Monte Carlo simulation program
MONTE CARLO SIMULATION IN INTERNAL RADIOTHERAPY OF THYROID CANCER
... The simulation used to determine the interaction of radiation particles and matter is a Monte Carlo ...of Monte Carlo software is MCNPX (Monte Carlo N-Particle) made by a ...
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Statistical Analysis Of A Class: Monte Carlo And Multiple Imputation Spreadsheet Methods For Estimation And Extrapolation
... a Monte Carlo simulation, the program takes the original values from the sample and records them as the initial pool of ...the program generates another sample of the same size, in our ...
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Monte Carlo Simulation for Statistical Decay of Compound Nucleus
... A Monte Carlo simulation of the nuclear reaction process will be able to provide fully correlated information, ...called Monte Carlo Hauser-Feshbach (MCHF) [2, ...the Monte ...
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Analysing multi-level Monte Carlo for options with non-globally Lipschitz payoff
... allow us to quantify an improvement in computational complexity when standard Monte Carlo is replaced by the multi-level version of [4]; they also explain the numerical results presented there. Promising ...
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Monte Carlo Simulation and Improvement of Variance Reduction Techniques
... of Monte Carlo ...introduce Monte Carlo simulation firstly; then enumerate several commonly used methods of variance reduction and furtherly combine them to study whether it improves ...
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Analyze Monte Carlo Simulation Applications for Project Management
... the Monte Carlo simulation method and its uses in various fields, focusing primarily on its use in the field of project ...management. Monte Carlo simulation becomes more popular ...
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Probing the dynamic response of dense matter with x ray Thomson scattering
... • For partially ionized plasmas, it was shown that the DSF can be decomposed to recover the well-known expression of Chihara. The multicomponent generalisation of this model was adopted as the basic framework in order to ...
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Implementation of Board Games Using Monte Carlo Simulation
... We have seen that the computer can count the number of moves it takes in order for one player to play the game to completion.It's as easy for the computer to play the game thousands of times,and record the number of ...
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Optimal Mortgage Refinancing Based on Monte Carlo Simulation
... The rest of this paper is organized as follows. We choose a model to simulate alternative mortgage rate, then derive the cash flow schemes for the two types of loan settlement in Section 2. In Section 3, we formulate and ...
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Topological analysis in Monte Carlo simulation for uncertainty propagation
... Global (top row) and top five most significant topological signatures vertical cross sections of information entropy uncertainty index models for the low-input data confidence run.... To[r] ...
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Multilevel and quasi Monte Carlo methods for uncertainty quantification in particle travel times through random heterogeneous porous media
... Many of the existing variance reduction methods built upon pseudo-random sequences, e.g. MLMC, are focused on reducing the overall computational cost of a numerical simulation. QMC methods aim to accelerate the ...
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COMPARATIVE STUDY OF PARAMETRIC AND NON-PERAMETRIC VALUE AT RISK (VaR) METHODS
... historical simulation and Monte-Carlo simulation to calculate VaR, and assess suitability of these methods for risk measurement of equity ...and simulation techniques to generate data ...
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Variance analysis of control variate technique and applications in Asian option pricing
... The variance reduction appears so clearly conversable that the exact argument for its profit is sometimes connived. We shortly survey the underlying explanation for reduction of variance and look at it from the point of ...
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Variance in system dynamics and agent based modelling using the SIR model of infectious diseases
... VARIANCE EXPERIMENT FOR ABM AND SD In order to show how the variance differs in ABM and SD two models are built. One using SD with Monte Carlo simulation (to drive variation) and one using ABM which ...
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A beginner's guide to systems simulation in immunology
... systems simulation emerged as a complement of mathematics that allows to overcome some of these ...systems simulation modelling methods are closer to the natural description of the system, without the need ...
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Pharmacokinetics and pharmacodynamics of linezolid in plasma/cerebrospinal fluid in patients with cerebral hemorrhage after lateral ventricular drainage by Monte Carlo simulation
... a Monte Carlo simulation was used to calculate the probability of target attainments (PTAs) for linezolid achieving the PK/PD index at different minimal inhibitory concentrations ...
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An algorithm using GARCH process , Monte Carlo simulation and wavelets analysis for stock prediction
... An algorithm using GARCH process , Monte-Carlo simulation and wavelets analysis for stock prediction Giovanis, Eleftherios.[r] ...
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Estimation Of Minimum Counts For An Acceptable Pulse Shape Using Scintillation Detector From 200To 2000 Kev Energy
... of Monte Carlo simulation to estimate minimum count limits for an acceptable pulse shape, which were identified by calculating ratios of Full Width at Tenth Maximum (FWTM) to Full Width at Half ...
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Monte Carlo simulation as a service in the Cloud
... of Monte-Carlo simulations generates a large number of results which need to be assimilated into a single graph for which our service follows current finance industry practise and uses ...stochastic ...
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An update on the BQCD Hybrid Monte Carlo program
... Abstract. We present an update of BQCD, our Hybrid Monte Carlo program for simulat- ing lattice QCD. BQCD is one of the main production codes of the QCDSF collaboration and is used by CSSM and in ...
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