Results 21 to 30 of about 114,035 (266)
Monte Carlo Simulation and Applications
Journal of Kufa for Mathematics and Computer, 2012 The Monte Carlo simulation technique is one of the common computational tools used to imitate and follow up complex real life systems and their development with time. Variables of a disease problem were defined and the mathematical model for this problem
Abd Al Kareem I Sheet, Nadia Adeel Saeed
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Using Interpolation for Generating Input Data for the Gross Domestic Product Monte Carlo Simulation
Beneficium, 2023 Input modelling is a complex task within the Monte Carlo simulation, especially when the systems and processes under investigation reveal the non-linear behavior of several interdependent variables.
Alexei M. Botchkarev
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Monte Carlo simulation of quantum computation [PDF]
Mathematics and Computers in Simulation, 1998 The many-body dynamics of a quantum computer can be reduced to the time evolution of non-interacting quantum bits in auxiliary fields by use of the Hubbard-Stratonovich representation of two-bit quantum gates in terms of one-bit gates. This makes it possible to perform the stochastic simulation of a quantum algorithm, based on the Monte Carlo ...
Cerf, Nicolas, Koonin, S. E.
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E-Jurnal Matematika, 2017 Contract options are the most important part of an investment strategy. An option is a contract that entitles the owner or holder to sell an asset on a designated maturity date.
DEWA AYU AGUNG PUTRI RATNASARI +2 more
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Convergence of Monte Carlo simulations to equilibrium [PDF]
Physical Review E, 2001 4 pages.
Narayan, Onuttom, Young, A. P.
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Implementing a Simulation Study Using Multiple Software Packages for Structural Equation Modeling
SAGE Open, 2015 A Monte Carlo simulation study is an essential tool for evaluating the behavior of various quantitative methods including structural equation modeling (SEM) under various conditions.
Sunbok Lee
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Classical and Quantum Dynamics in Condensed Phase Simulations, 1990 Monte Carlo simulation techniques are discussed, with special emphasis on those technical aspects that are important for the simulation of dense liquids and solids. In these notes, the Metropolis sampling scheme is introduced as a special case of importance sampling.
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MONTE CARLO SIMULATION OF BOSON LATTICES [PDF]
Recent Progress in Many-Body Theories, 2006 Boson lattices are theoretically well described by the Hubbard model. The basic model and its variants can be effectively simulated using Monte Carlo techniques. We describe two newly developed approaches, the Stochastic Series Expansion (SSE) with directed loop updates and continuous–time Diffusion Monte Carlo (CTDMC).
Apaja, Vesa, Syljuåsen, Olav F.
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Monte Carlo-Based Reliability Estimation Methods for Power Devices in Power Electronics Systems
IEEE Open Journal of Power Electronics, 2021 Monte Carlo simulation has been widely used for reliability assessment of power electronic systems. In this approach, multiple simulations are carried out during the lifetime estimation of the components in power converter, e.g., power devices, where the
M. Novak +2 more
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International Journal of Antennas and Propagation, 2020 The performance of the conventional beamforming for angle-of-arrival (AOA) estimation algorithm under measurement uncertainty is analyzed. Gaussian random variables are used for modeling measurement noises.
Eun-Kyung Lee, Joon-Ho Lee
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