Monte Carlo Simulation Technique
System wide assessment of intervention strategies for railway infrastructure
... for simulation and analysis of railway track asset management strategies integrating different elements of the whole railway ...modelling technique to construct the railway system ...the Monte ...
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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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Monte Carlo Simulation for Statistical Decay of Compound Nucleus
... to the all possible final states, the next state ((Z , A − 1 , E 0 x ), for example) is determined by a random sampling technique. We repeat this procedure until the nucleus reaches one of the discrete levels. At ...
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Simulation Based Optimum Sensor Selection Design for an Uncertain EMS System Via Monte Carlo Technique
... Inspecting the Ω column that reflects the nominal perfor- mance of the EMS system it can be seen that id:1 and 2 violate the stability margin while the rest of the sensor sets satisfy it. Comparing the EMS performance ...
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Simulation of Dose Assessment for Special Environmental Radioactivity Distribution Using Monte Carlo Technique
... Many researchers use the estimation method of exposure doses due to natural radioactivity adopted by UNSCEAR equation, which is based on an infinite plan source modeling. The results in most cases are acceptable within ...
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A New Approach to Monte Carlo Simulation of Operations
... Monte Carlo methods have been developed into a technique called Monte Carlo tree search [2] that is useful for searching for the best move in a ...moves. Monte Carlo ...
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Importance sampling simulation for evaluating lower bound symbol error rate of the Bayesian DFE with multi level signalling schemes
... a simulation technique that aims to reduce the variance of the error rate ...shorter simulation runs, compared with a conventional Monte Carlo ...a simulation have more impact on ...
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Monte Carlo Simulation and Improvement of Variance Reduction Techniques
... reduction technique is an important method to improve the efficiency of Monte Carlo ...introduce Monte Carlo simulation firstly; then enumerate several commonly used methods of ...
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MONTE CARLO SIMULATION IN INTERNAL RADIOTHERAPY OF THYROID CANCER
... Thyroid cancer is at the ninth from ten of common malignant cancer. A man has higher risk to get Thyroid cancer than a woman has. This organ is lain near human neck. It adheres on trachea and fascia pretrachealis. There ...
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Implementation of Board Games Using Monte Carlo Simulation
... ABSTRACT: Monte Carlo simulation is a problem solving technique that is used to approximate the probability of certain outcomes based on running simulations multiple ...A Monte ...
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Variance analysis of control variate technique and applications in Asian option pricing
... The distribution of the sum of lognormal prices has no explicit representation. Therefore, arith- metic Asian options do not have a analitically price formulas. Thus, solutions for the arithmetic Asian options are more ...
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Life-cycle risk (damage stability) management of passenger ships
... on Monte Carlo (MC) sampling in conjunction with numerical flooding simulations (referred to subsequently as MC ...MC simulation is a viable technique for stability assessment in accordance ...
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Optimal Mortgage Refinancing Based on Monte Carlo Simulation
... This paper focuses on the numerical simulation approach for finding the best refinancing strategy for mortgage borrow- ers in a stochastic interest environment. Interesting properties of the optimal refinancing ...
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Analysing multi-level Monte Carlo for options with non-globally Lipschitz payoff
... Monte Carlo experiment. From the perspective of a confidence interval width, this error is O(1/ √ N ) [5]. Overall, we may regard µ as giving an accuracy of O(h) + O(1/ √ N ). To achieve a target accuracy ...
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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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Probing the dynamic response of dense matter with x ray Thomson scattering
... diagnostic technique necessarily diverges; experiments using low-energy EM radiation, such as optical-wavelength and infrared light, microwaves and radio waves, evolved along a separate, largely independent ...
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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
... & Simulation; Multimedia; Neural Systems/Neural Networks; Numerical Analysis/Scientific Computing; Object Oriented Programming; Operating Systems; Programming Languages; Robotics; Symbolic & Formal Logic; ...
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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 of the CGMY process and option pricing
... trary truncation rules. In addition, we study the representation of the CGMY process as subordinated Brownian motion of Madan and Yor (2008), which also admits a closed form expression for the characteristic function of ...
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