Results 251 to 260 of about 1,205,834 (315)
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2019
The sequential use of random numbers, to sample the values of probability variables, allows obtaining solutions to mathematical problems such as the Monte Carlo method, that allows to model stochastic parameters or deterministic based on random sampling.
Lorenzo Cevallos-Torres +1 more
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The sequential use of random numbers, to sample the values of probability variables, allows obtaining solutions to mathematical problems such as the Monte Carlo method, that allows to model stochastic parameters or deterministic based on random sampling.
Lorenzo Cevallos-Torres +1 more
openaire +1 more source
Markov Chain Monte Carlo in Practice.
Annual Review of Public Health, 2021Markov chain Monte Carlo (MCMC) is an essential set of tools for estimating features of probability distributions commonly encountered in modern applications.
Galin L. Jones, Qian Qin
semanticscholar +1 more source
Multicanonical Monte Carlo Simulations
International Journal of Modern Physics C, 1993The multicanonical ensemble is reviewed. Simulations of this ensemble promise improvements for a wide range of systems. Applications to first order phase transitions and spin glasses are summarized.
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Simulation and the Monte Carlo Method (3rd ed.)
Technometrics, 2019Chapter 3 discusses statistical models and techniques to achieve these objectives. Chapter 4 is on fundamentals of noise analysis and Chapter 5 on noise filtering. Chapters 3 and 4 can be considered the most substantial and interesting, particularly from
M. Marzjarani
semanticscholar +1 more source
Monte Carlo and Quasi-Monte Carlo Simulation
2014Is this chapter we will learn the basics of pricing derivatives using simulation methods. We will consider both Monte-Carlo and quasi-Monte Carlo but – of course – with a special emphasis on the latter. The aim of our exposition is not to provide a large toolbox for the quantitative analyst, but to help getting started with the topic. QMC-pricing is an
Gunther Leobacher +1 more
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2006
In the general overview on materials and their characteristics, outlined in Sect. 1.3, it has been stated that materials and their characteristics result from the processing of matter. Thus, condensed matter physics is one of the fundamentals for the understanding of materials.
Xiao Hu +2 more
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In the general overview on materials and their characteristics, outlined in Sect. 1.3, it has been stated that materials and their characteristics result from the processing of matter. Thus, condensed matter physics is one of the fundamentals for the understanding of materials.
Xiao Hu +2 more
openaire +1 more source
2013
The purpose of this chapter is to provide a practical guide to conduct Monte Carlo simulation as an important numerical technique to solve various problems encountered in hydrosystem engineering. As this method uses repeated random sampling to find approximate solutions by generating sequences of random numbers, the basic theory behind random numbers ...
Ehsan Goodarzi +2 more
+4 more sources
The purpose of this chapter is to provide a practical guide to conduct Monte Carlo simulation as an important numerical technique to solve various problems encountered in hydrosystem engineering. As this method uses repeated random sampling to find approximate solutions by generating sequences of random numbers, the basic theory behind random numbers ...
Ehsan Goodarzi +2 more
+4 more sources
Zeitschrift für Risikomanagement (ZfRM), 2023
Navid Azarafroz, Nils J. Balke
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Navid Azarafroz, Nils J. Balke
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