W orld Environment Day 2005 might be just the moment to highlight some pristine location that showcases what we most value about our environment: clean air, pure water, uncluttered landscapes, and rich plant and animal life. But instead, the United Nations (UN) Environment Programme turns to a city, San Francisco, as the focus for its celebrations. The reason is simple: Cities are where people ...

The field is expanded in a wavelet series and the wavelet coefficients are varied in a simulation of the 2D φ 4 field theory. The drastically reduced autocorrelations result in a substantial decrease of computing requirements, compared to those in local Metropolis simulations. The improvement is shown to be the result of an additional freedom in the choice of the allowed range of change at the ...

Electronic system design has been becoming more and more complex. It is very common to have dozens of IP modules in a single system. To quickly simulate the system is becoming a challenge. On the other hand, computing facilities, on which people run actual simulation, are becoming more and more powerful by having more powerful single processor and by building parallel machines. However, there i...

A Kernel Adaptive Metropolis-Hastings algorithm is introduced, for the purpose of sampling from a target distribution with strongly nonlinear support. The algorithm embeds the trajectory of the Markov chain into a reproducing kernel Hilbert space (RKHS), such that the feature space covariance of the samples informs the choice of proposal. The procedure is computationally efficient and straightf...

AIDS is a controversial issue in women's health; it affects reproductive and sexual health. This study aimed to compare the health of HIV+ women healthy who were referred behavioral disease counseling centers . cross-sectional, descriptive-analytical was performed on 100 Behavioral Diseases Counseling Center Ahvaz Abadan cities, Iran. Data

We present Metropolis Instant Radiosity (MIR), an unbiased algorithm to solve the Light Transport problem. MIR is a hybrid technique which consists in representing the incoming radiance field by a set of Virtual Point Lights (VPLs) and in computing the response of all sensors in the scene (i.e. camera captors) by accumulating their contributions. In contrast to other similar approaches, we prop...

indoor air quality is a general concept that specifies to air quality of buildings and is related to health and relaxation in there. this index contains removal of all contaminants for example microbial, gas types, particles, etc., and suggests remedial approaches toward refreshing the building air and air circulation in these constructions. in this article we study indoor air quality index (ia...

In this paper we propose a simple adaptive Metropolis-within-Gibbs algorithm attempting to study directions on which the Metropolis algorithm can be ran flexibly. The algorithm avoids the wasting moves in wrong directions by proposals from the full dimensional adaptive Metropolis algorithm. We also prove its ergodicity, and test it on a Gaussian Needle example and a real-life Case-Cohort study ...

The Hastings-Metropolis algorithm is a general MCMC method for sampling from a density known up to a constant. Geometric convergence of this algorithm has been proved under conditions relative to the instrumental distribution (or proposal). We present an inhomogeneous Hastings-Metropolis algorithm for which the proposal density approximates the target density, as the number of iterations increa...

We describe a serial algorithm called feature-inclusion stochastic search, or FINCS, that uses online estimates of edge-inclusion probabilities to inform the process of Bayesian model determination in Gaussian graphical models. FINCS is compared to Metropolis-based search methods and found to be superior along a variety of dimensions, leading to more accurate and less volatile estimates of edge...