نتایج جستجو برای: inverse monte carlo

تعداد نتایج: 161249  

Journal: :Acta Crystallographica Section A Foundations and Advances 2020

Journal: :IEEE transactions on radiation and plasma medical sciences 2022

Inverse planning is an essential tool for optimizing the delivered radiation dose on low-dose-rate (LDR) prostate brachytherapy. Clinical inverse systems use TG-43 computation formalism in order to perform a fast optimization. However, this method approximation that often leads overestimation, resulting suboptimal plans. Alternatively, Monte Carlo simulation (MCS) can be used obtain accurate di...

Journal: :J. Comput. Physics 2016
Lingfei Wu Andreas Stathopoulos Jesse Laeuchli Vassilis Kalantzis Efstratios Gallopoulos

A number of applications require the computation of the trace of a matrix that is implicitly available through a function. A common example of a function is the inverse of a large, sparse matrix, which is the focus of this paper. When the evaluation of the function is expensive, the task is computationally challenging because the standard approach is based on a Monte Carlo method which converge...

Journal: :journal of physical & theoretical chemistry 2009
m. monajjemi a. r. oliaey

the determination of gyration radius is a strong research for configuration of a macromolecule. italso reflects molecular compactness shape. in this work, to characterize the behavior of theprotein, we observe quantities such as the radius of gyration and the average energy. we studiedthe changes of these factors as a function of temperature for acetylcholine receptor protein in gasphase with n...

Journal: :Computational Statistics & Data Analysis 2014
Carlos A. Abanto-Valle Dipak K. Dey

We propose a state space mixed models for binary time series where the inverse link function is modeled to be a cumulative distribution function of the scale mixture of normal (SMN) distributions. Specific inverse links examined include the normal, Student-t, slash and the variance gamma links. We use the threshold latent approach (Albert and Chib, 1993) to represent the binary system as a line...

2014
Nikolas Kantas Alexandros Beskos Ajay Jasra

We consider the inverse problem of estimating the initial condition of a partial differential equation, which is only observed through noisy measurements at discrete time intervals. In particular, we focus on the case where Eulerian measurements are obtained from the time and space evolving vector field, whose evolution obeys the two-dimensional Navier-Stokes equations defined on a torus. This ...

Kinetic Monte Carlo simulation was applied to investigation of kinetics and mechanism of oxalic acid degradation by direct and heterogeneous catalytic ozonation. La-containing perovskites including LaFeO3, LaNiO3, LaCoO3 and LaMnO3 was studied as catalyst for oxalic acid ozonation. The reaction kinetic mechanisms of each abovementioned catalytic systems has been achieved. The rate constants val...

Journal: :Bayesian Analysis 2021

Sequential Monte Carlo (SMC) samplers are an alternative to MCMC for Bayesian computation. However, their performance depends strongly on the Markov kernels used rejuvenate particles. We discuss how calibrate automatically (using current particles) Hamiltonian within SMC. To do so, we build upon adaptive SMC approach of Fearnhead and Taylor (2013), also suggest methods. illustrate advantages us...

Journal: :iranian journal of medical physics 0
mohammad taghi bahreyni toossi professor, medical physics research center, bu-ali research institute, mashhad university of medical sciences, mashhad, iran mehdi momen nezhad ph.d., linear accelerator dept., imam reza hospital, mashhad university of medical sciences, mashhad, iran seyed mohammad hashemi m.sc., medical physics research center, mashhad university of medical sciences, mashhad, iran

introduction: in recent decades, several monte carlo codes have been introduced for research and medical applications. these methods provide both accurate and detailed calculation of particle transport from linear accelerators. the main drawback of monte carlo techniques is the extremely long computing time that is required in order to obtain a dose distribution with good statistical accuracy. ...

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