[PDF] Top 20 Application of Monte Carlo method in Grid Computing and Allied Fields

... Monte Carlo simulation provides a number of advantages over deterministic, or “single-point estimate” ...a Monte Carlo simulation generates, it’s easy to create graphs of different outcomes ... See full document

... a grid where each cell is in a certain state and evolves according to transition rules and rates dependent on a surrounding ...Parallel computing (high performance computing) is one solution that can ... See full document

... of Monte Carlo methods is that they are usually very easy to be ...quasi-Monte Carlo application depends crucially on various quality aspects of the parallel quasirandom sequences used ... See full document

... Using the posterior mean estimates from each of the converged Bayesian algorithms from the previous section, we used GSAS-II to generate a calculated diffraction profile. Table 4.2 summarizes the computation time and ... See full document

... design method and analysis of safety factors, while the Random design method and the reliability analysis have become popular in the world for many ...the method of calculating reliability for ... See full document

... Range-based localization requires additional hardware and power consumption, so nodes can achieve accurate positioning resolution. However, the demand to reduce hardware dependency and energy cost has been the focus of ... See full document

... Let be n points in p : X (1) ,…, X (n) . The orthogonal linear variety of the dimension k (0<k<p) is that linear variety with the minimum sum of the squares of Euclidean distances. We know (see [9]) that this ... See full document

... Typically, the posterior distribution is intractable, in the sense that direct sampling is unavail- able. One way to circumvent this problem is to use a Markov chain Monte Carlo (MCMC) approach to sample ... See full document

... volume of the percolating cluster, and the order parameter P for all the values of population probability p (fractional volume) in parallel. Such a structure of the parallel calculations allows drastically decreasing the ... See full document

... a Monte Carlo estimation procedure, the path produced by successive partial estimates is often used as a guide for informal convergence ...the Monte Carlo procedure and thence of the estimate ... See full document

... In our simulations, q * ⫽ 2.321 and q * ⫽ 4.642, corre- sponding to monovalent ions with d ⫽ 3 Å at T ⫽ 300 K in dielectric media with ␧ ⫽ 80 and ␧ ⫽ 40, respectively. How- ever, our conclusions are not tied to any ... See full document

... The classification system of Abdulle et al. [2012] is used to distinguish be- tween various multiscale problems. Those which involve localised non-equilibrium ef- fects are labelled as type I problems. To independently ... See full document

... allow us to quantify an improvement in computational complexity when standard Monte Carlo is replaced by the multi-level version of [4]; they also explain the numerical results presented there. Promising ... See full document

... This paper proposes new bounds on the prices of European-style swaptions for affine and quadratic interest rate models. These bounds are computable whenever the joint characteristic function of the state variables is ... See full document

... [r] ... See full document

... to plants where the pedigree sizes are usually large due Mixed model: Assume that the mapping population to the need to invert large IBD matrices repeatedly for consists of n individuals with arbitrary pedigree relation- ... See full document

... ICC method allows to impose arbitrary boundary con- ditions on various boundaries in the system ...the method of [58] supplemented by the “curvature corrections” introduced in [59] and we report results for ... See full document

... LSMC method is hence best viewed as a complement to existing methods based on thermodynamic integration or lattice dynamics, for use where high accuracy is ... See full document

... The water table depth is the bottom boundary condition which affects the matric suction and/or degree of saturation of soil in the influence zone of shal- low foundation. The U.S. Geological Survey (USGS) and National ... See full document

... diffusion Monte Carlo and GFMC results is generally ...quantum Monte Carlo calculations give ground state energies which are approximately ... See full document