Definition of Monte Carlo method in English:

Monte Carlo method

nounmɒntɪˈkɑːləʊ

Statistics

A technique in which a large quantity of randomly generated numbers are studied using a probabilistic model to find an approximate solution to a numerical problem that would be difficult to solve by other methods.
〔统计〕蒙特卡洛法，统计试验法
Example sentencesExamples
- To some extent, our results may be attributable to the relatively uniform distributions created by our Monte Carlo method.
- The validity of the present method was examined by using computer simulations of molecular evolution in which any branch patterns could be created by using the Monte Carlo method with the weight of the transition probability matrix.
- In a Monte Carlo method, the quantity to be calculated is interpreted in a stochastic model and, subsequently, estimated by random sampling.
- New techniques such as the Monte Carlo method provided numerical simulations when analytical solutions were not available.

Origin

1940s: named after Monte Carlo (see Monte Carlo), a resort famous for its gambling casino.

Definition of Monte Carlo method in US English:

Monte Carlo method

noun

Statistics

A technique in which a large quantity of randomly generated numbers are studied using a probabilistic model to find an approximate solution to a numerical problem that would be difficult to solve by other methods.
〔统计〕蒙特卡洛法，统计试验法
Example sentencesExamples
- The validity of the present method was examined by using computer simulations of molecular evolution in which any branch patterns could be created by using the Monte Carlo method with the weight of the transition probability matrix.
- New techniques such as the Monte Carlo method provided numerical simulations when analytical solutions were not available.
- To some extent, our results may be attributable to the relatively uniform distributions created by our Monte Carlo method.
- In a Monte Carlo method, the quantity to be calculated is interpreted in a stochastic model and, subsequently, estimated by random sampling.

Origin

1940s: named after Monte Carlo (see Monte Carlo), a resort famous for its gambling casino.

单词	Monte Carlo method
释义	Definition of Monte Carlo method in English: Monte Carlo method nounmɒntɪˈkɑːləʊ Statistics A technique in which a large quantity of randomly generated numbers are studied using a probabilistic model to find an approximate solution to a numerical problem that would be difficult to solve by other methods. 〔统计〕蒙特卡洛法，统计试验法 Example sentencesExamples To some extent, our results may be attributable to the relatively uniform distributions created by our Monte Carlo method. The validity of the present method was examined by using computer simulations of molecular evolution in which any branch patterns could be created by using the Monte Carlo method with the weight of the transition probability matrix. In a Monte Carlo method, the quantity to be calculated is interpreted in a stochastic model and, subsequently, estimated by random sampling. New techniques such as the Monte Carlo method provided numerical simulations when analytical solutions were not available. Origin 1940s: named after Monte Carlo (see Monte Carlo), a resort famous for its gambling casino. Definition of Monte Carlo method in US English: Monte Carlo method noun Statistics A technique in which a large quantity of randomly generated numbers are studied using a probabilistic model to find an approximate solution to a numerical problem that would be difficult to solve by other methods. 〔统计〕蒙特卡洛法，统计试验法 Example sentencesExamples The validity of the present method was examined by using computer simulations of molecular evolution in which any branch patterns could be created by using the Monte Carlo method with the weight of the transition probability matrix. New techniques such as the Monte Carlo method provided numerical simulations when analytical solutions were not available. To some extent, our results may be attributable to the relatively uniform distributions created by our Monte Carlo method. In a Monte Carlo method, the quantity to be calculated is interpreted in a stochastic model and, subsequently, estimated by random sampling. Origin 1940s: named after Monte Carlo (see Monte Carlo), a resort famous for its gambling casino.
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