Vorticity, Statistical Mechanics, and Monte Carlo Simulation 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

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Lim, Chjan/ Nebus, Joseph 作者

Springer Verlag

譯者

2006-11 出版日期

290 頁數

89.95 價格

HRD

叢書系列

9780387350752 圖書編碼

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發表於2024-09-22

Vorticity, Statistical Mechanics, and Monte Carlo Simulation 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Vorticity, Statistical Mechanics, and Monte Carlo Simulation 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Vorticity, Statistical Mechanics, and Monte Carlo Simulation 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

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Vorticity, Statistical Mechanics, and Monte Carlo Simulation 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

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This book is drawn from across many active fields of mathematics and physics, and has connections to atmospheric dynamics, spherical codes, graph theory, constrained optimization problems, Markov Chains, and Monte Carlo methods. It addresses how to access interesting, original, and publishable research in statistical modeling of large-scale flows and several related fields. The authors f this book explicitly reach around the major branches of mathematics and physics, showing how the use of a few straightforward approaches can create a cornucopia of intriguing questions and the tools to answer them. In reading this book, the reader will learn how to research a topic and how to understand statistical mechanics treatments of fluid dynamics. Of particular interest should be the application of Monte Carlo methods to problems like dispersal of points on the sphere, the phase transitions of in viscid fluid flows in models that increasingly approach the conditions of actual planetary atmospheres, and the treatment of negative absolute temperatures and the effects these extremely high-energy states have on fluid flows. Special attention is given to spherical models as well.

This book is intended for the upper-level undergraduate or the beginning graduate level courses of mathematics and physics. It will also be of interest to readers interested in statistical mechanics methods applied to fluid mechanics problems. Readers will gain an understanding of how to synthesize new mathematics by applying familiar tools in new ways, and develop new tools to fit particular applications.

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