the Monte Carlo method
Simulation for Callable Convertible Discount Bonds with Monte Carlo Method
... The Monte Carlo method is used to conduct a large number of random simulations on the change path of the underlying stock price on the future time ...
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Application of Monte Carlo method in Grid Computing and Allied Fields
... The Monte Carlo method is intensively used in various areas of scientific ...the Monte Carlo method is of great interest for solving systems with unknown analytical ...
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Mean exit times and the multilevel Monte Carlo method
... 4.2. Multilevel Monte Carlo. Giles in [13] considered the problem of computing some function of the final-time SDE solution, E [ f ( X ( T ))], where f is globally Lipschitz, a problem that arises naturally ...
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Evaluation of Investment Risks in CBA with Monte Carlo Method
... KORYTÁROVÁ JANA, POSPÍŠILOVÁ BARBORA. 2015. Evaluation of Investment Risks in CBA with Monte Carlo Method. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 63(1): 245–251. ...
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Uncertainty analysis for a wave energy converter: the Monte Carlo method
... to a value of three. Put another way, the breakwater integrated WEC is harnessing three times the incident wave energy, due to reflection and resonance. The uncertainty results are very similar to those of P h,δ , due to ...
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RISK ASSESSMENT WITH THE USE OF THE MONTE-CARLO METHOD
... Below the figure shows the area of possible human injury in case of ejection of steel fragment having a reduced diameter of 1 cm. The fragment ejection is assumed to be at 2 m height. The initial fragment velocity is ...
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The Monte Carlo method to find eigenvalues and eigenvectors
... [1] Bratley, P., Fox, L.B. and Schrage, L.E.: A Guide to Simulation, Springer Verlag, 1987. [2] Ciuiu, D.: Solving Linear Systems of Equations and Differential Equations with Partial Derivatives by the Monte ...
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A Simple Monte Carlo Method for the Calculation of Efficiency Limit for Current
... employed Monte Carlo statistical technique to resolve equation system that is significantly potential to describe the current density versus voltage characteristics of each sub‐cell, to determine its ...
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The quantum Monte Carlo method : application to problems in statistical physics
... Section 3.) of Chapter 2 and the curves presented in Figure 3.5 are the results of superimposing many segments of the random walk trajectory. As discussed in Chapter 2, estimates of the expectation values of the ...
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Applications of the Fixed-node Quantum Monte Carlo Method.
... CI) method might build an exact wave function as a linear combination of the HF determinant and all excited determinants ...the method and can be another obstacle to considering a larger space of ...
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RISK ASSESSMENT WITH THE USE OF THE MONTE-CARLO METHOD
... Purpose. This work involves the development of a numerical model for the calculation of chemical contamina- tion zones in the event of ammonia accident at the pumping station, as well as a model for assessing the risk of ...
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Lattice switching Monte Carlo method for crystals of flexible molecules
... Our MC simulations consist of whole molecule translations and rotations, plus two moves which sample from the confor- mations available to each of the N chain molecules, torsion, and configurational bias Monte ...
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Reliability Assessment of Bearings Based on Performance Degradation Values under Small Samples
... good method to enlarge the sample ...bootstrapping method, according to [17]. Li et al. [18] pointed out that the method was useful for statistics with an unknown distribution and datasets with small ...
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Analysing multi-level Monte Carlo for options with non-globally Lipschitz payoff
... (Multilevel Monte Carlo path simulation Operations Research, 2008; 56: 607–617) introduced a multi-level Monte Carlo method for approximating the expected value of a function of a ...
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Calibration of dynamic responses in a physiological model
... a Monte-Carlo method was used to generate a distribution of a selected model response variable (response ...a method to obtain parameter distributions that minimise the error between a ...
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Parallel Quasirandom Applications on Heterogeneous Grid
... In the present paper we propose and study parallel Sobol sequence application in heterogeneous grid en- vironment. Sobol sequence is one of the most popular quasirandom sequences. We first present the algorithm for fast ...
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Pricing of Double Barrier Options by Spectral Theory
... of the option price similar to our, but he follows a different approach from our. In this paper we compare the spectral expansion of the option price with the Monte Carlo Method. We show that using ...
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Monte Carlo Simulation Method To Predict The Charging Load Curve
... Numbers Monte Carlo method is a method used to solve physical and mathematical problems by repeated statistical ...with Monte Carlo method, solutions are often constructed ...
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Charged Particles in a Dielectric with Friction is THE Fundamental Problem in Plasmas, including Plasmas of Life
... RyR RyR Channel Channel PNP/DFT Monte Carlo PNP/DFT Monte Carlo Selectivity filter Various. many − charges[r] ...
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