In each generation, scientists must redefine their fields: abstracting, simplifying and distilling the previous standard topics to make room for new advances and methods. Sethna's book takes this step for statistical mechanics - a field rooted in physics and chemistry whose ideas and methods are now central to information theory, complexity, and modern biology. Aimed at advanced undergraduates and early graduate students in all of these fields, Sethna limits his main presentation to the topics that future mathematicians and biologists, as well as physicists and chemists, will find fascinating and central to their work. The amazing breadth of the field is reflected in the author's large supply of carefully crafted exercises, each an introduction to a whole field of study: everything from chaos through information theory to life at the end of the universe.
評分
評分
評分
評分
好書。內容適閤入門。
评分好書。內容適閤入門。
评分好書。內容適閤入門。
评分不適閤初學者,介紹瞭很多應用,網上有免費電子版和部分計算機實驗討論跟程序
评分不適閤初學者,很多知識要從習題中獲得。之前久聞此書大名,但初讀一遍後的收獲比期望的要低一些。
本站所有內容均為互聯網搜索引擎提供的公開搜索信息,本站不存儲任何數據與內容,任何內容與數據均與本站無關,如有需要請聯繫相關搜索引擎包括但不限於百度,google,bing,sogou 等
© 2025 book.quotespace.org All Rights Reserved. 小美書屋 版权所有