SIAM Review, Volume 64, Issue 2, Page 503-513, May 2022.
We start this section with Andreas Mang's in-depth featured review on the book Introduction to the Tools of Scientific Computing, written by Einar Smith. Seemingly the level of the book is somewhat more fundamental as it investigates the tools of the trade rather than its theoretical sophistication. We continue with aspects of scientific computing in Ekkehard Sachs's review of the book An Introduction to the Finite Element Method for Differential Equations, written by Mohammad Asadzadeh. Another important aspect of scientific computing is, of course, dimensional analysis, which is the topic of the third reviewed book. Richard Brown, in his review of Fundamentals of Dimensional Analysis: Theory and Applications in Metallurgy, by Alberto N. Conejo, recommends the book in particular for engineers in metallurgy. Following these are reviews of four more books loosely related to data science. Lectures on Optimal Transport, by Luigi Ambrosio, Elia Brué, and Daniele Semola, is reviewed by Matthew Thorpe, who recommends it as an introduction to the field with an emphasis on theory. Arvind K. Saibara reviews Nonnegative Matrix Factorization, written by Nicolas Gillis, and recommends it as a book which “manages to find a good balance of theory, algorithms, and applications.” The subsequent review on Hiroyuki Sato's Riemannian Optimization and Its Applications is written by the Ph.D. student Lena Sembach, who underlines the broad and timely overview on the field provided by the book. The section is concluded by a review of Daniela Calvetti and Erkki Somersalo's book Mathematics of Data Science---A Computational Approach to Clustering and Classification, which is highly recommended for inclusion in student projects.

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书评

SIAM 评论，第 64 卷，第 2 期，第 503-513 页，2022 年 5 月。
我们从 Andreas Mang 对 Einar Smith 撰写的《科学计算工具简介》一书的深入专题评论开始本节。看起来这本书的层次更为基础，因为它研究的是交易工具，而不是其理论复杂性。在 Ekkehard Sachs 对 Mohammad Asadzadeh 所写的《微分方程的有限元方法简介》一书的评论中，我们继续讨论科学计算的各个方面。科学计算的另一个重要方面当然是维度分析，这是第三本书的主题。理查德·布朗在他对尺寸分析基础：冶金理论和应用的评论中，由 Alberto N. Conejo 撰写，特别推荐这本书给冶金工程师。以下是对另外四本与数据科学松散相关的书籍的评论。由 Luigi Ambrosio、Elia Brué 和 Daniele Semola 撰写的关于最优运输的讲座由 Matthew Thorpe 进行评论，他推荐将其作为对该领域的介绍，并强调理论。Arvind K. Saibara 评论了 Nicolas Gillis 所写的 Nonnegative Matrix Factorization，并将其推荐为“设法在理论、算法和应用程序之间找到良好平衡”的书。随后对 Hiroyuki Sato 的黎曼优化及其应用的评论由博士撰写。学生 Lena Sembach 强调了本书提供的对该领域的广泛而及时的概述。该部分以对 Daniela Calvetti 和 Erkki Somersalo 的《数据科学数学——聚类和分类的计算方法》一书的回顾结束，