Recent Advances in Monte Carlo Methods
Overview & Synopsis
Monte Carlo methods, or Monte Carlo experiments, are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. This book provides a comprehensive overview of these methods, discussing their fundamental aspects and their applications in solving a large array of problems. Recent Advances in Monte Carlo Methods is a useful reference for scholars, researchers, and students in pure and applied mathematics, physical sciences, engineering and technology, computer science, numerical analysis, scientific computing, and the general sciences.
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Document Information
| Document Title | Recent Advances in Monte Carlo Methods |
|---|---|
| Author / Organization | DOAB Contributor |
| Subject & Discipline | Algorithms and data structures |
| Categories | Open Access Books |
| Publication Year | 2024 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
Directory of Open Access Books
(www.doabooks.org)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-126703 |
| Original Source Link | Visit Source Page on www.doabooks.org » |