This paper presents a new Hybrid Particle Swarm optimization with Time Varying Acceleration Coefficients (HPSOTVAC) and Bacteria Foraging Algorithm (BFA) namely (PSOTVAC/BFA) base fuzzy stochastic long term approach for determining optimum location and size of Distributed Energy Resources (DERs). The Monte Carlo simulation method is used to model the uncertainties associated with long-term load...

in this work the kinetic data demanded for kinetic modeling were obtained in temperatures 350, 400, 450 and 500 oc by conducting experimentations on a fe-cr nanocatalyst prepared from a novel method and a commercial fe-cr-cu one. the collected data were subjected to kinetic modeling by using two models derived from redox and associative mechanisms as well as an empirical one. the coefficients o...

We give a formula for the coefficients of the YablonskiiVorob’ev polynomial. Also the reduction modulo a prime number of the polynomial is studied.

A bstract One remaining problem of unitarity cut method for one-loop integral reduction is that tadpole coefficients can not be straightforward obtained through this way. In paper, we reconsider the by applying differential operators over an auxiliary vector R . Using operators, establish corresponding equations at first step. Then using tensor structure coefficients, transform to recurrence re...

BACKGROUND Support vector regression (SVR) and Gaussian process regression (GPR) were used for the analysis of electroanalytical experimental data to estimate diffusion coefficients. RESULTS For simulated cyclic voltammograms based on the EC, Eqr, and EqrC mechanisms these regression algorithms in combination with nonlinear kernel/covariance functions yielded diffusion coefficients with highe...