introduction dose calculation of tumor and surrounding tissues is essential during prostate brachytherapy. three radioisotopes, namely, 125i, 103pd, and 131cs, are extensively used in this method. in this study, we aimed to calculate the received doses by the prostate and critical organs using the aforementioned radioactive seeds and to investigate the effect of scattering contribution for the ...

introduction pterygium is a wing-shaped, vascular, fleshy growth that originates from the conjunctiva and can spread into the corneal limbus and beyond. beta irradiation after bare sclera surgery of primary pterygium is a simple, effective, and safe treatment, which reduces the risk of local recurrence. materials and methods dosimetric components of strontium-90 (90sr), phosphorous-32 (32p), an...

introduction in this study, we aimed to calculate dose enhancement factor (def) for gold (au) and iron (fe) nanoparticles (nps) in brachytherapy and teletherapy, using monte carlo (mc) method. materials and methods in this study, a new algorithm was introduced to calculate dose enhancement by aunps and fenps for iridium-192 (ir-192) brachytherapy and cobalt-60 (co-60) teletherapy sources, using...

Monte Carlo and quasi Monte Carlo methods are simulation techniques that have been de signed to e ciently estimate integrals for instance Quasi Monte Carlo asymptotically outperforms Monte Carlo but the error can hardly be estimated We propose here to recall how hybrid Monte Carlo Quasi Monte Carlo have been developed to easily get error estimations with a special em phasis on the so called ran...

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...

In this article we discuss the multilevel Monte Carlo method for stochastic differential equations driven by jump-diffusion processes. We show that for a reasonable jump intensity the multilevel Monte Carlo method for jump-diffusions reduces the computational complexity compared to the standard Monte Carlo method significantly for a given mean square accuracy. Carrying out numerical experiments...

We compare empirical convergence of Monte Carlo and quasi Monte Carlo estimates of the H-period forecasts using the Cox-Ingersoll-Ross square root diffusion model. The behaviour of the quasi Monte Carlo estimates in high dimensions (H = 250) using both Euler scheme and the Brownian bridge discretisation is analysed. We find that quasi Monte Carlo estimator displays much higher convergence rate ...

Monte Carlo applications are widely perceived as computationally intensive but naturally parallel. Therefore, they can be effectively executed on the grid using the dynamic bag-of-work model. We improve the efficiency of the subtask-scheduling scheme by using an N-out-of-M strategy, and develop a Monte Carlo-specific lightweight checkpoint technique, which leads to a performance improvement for...