A Faster, More Accurate Gaussian Simulation

نویسنده

  • Colin Daly
چکیده

Introduction to Gaussian Random Function Simulation The so-called Gaussian Random Function simulation (GRFS) differs substantially from the Sequential Gaussian simulation (SGS) from GSLIB. GRFS more accurately reproduces distributions. It is typically faster than SGS, with additional efficiencies due to its parallel architecture. GRFS also has an option to run a fast collocated cosimulation – fast enough that it can be used with an interactive correlation coefficient slide bar.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Bayesian Estimation of Shift Point in Shape Parameter of Inverse Gaussian Distribution Under Different Loss Functions

In this paper, a Bayesian approach is proposed for shift point detection in an inverse Gaussian distribution. In this study, the mean parameter of inverse Gaussian distribution is assumed to be constant and shift points in shape parameter is considered. First the posterior distribution of shape parameter is obtained. Then the Bayes estimators are derived under a class of priors and using variou...

متن کامل

Improving Accuracy of DGPS Correction Prediction in Position Domain using Radial Basis Function Neural Network Trained by PSO Algorithm

Differential Global Positioning System (DGPS) provides differential corrections for a GPS receiver in order to improve the navigation solution accuracy. DGPS position signals are accurate, but very slow updates. Improving DGPS corrections prediction accuracy has received considerable attention in past decades. In this research work, the Neural Network (NN) based on the Gaussian Radial Basis Fun...

متن کامل

Impact of Input Pump Profile on the Gain Spectrum and the Saturation Behavior of One-Pump Fiber Optical Parametric Amplifiers

In this article, the impact of input pump profile on the gain spectrum as well as the saturation behavior of one-pump fiber optical parametric amplifiers (FOPAs) is investigated. Since in practical circumstances, pump sources used for FOPAs have Lorentz-Gaussian profile instead of Gaussian, a more realistic case is considered for simulating FOPAs in this article. The results of simulations for ...

متن کامل

Binomial Gaussian mixture filter

In this work, we present a novel method for approximating a normal distribution with a weighted sum of normal distributions. The approximation is used for splitting normally distributed components in a Gaussian mixture filter, such that components have smaller covariances and cause smaller linearization errors when nonlinear measurements are used for the state update. Our splitting method uses ...

متن کامل

Asymfast, a method for convolving maps with asymmetric beams

We describe a fast and accurate method to perform the convolution of a sky map with any asymmetric beam along any given complex scanning strategy. Although developped within the framework of Cosmic Microwave Background (CMB) observations, it can be used for any sky map that should be convolved with a complex beam shape. For a Planck-HFI instrument-like configuration, Asymfast is at least 50 tim...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012