimensional rigid﹕phere system have been ...
In fact, the theoretical work was done by Marshall N. Rosenbluth, who later gained renown as one of the greatest plasma physicists of the 20th century. Equation of State Calculations by Fast Computing Machines is an article published by Nicholas Metropolis, Arianna W. Rosenbluth, Marshall N. Rosenbluth, Augusta H. Teller, and Edward Teller in the Journal of Chemical Physics in 1953.
NICHOLAS METROPOLIS, ARIANNA W. ROSENBLUTH, MARSHALL N. ROSENBLUTH, AND AUGUSTA H. TELLER, Los Alamos Scientific Laboratory, Los Alamos, New Mexico AND EDWARD TELLER, * Department of Physics, University of Chicago, Chicago, Illinois (Received March 6, 1953)
19 de mar. de 2021 · In fact, Arianna was able to successfully program and run the algorithm almost single-handedly. In June of 1956, Arianna quit working at LASL. The Rosenbluth family moved to California, where Marshall worked at General Atomic. Despite her previous success, Arianna did not return to work, instead choosing to stay at home to raise her children.
25 de jul. de 2021 · Arianna Rosenbluth changed the world before leaving science behind. 3.2K. 74 comments. 503 shares. Harvard Ph.D. Arianna Rosenbluth helped create one of the most powerful algorithms of all time.
Arianna Rosenbluth (født Wright ; 15. september 1927 - 28. desember 2020) Er fysiker og informatiker amerikaner.Hun bidro spesielt til utviklingen av Metropolis-Hastings-algoritmen og Monte-Carlo-metoden av Markov-kjeder.
We then calculate the change in energy of the system AE, which is caused by the move. If AE<O, i.e., if the move would bring the system to a state of lower energy, we allow the move and put the particle in its new position. If AE>O, we allow the move with probability exp(— AE/kT); i.e., we take a random number between 0 and I, and if we move ...
