Примери за използване на Monte carlo method на Английски и техните преводи на Български
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Monte Carlo method.
What is Monte Carlo method?
The Lopez simulation is based on the Monte Carlo method.
The monte carlo methods.
One of the most commonly used methods for this type of calculation is the Monte Carlo method.
What is the Monte Carlo Method?
Monte Carlo method applied to approximating the value of π.
That's what Monte Carlo methods do.
Monte Carlo method is essentially simple in its approach.
This is where Monte Carlo methods take over.
Monte Carlo methods vary, but tend to follow a particular pattern.
Enrico Fermi first experimented with the Monte Carlo method while studying neutron diffusion, but did not publish anything on it.
Monte Carlo methods are typically used to generate these users and their states.
Given that the ratio of their areas is π/4,the value of π can be approximated using a Monte Carlo method.
The Monte Carlo method is….
Given that the circle and the square have a ratio of areas that is π/4,the value of π can be approximated using a Monte Carlo method:[4].
That's what Monte Carlo methods are all about.
Monte Carlo methods provide a way out of this exponential time-increase.
The method is an adaptation of the Metropolis- Hastings algorithm, a Monte Carlo method to generate sample states of a thermodynamic system, published by N. Metropolis et al. in 1953.
Monte Carlo methods provide a way out of this exponential increase in computation time.
For example, In microelectronics engineering, Monte Carlo methods are applied to analyze correlated and uncorrelated variations in analog and digital integrated circuits.
Monte Carlo methods are also used in the ensemble models that form the basis of modern weather forecasting.
The modern version of the Markov Chain Monte Carlo method was invented in the late 1940s by Stanislaw Ulam, while he was working on nuclear weapons projects at the Los Alamos National Laboratory.
Monte Carlo methods are developed into a technique named Monte-Carlo tree search that's helpful for searching for the ideal move in a game.
Really Monte Carlo method is a general framework.
Monte Carlo methods were central to the simulations required for the Manhattan Project, though were severely limited by the computational tools at the time.
The modern version of Monte Carlo method was invented in the late 1940s by Stanislaw Ulam while working on nukes at Los Alamos.
Monte Carlo method: Pouring out a box of coins on a table, and then computing the ratio of coins that land heads versus tails is a Monte Carlo method of determining the behavior of repeated coin tosses, but it is not a simulation.
The modern version of the Monte Carlo method was invented in the late 1940s during work on nuclear weapons projects at the Los Alamos National Laboratory.
The modern version of the Monte Carlo method was invented in the late 1940s by Stanislaw Ulam, while he was working on nuclear weapons projects at the Los Alamos National Labs.