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Book Reviews
SIAM Review ( IF 10.2 ) Pub Date : 2023-02-09 , DOI: 10.1137/23n97565x
Volker H. Schulz

SIAM Review, Volume 65, Issue 1, Page 319-328, February 2023.
Our section starts with Rob Kirby's featured review on the book Numerical Methods for Elliptic and Parabolic Partial Differential Equations, written by Peter Knabner and Lutz Angermann. Our reviewer finds several aspects in this book not similarly covered in other books and recommends that the reader of the review fill a bit of open bookshelf space with it. The section continues with three classical mathematical topics. David Simpson reviews the book on Scaling Laws in Dynamical Systems, by E. D. Leonel, and mentions several useful aspects in it. The book Cooperative Control of Multi-agent Systems: An Optimal and Robust Perspective, by Jianan Wang, Chunyan Wang, Ming Xin, Zhengtao Ding, and Jiayuan Shan, is reviewed by Marco Caponigro. He recommends this book to all readers with a background in control theory. Stochastic modeling aspects are discussed in the book Stochastic Partial Differential Equations: An Introduction, by Étienne Pardoux. Its reviewer, Kristin Kirchner, praises in particular its approach based on the variational formulation. The section is concluded by two books in the data science realm. Aretha Teckentrup reviews the book Mathematical Foundations for Data Analysis, by Jeff Phillips, and warns the strongly mathematically oriented reader of episodically increased heart rate because some formulations may lack the mathematical rigor that a mathematician is used to. The last book in our section is the second edition of Transformers for Natural Language Processing, by Denis Rothman. It is very positively reviewed by Christopher West, who remarks that this field is evolving so fast that this now only one-year-old book is already outdated, and thus a third edition is in need.


中文翻译:

书评

SIAM Review,第 65 卷,第 1 期,第 319-328 页,2023 年 2 月。
我们的部分从 Rob Kirby 对 Peter Knabner 和 Lutz Angermann 撰写的 Numerical Methods for Elliptic and Parabolic Partial Differential Equations 一书的专题评论开始。我们的审稿人发现这本书的几个方面在其他书中没有类似地涵盖,并建议评论的读者用它填充一些开放的书架空间。本节继续介绍三个经典数学主题。大卫·辛普森 (David Simpson) 评论了 ED Leonel 撰写的有关动态系统中的标度定律的书,并提到了其中几个有用的方面。多智能体系统的协同控制:最优和稳健的视角,作者:Jianan Wang、Chunyan Wang、Ming Xin、Zhenghetao Ding 和 Jiayuan Shan,由 Marco Caponigro 审阅。他向所有具有控制理论背景的读者推荐这本书。Étienne Pardoux 所著的《随机偏微分方程:简介》一书中讨论了随机建模方面。它的评论者 Kristin Kirchner 特别赞扬了它基于变分公式的方法。本节以数据科学领域的两本书结尾。Aretha Teckentrup 评论了 Jeff Phillips 所著的《数据分析的数学基础》一书,并警告以数学为导向的读者注意心率的偶发性增加,因为某些公式可能缺乏数学家惯用的数学严谨性。我们部分的最后一本书是丹尼斯·罗斯曼 (Denis Rothman) 撰写的《自然语言处理转换器》第二版。克里斯托弗·韦斯特 (Christopher West) 对它给予了非常积极的评价,他说这个领域发展如此之快,以至于这本只有一年历史的书已经过时了,
更新日期:2023-02-10
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