Bias of the Monte-Carlo estimate of keff for a nuclear reactor calculated by generation method with a constant number of points

1992 ◽  
Vol 61 (5) ◽  
pp. 2374-2382
Author(s):  
R. Kh. Khairullin
Keyword(s):  
Monte Carlo ◽  
Nuclear Reactor ◽  
Constant Number ◽  
Monte Carlo Estimate ◽  
Carlo Estimate

A monte-carlo estimate of DNA loop formation

Biopolymers ◽  
1984 ◽  
Vol 23 (3) ◽  
pp. 601-605 ◽  
Author(s):  
Carol Beth Post
Keyword(s):  
Monte Carlo ◽  
Loop Formation ◽  
Monte Carlo Estimate ◽  
Dna Loop ◽  
Carlo Estimate

Accelerated local Monte Carlo estimate in calculation of laser radiation fields in tissue

1999 ◽  
Author(s):  
Alexander V. Lappa ◽  
Vladimir A. Kamalov ◽  
Alexey E. Potapov ◽  
Ilia E. Shipitsin
Keyword(s):  
Monte Carlo ◽  
Laser Radiation ◽  
Radiation Fields ◽  
Monte Carlo Estimate ◽  
Carlo Estimate

Bayesian optimal design of fixed knockout tournament brackets

2016 ◽  
Vol 12 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Jonathan Hennessy ◽  
Mark Glickman
Keyword(s):  
Monte Carlo ◽  
Simulated Annealing ◽  
Optimal Design ◽  
Expected Utility ◽  
Partial Information ◽  
Direct Computation ◽  
Monte Carlo Estimate ◽  
Bayesian Optimal Design ◽  
Knockout Tournament ◽  
Carlo Estimate

AbstractWe present a methodology for finding globally optimal knockout tournament designs when partial information is known about the strengths of the players. Our approach involves maximizing an expected utility through a Bayesian optimal design framework. Given the prohibitive computational barriers connected with direct computation, we compute a Monte Carlo estimate of the expected utility for a fixed tournament bracket, and optimize the expected utility through simulated annealing. We demonstrate our method by optimizing the probability that the best player wins the tournament. We compare our approach to other knockout tournament designs, including brackets following the standard seeding. We also demonstrate how our approach can be applied to a variety of other utility functions, including whether the best two players meet in the final, the consistency between the number of wins and the player strengths, and whether the players are matched up according to the standard seeding.

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