Results 51 to 60 of about 2,521,686 (170)

Distribución de la tasa de de dosis alrededor de la semialla de 125I modelo 6711, en función de la longitud de su cilindro de plata

Momento, 2002
Se aplica el método de Monte Carlo para encontrar las distribuciones de tasas de dosis alrededor de semillas de 125I modelo 6711 cuyos cilindros de plata tienen las siguientes longitudes:0.276 cm, 0.288 cm, 0.300 cm, 0.312 cm y 0.324 cm.
Ubaldo Neiro, Luis G. Chica Giraldo, Didier Paul   +2 more
doaj  

Método de Monte-Carlo

, 2008
Aproxima integrales de una y dos variables en recintos rectangulares mediante el método de Monte-Carlo. Va aumentando progresivamente el número de nodos de la cuadratura.
Jordan-Lluch, Cristina, Torregrosa Sánchez, Juan Ramón   +1 more
core  

Partícula em um poço de potencial infinito e o método variacional de Monte Carlo

Revista Brasileira de Ensino de Física
Neste trabalho, apresentamos o método variacional de Monte Carlo, aplicado a um sistema de uma partícula confinada em um poço de potencial infinito. A amostragem da densidade de probabilidade é feita utilizando-se o algoritmo de Metropolis. O objetivo do
Rodrigo Canabrava, Silvio A. Vitiello
doaj   +1 more source

A spatially explicit assessment of factors shaping attitudes toward African elephant conservation

Conservation Biology, Volume 39, Issue 1, February 2025.
Abstract Conservation plans that explicitly account for the social landscape where people and wildlife co‐occur can yield more effective and equitable conservation practices and outcomes. Yet, social data remain underutilized, often because social data are treated as aspatial or are analyzed with approaches that do not quantify uncertainty or address ...
Sarah L. Carroll, Susanne M. Vogel, Purity Nititi Taek, Clevers Tumuti, Divya Vasudev, Varun R. Goswami, Jake Wall, Stephen Mwiu, Robin S. Reid, Jonathan Salerno   +9 more
wiley   +1 more source

Smart Monte Carlo: Various tricks using Malliavin calculus [PDF]

Current Monte Carlo pricing engines may face computational challenge for the Greeks, because of not only their time consumption but also their poor convergence when using a finite difference estimate with a brute force perturbation.
Eric Benhamou
core  

Monotonicity properties of the Monte Carlo EM algorithm and connections with simulated likelihood [PDF]

, 2007
In this note we show that the Monte Carlo EM algorithm, appropriately constructed with importance re-weighting, monotonically increases a corresponding simulated likelihood.
Sermaidis, Giorgos, Papaspiliopoulos, Omiros   +1 more
core  

Some comments on Monte Carlo and molecular dynamics methods [PDF]

, 2013
We highlight some links between molecular dynamics and Monte Carlo algorithms used to simulate condensed matter systems.
Quigley, David, Allen, Michael P., Allen, M. P.   +2 more
core   +1 more source

Game target‐group: Implementing inhomogeneous Poisson point process to estimate animal abundance from harvest data

Methods in Ecology and Evolution, Volume 16, Issue 1, Page 170-182, January 2025.
Abstract Harvest data have the potential to be used as an abundance index due to its widespread availability and long‐term collection across large geographical areas. However, challenges such as the lack of hunting effort information, varying data resolutions and reporting biases hinder its direct use as an abundance proxy.
Javier Fernández‐López, Pelayo Acevedo, Sonia Illanas, Jose Antonio Blanco‐Aguiar, Joaquín Vicente, Olivier Gimenez   +5 more
wiley   +1 more source

Monte Carlo Option Pricing

Lecturas de Economía, 2004
El método Monte Carlo se aplica a varios casos de valoración de opciones financieras. El método genera una buena aproximación al comparar su precisión con la de otros métodos numéricos.
Cecilia Maya
doaj  

SMCTC: Sequential Monte Carlo in C++ [PDF]

Sequential Monte Carlo methods are a very general class of Monte Carlo methods for sampling from sequences of distributions. Simple examples of these algorithms are used very widely in the tracking and signal processing literature.
Adam M. Johansen
core