| 书目名称 | Monte Carlo Simulations Using Microsoft EXCEL® |
| 编辑 | Shinil Cho |
| 视频video | |
| 概述 | Includes a step-by-step guide to Monte Carlo simulations using Microsoft EXCEL for the analysis and visualization.Provides fundamental knowledge and techniques of simulation physics, which can be exte |
| 丛书名称 | Synthesis Lectures on Mathematics & Statistics |
| 图书封面 |  |
| 描述 | This book offers step-by-step descriptions of various random systems and explores the world of computer simulations. In addition, this book offers a working introduction to those who want to learn how to create and run Monte Carlo simulations. Monte Carlo simulation has been a powerful computational tool for physics models, and when combined with the programming language Excel, this book is a valuable resource for readers who wish to acquire knowledge that can be applied to more complex systems. Visualization of the simulation results via the Visual Basic built in Microsoft EXCEL is presented as the first step towards the subject. Prior experience with the Excel add-in VBA is kept to a minimum. In addition, a chapter on quantum optimization simulation utilizing Python is added to explore the quantum computation. Readers will gain a fundamental knowledge and techniques of simulation physics, which can be extended to STEM projects and other research projects. |
| 出版日期 | Book 2023 |
| 关键词 | Computational Physics; Monte Carlo Simulation; Quantum Monte Carlo Method; Random Systems; Random Walk; D |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-33886-1 |
| isbn_softcover | 978-3-031-33888-5 |
| isbn_ebook | 978-3-031-33886-1Series ISSN 1938-1743 Series E-ISSN 1938-1751 |
| issn_series | 1938-1743 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 17:49:05
