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Monte Carlo method

Simulations of a typical CMOS amplifier circuit using the Monte Carlo method

Simulations of a typical CMOS amplifier circuit using the Monte Carlo method

... a Monte Carlo simulation. The Monte Carlo method (MMC) is a statistical method used in stochastic simulations with several applications in areas such as physics, mathematics and ...

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Monte Carlo method for solving a parabolic problem

Monte Carlo method for solving a parabolic problem

... tive method is pro posed to solve a par a bolic prob ...Crank-Nicolson method, and ob tain a large sparse sys tem of lin ear al ge braic equa tions Ax = b, then use Jacobi over-re lax ation it er a tive ...

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A Monte Carlo method for computing the action of a matrix exponential on a vector

A Monte Carlo method for computing the action of a matrix exponential on a vector

... the Monte Carlo method appears to be almost independent of the size of the network, while increasing almost linearly for the Krylov-based ...the Monte Carlo method this can ...

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Prediction Based Object Recovery Using Sequential Monte Carlo Method

Prediction Based Object Recovery Using Sequential Monte Carlo Method

... sequential Monte Carlo method to estimate the location of the missing object, by means of frequent updating of weighted samples with the help of the fine tuned ...proposed method, along with ...

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Monte Carlo Method for Physically-Based Drop Size Distribution Evolution

Monte Carlo Method for Physically-Based Drop Size Distribution Evolution

... Abstract—We report in this paper the evolution of a physically based drop size distribution coupling the Maximum Entropy Formalism and the Monte Carlo method to solve the coagulation equation. Using ...

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Application of a modified Monte Carlo method for the simulation of heat conduction in a rectangular slab

Application of a modified Monte Carlo method for the simulation of heat conduction in a rectangular slab

... When compared with the results of ordinary Monte Carlo method, the modified technique incurred a maximum error of 4% for 4 x 4 grids. Larger grids were obtained by seamless stitching of smaller grids ...

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A Monte Carlo method for solving the one-dimensional telegraph equations with boundary conditions

A Monte Carlo method for solving the one-dimensional telegraph equations with boundary conditions

... probabilistic method proposed here does not exhibit numerical dispersion and dissipation ...the method is not based on any sort of spatial and temporal discretization, as in finite difference ...the ...

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Equilibrium simulation: Monte Carlo method.

Equilibrium simulation: Monte Carlo method.

... SIMULATION: MONTE CARLO ...the Monte Carlo method in order to obtain the chemical equilibrium for several first-order reactions and one second-order ...

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Desempenho de colimadores cônicos para um experimento de espalhamento Compton usando o método de Monte Carlo / Performance of conical collimators for a Compton scattering experiment using the Monte Carlo method

Desempenho de colimadores cônicos para um experimento de espalhamento Compton usando o método de Monte Carlo / Performance of conical collimators for a Compton scattering experiment using the Monte Carlo method

... de Monte Carlo é considerado um método estatístico, já que nele, em muitos casos, não é necessária a implementação de fórmulas ou equações matemáticas para se descrever os fenômenos físicos, sendo ...

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A THIRD GENERATION TOMOGRAPHY SYSTEM WITH FIFTEEN DETECTORS SIMULATED BY MONTE CARLO METHOD

A THIRD GENERATION TOMOGRAPHY SYSTEM WITH FIFTEEN DETECTORS SIMULATED BY MONTE CARLO METHOD

... Solving a high number of linear equations based on measurements corrupted by random variables and noise, requires the use of iterative algorithms. The iterative methods are divided in two categories, the algebraic and ...

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An Algorithm for the Pricing of Path-Dependent American Options using Malliavin Calculus

An Algorithm for the Pricing of Path-Dependent American Options using Malliavin Calculus

... (“Monte Carlo on Monte Carlo”) of the Monte Carlo method to calculate conditional expec- ...“Monte Carlo on Monte Carlo” ...

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Braz. J. Phys.  vol.30 número4

Braz. J. Phys. vol.30 número4

... We propose an improvement of a Monte Carlo method designed to treat the Ising model in a eld.. [C.[r] ...

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Estimativa da produtividade em soldagem pelo Método de Monte Carlo.

Estimativa da produtividade em soldagem pelo Método de Monte Carlo.

... using Monte Carlo method to estimate productivity in industrial pipes welding of carbon steel based on small ...by Monte Carlo ...using Monte Carlo method in ...

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Braz. J. Phys.  vol.32 número2A

Braz. J. Phys. vol.32 número2A

... The steady state hole transport properties of GaSb were investigated by the Ensemble Monte Carlo.. method (EMC).[r] ...

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Facilidades de códigos de Monte Carlo para obter CSR

Facilidades de códigos de Monte Carlo para obter CSR

... the Monte Carlo method (MC) uses probabilistic functions and "random" numbers to perform calculations that simulate physical systems, such as the transport of radioactive ...

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Improving Langley calibrations by reducing diurnal variations of aerosol Ångström parameters

Improving Langley calibrations by reducing diurnal variations of aerosol Ångström parameters

... weighted Monte-Carlo method of finding an improved calibration constant by minimizing the diurnal variations in α and γ and apply the method to sun photometer data of a clear day in Innsbruck, ...

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J. Braz. Chem. Soc.  vol.27 número11

J. Braz. Chem. Soc. vol.27 número11

... the Monte Carlo method leads to significantly less conservative estimates of the coefficients’ confidence intervals, with relative differences ranging from –26 to ...

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J. Microw. Optoelectron. Electromagn. Appl.  vol.12 número2

J. Microw. Optoelectron. Electromagn. Appl. vol.12 número2

... the Monte Carlo method is efficient and easy to ...between Monte Carlo method applied directly to the power converter model and Monte Carlo method applied to ...

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PLEASE SCROLL DOWN FOR ARTICLE

PLEASE SCROLL DOWN FOR ARTICLE

... sequential Monte Carlo ...by Monte Carlo from the null hypothesis distribution until h of the simulated values are larger than the observed value u 0 ...

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Optimal Generalized Sequential Monte Carlo Test

Optimal Generalized Sequential Monte Carlo Test

... In this paper, we introduce a generalized sequential Monte Carlo allowing any monotonic shapes for the boundaries. For example, it is possible to construct boundaries which are close to each other in the ...

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