Add to ORKGA collection of resources (simulations and worksheets) focusing on Monte Carlo Integration techniques. These materials are suited for guided-inquiry instruction at the senior undergraduate or honours level
In this paper, we introduce the Tootsie Pop Algorithm and explore its use in different contexts. It ...
Monte Carlo in Monaco is given to the theory for mathematics, whose simulation process involves gene...
A comprehensive overview of Monte Carlo simulation that explores the latest topics, techniques, and ...
A collection of resources (simulations and worksheets) focusing on basic Monte Carlo techniques. Th...
Includes bibliographical references.In the world of mathematics, one of the more fundamental ideas t...
Numerical integration techniques, such as Trapezoidal and Simpson's rules are commonly used for appr...
Monte Carlo computer programming is becoming increasingly popular to those who use it, due to the ea...
A simulation model is developed for estimating any quantity defined as a multiple integral with cons...
Models which are constructed to represent the uncertainty arising in engineered systems can often be...
ISBN:978-2-7598-1032-1International audienceBayesian inference often requires integrating some funct...
A simulation model is developed for estimating any quantity defined as a multiple integral with cons...
We introduce Monte Carlo simulations for estimating areas by playing a game of darts . We also intr...
An explosive advance of numerical analysis techniques in recent years has paralleled the rapid incre...
his paper will trace the history and development of a useful stochastic method for approximating cer...
Many physical phenomena can be modeled using Monte Carlo simulation (MCS) because it is a powerful t...
In this paper, we introduce the Tootsie Pop Algorithm and explore its use in different contexts. It ...
Monte Carlo in Monaco is given to the theory for mathematics, whose simulation process involves gene...
A comprehensive overview of Monte Carlo simulation that explores the latest topics, techniques, and ...
A collection of resources (simulations and worksheets) focusing on basic Monte Carlo techniques. Th...
Includes bibliographical references.In the world of mathematics, one of the more fundamental ideas t...
Numerical integration techniques, such as Trapezoidal and Simpson's rules are commonly used for appr...
Monte Carlo computer programming is becoming increasingly popular to those who use it, due to the ea...
A simulation model is developed for estimating any quantity defined as a multiple integral with cons...
Models which are constructed to represent the uncertainty arising in engineered systems can often be...
ISBN:978-2-7598-1032-1International audienceBayesian inference often requires integrating some funct...
A simulation model is developed for estimating any quantity defined as a multiple integral with cons...
We introduce Monte Carlo simulations for estimating areas by playing a game of darts . We also intr...
An explosive advance of numerical analysis techniques in recent years has paralleled the rapid incre...
his paper will trace the history and development of a useful stochastic method for approximating cer...
Many physical phenomena can be modeled using Monte Carlo simulation (MCS) because it is a powerful t...
In this paper, we introduce the Tootsie Pop Algorithm and explore its use in different contexts. It ...
Monte Carlo in Monaco is given to the theory for mathematics, whose simulation process involves gene...
A comprehensive overview of Monte Carlo simulation that explores the latest topics, techniques, and ...