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Titlebook: Explorations in Monte Carlo Methods; Ronald W. Shonkwiler,Franklin Mendivil Textbook 2024Latest edition The Editor(s) (if applicable) and

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發(fā)表于 2025-3-21 18:09:38 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Explorations in Monte Carlo Methods
編輯Ronald W. Shonkwiler,Franklin Mendivil
視頻videohttp://file.papertrans.cn/321/320206/320206.mp4
概述Programming exercises are integrated throughout the text as the primary vehicle for learning the material.Hands-on approach is used via realistic problems demonstrated with examples and (Python) numer
叢書名稱Undergraduate Texts in Mathematics
圖書封面Titlebook: Explorations in Monte Carlo Methods;  Ronald W. Shonkwiler,Franklin Mendivil Textbook 2024Latest edition The Editor(s) (if applicable) and
描述.Monte Carlo Methods are among the most used, and useful, computational?tools available today. They provide efficient and practical algorithms to solve a wide range of scientific and engineering problems in dozens of areas many of which are covered in this text. These include simulation, optimization, finance, statistical mechanics, birth and death processes, Bayesian inference, quadrature, gambling systems and more..This text is for students of engineering, science, economics and?mathematics who want to learn about Monte Carlo methods but have?only a passing acquaintance with probability theory. The probability needed to understand the material is developed within the text itself in a direct manner using Monte Carlo experiments for reinforcement. There is a prerequisite of at least one year of calculus and a semester of matrix algebra..Each new idea is carefully motivated by a realistic problem, thus?leading to insights into probability theory via examples and numerical?simulations. Programming exercises are integrated throughout the text as the primary vehicle for learning the material. All examples in the text are coded in Python as a representative language; the logic is suffic
出版日期Textbook 2024Latest edition
關(guān)鍵詞Markov chain; Markov chain Monte Carlo; Matlab; Monte Carlo; Monte Carlo method; Probability distribution
版次2
doihttps://doi.org/10.1007/978-3-031-55964-8
isbn_softcover978-3-031-55966-2
isbn_ebook978-3-031-55964-8Series ISSN 0172-6056 Series E-ISSN 2197-5604
issn_series 0172-6056
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Spezielle Anwendungen des Markenbegriffs,theory that we will need throughout the book. This includes events, random variables both discrete and continuous, densities and cumulative distribution functions, expected values, the mean and variance of a distribution, conditional probability, and joint distributions.
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Empirische Untersuchung der Markenkompetenz,iterion for risk, and Kinetic Monte Carlo. An in depth study of the random walk for analyzing electrical networks leads to developing formulas for calculating the hitting time to a goal for a Markov Chain and its relationship with the fundamental matrix of the chain and to reversible Markov Chains.
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978-3-031-55966-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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