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  1. 5521

    Graph-Based Symbolic Technique and Its Application in the Frequency Response Bound Analysis of Analog Integrated Circuits by E. Tlelo-Cuautle, S. Rodriguez-Chavez, A. A. Palma-Rodriguez

    Published 2014-01-01
    “…Our simulations demonstrate the usefulness of the new GBST for deriving the exact symbolic expression for H(s), and the last section highlights the good agreement between the frequency response bounds computed by our variational analysis approach versus traditional Monte Carlo simulations. As a conclusion, performing variational analysis using our proposed GBST for computing the frequency response bounds of analog ICs, shows a gain in computing time of 100x for a differential circuit topology and 50x for a 3-stage amplifier, compared to traditional Monte Carlo simulations.…”
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    Article
  2. 5522

    Lattice Methods for Pricing American Strangles with Two-Dimensional Stochastic Volatility Models by Xuemei Gao, Dongya Deng, Yue Shan

    Published 2014-01-01
    “…This proposed method is compared with the least square Monte-Carlo method via numerical examples.…”
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    Article
  3. 5523

    Adsorption of Lennard-Jones Fluids in Carbon Slit Pores of a Finite Length. A Computer Simulation Study by A. Wongkoblap, S. Junpirom, D.D. Do

    Published 2005-02-01
    “…The effects of the number of cycles necessary to reach equilibrium, the initial allocation of particles, the displacement step and the simulation box size were particularly investigated in the Monte Carlo simulation with Canonical Ensembles. Of these parameters, the displacement step had the most significant effect on the performance of the Monte Carlo simulation. …”
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    Article
  4. 5524

    Safe use of jet pull by Andrew Larkoski, Simone Marzani, Chang Wu

    Published 2020-01-01
    “…Furthermore, because of their sensitivity to wide-angle soft radiation, we anticipate that these asymmetries can play an important role in assessing subleading colour correlations and their modelling in general-purpose Monte Carlo parton showers.…”
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    Article
  5. 5525

    Scattering and Doppler Spectral Analysis for a Fast-Moving Target above Time-Varying Lossy Dielectric Sea Surface by Ke Li, Lixin Guo, Juan Li

    Published 2016-01-01
    “…Surfaces are time-varying Monte Carlo simulations initialized as realizations of a Pierson–Moskowitz spectrum. …”
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    Article
  6. 5526

    Latitudinal Dependence of Cosmic Rays Modulation at 1 AU and Interplanetary Magnetic Field Polar Correction by P. Bobik, G. Boella, M. J. Boschini, C. Consolandi, S. Della Torre, M. Gervasi, D. Grandi, K. Kudela, S. Pensotti, P. G. Rancoita, D. Rozza, M. Tacconi

    Published 2013-01-01
    “…This variation, termed solar modulation, is described using a 2D (radius and colatitude) Monte Carlo approach for solving the Parker transport equation that includes diffusion, convection, magnetic drift, and adiabatic energy loss. …”
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    Article
  7. 5527
  8. 5528

    Diffusion of Particles on a Fluctuating Surface by Alexander Tarasenko, Lubomir Jastrabik

    Published 2011-06-01
    “…Using kinetic Monte Carlo simulations, we have investigated within the framework of a simple lattice–gas diffusion model, the diffusion of particles adsorbed onto a lattice with moving surface atoms. …”
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  9. 5529
  10. 5530
  11. 5531

    Nonstationary INAR(1) Process with th-Order Autocorrelation Innovation by Kaizhi Yu, Hong Zou, Daimin Shi

    Published 2013-01-01
    “…The performance of the autoregressive coefficient estimators is assessed through the Monte Carlo simulations.…”
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    Article
  12. 5532

    New Methods with Capped Options for Pricing American Options by Dongya Deng, Cuiye Peng

    Published 2014-01-01
    “…We propose two new methods: improved binomial methods and improved least square MonteCarlo methods (LSM), for pricing American options. …”
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    Article
  13. 5533

    Novel Complete Probabilistic Models of Random Variation in High Frequency Performance of Nanoscale MOSFET by Rawid Banchuin

    Published 2013-01-01
    “…The proposed models have been verified based on the 65 nm CMOS technology by using the Monte-Carlo SPICE simulations of benchmark circuits and Kolmogorov-Smirnov tests as highly accurate since they fit the Monte-Carlo-based analysis results with 99% confidence. …”
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    Article
  14. 5534

    Reliability Model of the Fly-By-Wire System Based on Stochastic Petri Net by Zhong Lu, Zhiwen Zhang, Lu Zhuang, Jia Zhou

    Published 2019-01-01
    “…The results show that the error of the reliability value in a flight duration obtained by our Monte Carlo simulation method is less than 1×10−4 compared with the analytical equation.…”
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  15. 5535

    Analysis of competing risks model using the generalized progressive hybrid censored data from the generalized Lomax distribution by Amal Hassan, Sudhansu Maiti, Rana Mousa, Najwan Alsadat, Mahmoued Abu-Moussa

    Published 2024-11-01
    “…The performance of different estimators was compared using Monte Carlo simulation, and real-data applications were used to verify the proposed estimates.…”
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  16. 5536
  17. 5537
  18. 5538

    Comparison Between the Kernel Functions Used in Estimating the Fuzzy Regression Discontinuous Model by Mohammad Jasim Mohammad, Sajad Sammer Abd Al-Razzaq

    Published 2023-03-01
    “…This is done through the fuzzy regression discontinuous model, where the Epanechnikov Kernel and Triangular Kernel were used to estimate the model by generating data from the Monte Carlo experiment and comparing the results obtained. …”
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  19. 5539

    Extropy estimation of Weibull distribution under upper records by Nour El Houda Zouaoui

    Published 2023-12-01
    “…We apply the Markov Chain Monte Carlo (MCMC) method to provide a Bayesian estimator. …”
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  20. 5540

    Analysis for channel capacity of BPSK-based optical wireless communication system by CHEN Jun, HUANG De-xiu, YUAN Xiu-hua

    Published 2007-01-01
    “…The atmospheric turbulence intensity is analyzed by the Γ model based on the theory of information,and the channel capacity of optical wireless communication system based BPSK is calculated by Monte Carlo integral,the detailed analysis of the channel capacity versus the signal-noise-rate(SNR) in different turbulence intensity is given,it is a key theoretical basis for the designs of optical wireless communication.…”
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