Theory, Application, and Implementation of Monte Carlo Method in Science and Technology
The Monte Carlo method is a numerical technique to model the probability of all possible outcomes in a process that cannot easily be predicted due to the interference of random variables. It is a technique used to understand the impact of risk, uncertainty, and ambiguity in forecasting models. Howev...
সংরক্ষণ করুন:
| বিন্যাস: | Online |
|---|---|
| ভাষা: | ইংরেজি |
| প্রকাশিত: |
IntechOpen
2021
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | ONIX_20210420_9781789855463_2519 |
| ট্যাগগুলো: |
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| _version_ | 1869514443081121792 |
|---|---|
| collection | Directory of Open Access Books |
| description | The Monte Carlo method is a numerical technique to model the probability of all possible outcomes in a process that cannot easily be predicted due to the interference of random variables. It is a technique used to understand the impact of risk, uncertainty, and ambiguity in forecasting models. However, this technique is complicated by the amount of computer time required to achieve sufficient precision in the simulations and evaluate their accuracy. This book discusses the general principles of the Monte Carlo method with an emphasis on techniques to decrease simulation time and increase accuracy. |
| format | Online |
| id | doab-20.500.12854ir-67160 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-671602024-04-14T10:28:11Z Theory, Application, and Implementation of Monte Carlo Method in Science and Technology Saidi Bidokhti, Pooneh Computer modelling & simulation thema EDItEUR::U Computing and Information Technology::UY Computer science::UYM Computer modelling and simulation The Monte Carlo method is a numerical technique to model the probability of all possible outcomes in a process that cannot easily be predicted due to the interference of random variables. It is a technique used to understand the impact of risk, uncertainty, and ambiguity in forecasting models. However, this technique is complicated by the amount of computer time required to achieve sufficient precision in the simulations and evaluate their accuracy. This book discusses the general principles of the Monte Carlo method with an emphasis on techniques to decrease simulation time and increase accuracy. 2021-04-20T16:04:59Z 2021-04-20T16:04:59Z 2019 book ONIX_20210420_9781789855463_2519 9781789855463 9781789855456 9781839681523 https://directory.doabooks.org/handle/20.500.12854/67160 eng image/jpeg n/a https://www.intechopen.com/books https://mts.intechopen.com/storage/books/8190/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/intechopen.78141 10.5772/intechopen.78141 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9781789855463 9781789855456 9781839681523 IntechOpen 188 open access |
| spellingShingle | Computer modelling & simulation thema EDItEUR::U Computing and Information Technology::UY Computer science::UYM Computer modelling and simulation Theory, Application, and Implementation of Monte Carlo Method in Science and Technology |
| title | Theory, Application, and Implementation of Monte Carlo Method in Science and Technology |
| title_full | Theory, Application, and Implementation of Monte Carlo Method in Science and Technology |
| title_fullStr | Theory, Application, and Implementation of Monte Carlo Method in Science and Technology |
| title_full_unstemmed | Theory, Application, and Implementation of Monte Carlo Method in Science and Technology |
| title_short | Theory, Application, and Implementation of Monte Carlo Method in Science and Technology |
| title_sort | theory application and implementation of monte carlo method in science and technology |
| topic | Computer modelling & simulation thema EDItEUR::U Computing and Information Technology::UY Computer science::UYM Computer modelling and simulation |
| topic_facet | Computer modelling & simulation thema EDItEUR::U Computing and Information Technology::UY Computer science::UYM Computer modelling and simulation |
| url | ONIX_20210420_9781789855463_2519 |