Results 61 to 70 of about 1,419,392 (377)

PENGGUNAAN SIMULASI MONTE CARLO DALAM ESTIMASI VALUE AT RISK (VaR) PORTOFOLIO YANG DIBENTUK DARI INDEKS HARGA SAHAM MULTINASIONAL

E-Jurnal Matematika, 2022
Investment is buying an asset that is expected in the future can be resold and get a high profit value. There are two factors that must be considered when you want to invest in stocks, namely the rate of return on stocks and risk factors.
NABILA NUR JANNAH, KOMANG DHARMAWAN, LUH PUTU IDA HARINI   +2 more
doaj   +1 more source

Quasi-Monte Carlo methods applied to tau-leaping in stochastic biological systems [PDF]

Bull. Math. Biol. (2019) 81: 2931, 2018
Quasi-Monte Carlo methods have proven to be effective extensions of traditional Monte Carlo methods in, amongst others, problems of quadrature and the sample path simulation of stochastic differential equations. By replacing the random number input stream in a simulation procedure by a low-discrepancy number input stream, variance reductions of several
arxiv   +1 more source

Longitudinal development of extensive air showers: hybrid code SENECA and full Monte Carlo

, 2004
New experiments, exploring the ultra-high energy tail of the cosmic ray spectrum with unprecedented detail, are exerting a severe pressure on extensive air hower modeling. Detailed fast codes are in need in order to extract and understand the richness of
Abraham, Abu-Zayyad, Alvarez-Muñiz, Alvarez-Muñiz, Baltrusaitis, Baltrusaitis, Barbosa, Bird, Blumer, Bossard, Catalano, Chiba, Drescher, Engel, Gustavo Medina-Tanco, Hayashida, Homola, Jeferson A. Ortiz, Kalmykov, Kalmykov, Lawrence, Linsley, Linsley, Risse, Song, Vitor de Souza   +25 more
core   +1 more source

Variance in System Dynamics and Agent Based Modelling Using the SIR Model of Infectious Disease [PDF]

, 2012
Classical deterministic simulations of epidemiological processes, such as those based on System Dynamics, produce a single result based on a fixed set of input parameters with no variance between simulations. Input parameters are subsequently modified on
Ahmed, Aslam, Aickelin, Uwe, Greensmith, Julie   +2 more
core   +4 more sources

Optimization of target grouping in distributive stereotactic radiosurgery using the excel evolutionary solver

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Distributive stereotactic radiosurgery (dSRS) is a form of fractionation where groups of metastases are treated with a full single‐fraction dose on different days. The challenge with dSRS is determining optimal target groupings to maximize the distance between targets treated in the same fraction.
Chester Ramsey, Samuel Gallemore, Joseph Bowling   +2 more
wiley   +1 more source

High Ener High Energy Appr gy Approximation for Monte Carlo E ximation for Monte Carlo Event gener ent generator

Eurasian Journal of Physics and Functional Materials
Analysis of the nuclear physics experiment often requires Monte Carlo simulation of the detector setup. Such kind of simulations often requires a quite advanced model of nuclear interaction.
A. N. Ismailova , Yu. L. Parfenova , P. G. Sharov, D. M. Janseitov   +3 more
doaj   +1 more source

Monte-Carlo Simulation of Γ-ray and Fast Neutron Radiolysis of Liquid Water and 0.4 M H2SO4 Solutions at Temperatures Up to 325oC [PDF]

, 2011
Monte-Carlo simulations were used to study the radiolysis of liquid water at 25-325oC when subjected to low linear energy transfer (LET) of 60Co γ-ray radiation and fast neutrons of 2 and 0.8 MeV.
Gerin, J. (JPJ), Jintana, M. (M), Sunaryo, G. R. (G)   +2 more
core  

Monte Carlo simulation of ice models

, 1997
We propose a number of Monte Carlo algorithms for the simulation of ice models and compare their efficiency. One of them, a cluster algorithm for the equivalent three colour model, appears to have a dynamic exponent close to zero, making it particularly ...
[H. G. Evertz, A. Rahman, A. Yanagawa, E. Carlon, E. H. Lieb, E. H. Lieb, E. H. Lieb, F. Rys, G. T. Barkema, H. J. F. Knops, H. Saleur, J. C. Slater, J. D. Bernal, J. Kondev, J.-S. Wang, L. Pauling, M. E. J. Newman, M. P. Nightingale, N. Bjerrum, N. Bjerrum, P. V. Hobbs, R. H. Swendsen, R. J. Baxter, R. Raghavan, U. Wolff   +24 more
core   +3 more sources

Commissioning of a motion management system for a 1.5T Elekta Unity MR‐Linac: A single institution experience

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This work describes a single institution experience of commissioning a real‐time target tracking and beam control system, known as comprehensive motion management, for a 1.5 T Elekta MR‐Linac. Methods Anatomical tracking and radiation beam control were tested using the MRI4D Quasar motion phantom.
Blake R Smith, Joel St‐Aubin, Daniel E. Hyer   +2 more
wiley   +1 more source

ECONOMIC RISKS FOR PROJECT MANAGEMENT – A MONTE CARLO SIMULATION APPROACH

USV Annals of Economics and Public Administration, 2023
Monte Carlo simulation is an approach that includes several simulation techniques in which the analysis of the real phenomenon is replaced by the analysis of an artificial phenomenon, described by a model, by solving it generating for variables, random
Paul PAŞCU
doaj