نتایج جستجو برای: sequential indicator simulation

تعداد نتایج: 711295  

Journal: :Colloids and Surfaces A: Physicochemical and Engineering Aspects 2000

1997
Kevin Hammond Hans-Wolfgang Loidl Phil Trinder

Good prooling is a major issue in extracting performance from parallel programs. We report on a novel synthesis of sequential cost-centre prooling and state-of-the-art parallel simulation for the pure functional language Haskell that promises to provide detailed and accurate information about parallel Haskell programs. Exploiting simulation also improves the quality of sequential cost centre pr...

Journal: :IOP Conference Series: Materials Science and Engineering 2019

Journal: :International Journal of Computer Science and Informatics 2013

Journal: :Mathematical Geosciences 2021

Abstract In the mid-1980s, still in his young 40s, André Journel was already recognized as one of giants geostatistics. Many contributions from new research program at Stanford University had centered around indicator methods that he developed: kriging and multiple kriging. But when second crop graduate students arrived Stanford, lacked an approach to conditional simulation not tainted by what ...

Abdullah Mohamed Asiri Elsayed Hassan El-Mossalamy Ibrahim Shibl El-Hallag,

Diolefinic antibacterial laser dye namely 1,4-Bis[2-(4-Pyridyl) Vinyl] Benzene (4PVB)have been investigated electrochemically using cyclic voltammetry, chronoamperometry, convolution and deconvolution voltammetry combined with digital simulation techniques at a platinum electrode in 0.1 mol / L Tetra Butyl Ammonium Perchlorate (TBAP) in  solvent 1,2-dichloroethane.  The diolefinic ...

1999
Christophe Andrieu Nando De Freitas Arnaud Doucet

In this paper, we address the problem of sequential Bayesian model selection. This problem does not usually admit any closed-form analytical solution. We propose here an original sequential simulation-based method to solve the associated Bayesian computational problems. This method combines sequential importance sampling, a resampling procedure and reversible jump MCMC moves. We describe a gene...

Journal: :ISPRS Int. J. Geo-Information 2014
John Dolloff Peter Doucette

This paper presents practical methods for the sequential generation or simulation of a Gaussian two-dimensional random field. The specific realizations typically correspond to geospatial errors or perturbations over a horizontal plane or grid. The errors are either scalar, such as vertical errors, or multivariate, such as x, y, and z errors. These realizations enable simulation-based performanc...

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