Results 261 to 270 of about 213,445 (314)

Correction to "Dosimetric characteristics of LinaTech DMLC H multi leaf collimator: Monte Carlo simulation and experimental study". [PDF]

J Appl Clin Med Phys
europepmc   +1 more source

Monte-Carlo-Simulation

, 2018
openaire   +2 more sources

Some of the next articles are maybe not open access.

Related searches:

Monte Carlo simulation in demography

2008 3rd International Conference on Intelligent System and Knowledge Engineering, 2008
This paper is concerned with the application of Monte Carlo method in demography. In the past, most of scholars researched population at the macro level, just little at the micro level. Refer to SOCSIM and CAMSIM, we design a Monte Carlo simulation system in demography, which is micro simulation.
Jiayou Zhang, Qi'an Chen
openaire   +1 more source

Faster Monte Carlo simulations

Physical Review E, 1995
For Monte Carlo simulations of systems of size [ital M], either kinetic simulations or equilibrium simulations that use the method of Bortz, Kalos, and Liebowitz [J. Comput. Phys. [bold 17], 10 (1975)], the best computer time per event has been [ital O]([ital M][sup 1/2]). We present two methods whose computer time per event is [ital O]([ital M][sup 1/[
, Blue, , Beichl, , Sullivan
openaire   +2 more sources

Monte Carlo Simulations

2008
A description of Monte Carlo methods for simulation of proteins is given. Advantages and disadvantages of the Monte Carlo approach are presented. The theoretical basis for calculating equilibrium properties of biological molecules by the Monte Carlo method is presented.
David J, Earl, Michael W, Deem
openaire   +2 more sources

Monte-Carlo simulation balancing

Proceedings of the 26th Annual International Conference on Machine Learning, 2009
In this paper we introduce the first algorithms for efficiently learning a simulation policy for Monte-Carlo search. Our main idea is to optimise the balance of a simulation policy, so that an accurate spread of simulation outcomes is maintained, rather than optimising the direct strength of the simulation policy.
David Silver 0001, Gerald Tesauro
openaire   +1 more source

Monte Carlo and Quasi-Monte Carlo Simulation

2014
Is 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, Friedrich Pillichshammer   +1 more
openaire   +1 more source

Monte-Carlo Simulation Adjusting

Proceedings of the AAAI Conference on Artificial Intelligence, 2014
In this paper, we propose a new learning method sim- ulation adjusting that adjusts simulation policy to im- prove the move decisions of the Monte Carlo method. We demonstrated simulation adjusting for 4 × 4 board Go problems. We observed that the rate of correct an- swers moderately increased.
Nobuo Araki, Masakazu Muramatsu, Kunihito Hoki, Satoshi Takahashi   +3 more
openaire   +1 more source

Monte Carlo Simulation of Transport

Journal of Computational Physics, 1996
This paper is concerned with the problem of transport in controlled nuclear fusion as it applies to confinement in a tokamak or stellarator. Numerical experiments validate a mathematical model of Paul R. Garabedian in which the electric potential is determined by quasineutrality because of singular perturbation of the Poisson equation.
openaire   +1 more source

Monte Carlo simulation for IRRMA

Applied Radiation and Isotopes, 2000
Monte Carlo simulation is fast becoming a standard approach for many radiation applications that were previously treated almost entirely by experimental techniques. This is certainly true for Industrial Radiation and Radioisotope Measurement Applications--IRRMA.
R P, Gardner, L, Liu
openaire   +2 more sources