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Browse All Reviews > Computing Methodologies (I) > Simulation And Modeling (I.6) > Types Of Simulation (I.6.8) > Monte Carlo (I.6.8...)
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1-7 of 7
Reviews about "Monte Carlo (I.6.8...)":
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Simulation and the Monte Carlo method (3rd ed.)
Rubinstein R., Kroese D., Wiley Publishing, Hoboken, NJ, 2017. 432 pp. Type: Book (978-1-118632-16-1)
Many practical systems fall under the theoretical framework of uncertain dynamical systems, which are then conveniently modeled according to probabilistic or random models. Simulation of such models constitutes a very important aspect ...
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Jun 27 2018 |
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A platform-oblivious approach for heterogeneous computing: a case study with Monte Carlo-based simulation for medical applications
Hung S., Tsai M., Huang B., Tu C. FPGA 2016 (Proceedings of the 2016 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Monterey, CA, Feb 21-23, 2016) 42-47, 2016. Type: Proceedings
The use of high-performance computing to deliver complex computation is becoming increasingly popular in developing medical applications. This is helpful to both the community of researchers working in medical applications and also to ...
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Apr 26 2016 |
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Large-scale parallel Monte Carlo tree search on GPU
Rocki K., Suda R. IPDPSW 2011 (Proceedings of the 25th IEEE International Parallel and Distributed Processing Symposium, Anchorage, AK, May 16-20, 2011) 2034-2037, 2011. Type: Proceedings
“Monte Carlo tree search (MCTS) is a method for making optimal decisions in artificial intelligence (AI) problems.” It takes random samples in a given decision space and builds a search tree according to the simulat...
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Nov 30 2012 |
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Nearly optimal importance sampling for Monte Carlo simulation of loss systems
Lassila P., Virtamo J. ACM Transactions on Modeling and Computer Simulation 10(4): 326-347, 2000. Type: Article
The research presented in this paper tackles the problem of estimating blocking probabilities in a multiservice loss system via simulation. This approach uses the static Monte Carlo simulation method and applies two importance sampling...
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Jul 1 2001 |
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Towards a polynomial-time randomized algorithm for closed product-form networks
Chen W., O’Cinneide C. ACM Transactions on Modeling and Computer Simulation 8(3): 227-253, 1998. Type: Article
A computational approach to evaluating the performance of a queueing network is presented. The particular queueing configuration considered in this paper is one in which the queueing network can be expressed by a product of the states ...
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Jun 1 1999 |
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The mean square discrepancy of randomized nets
Hickernell F. ACM Transactions on Modeling and Computer Simulation 6(4): 274-296, 1996. Type: Article
Multidimensional integrals over the S-dimensional unit cube can be approximated by the sample mean of the integral evaluated on a point set, P, with N points. The qua...
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Aug 1 1997 |
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Random processes in physical systems: an introduction to probability-based computer simulations
Whitney C., John Wiley & Sons, Inc., New York, NY, 1990. Type: Book (9780471517924)
In Whitney’s new approach to physics teaching, computer experimentation partially supplants laboratory work. The use of the desktop computer to gain an understanding of physical systems and their statistical properties is a b...
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May 1 1991 |
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