Introduction to Scientific Computing and Data Analysis

This textbook provides an introduction to numerical computing and its applications in science and engineering, with an emphasis on problem-solving and mathematical theory. It includes computational examples and codes available on GitHub.

Format: Hardback
Length: 554 pages
Publication date: 11 August 2023
Publisher: Springer International Publishing AG

This comprehensive textbook serves as an invaluable introduction to numerical computing and its diverse applications in the fields of science and engineering. It encompasses a wide range of topics typically covered in an introductory course, as well as those that arise in data analysis. Within this comprehensive framework, the text delves into optimization and regression-based methods utilizing singular value decomposition, providing valuable insights into problem-solving techniques.

The primary focus of the book is on practical problem-solving, with an abundance of exercises designed to reinforce understanding and application in engineering and science. Moreover, the text emphasizes the significance of the mathematical theory underlying the methods, enabling readers to comprehend both the mechanics of the approach and the factors that influence computational errors.

To enhance accessibility and facilitate learning, the codes used for most of the computational examples in the text are readily available on GitHub. This resource empowers students to explore and experiment with the techniques discussed in the book text, further enhancing their grasp of numerical computing.

In addition to its core content, this new edition of the textbook has been carefully revised to include material that is essential for an upper-division course in computational linear algebra. This expansion ensures that students have a comprehensive understanding of the subject matter, equipping them with the tools and knowledge necessary to excel in advanced computational applications.

Overall, this textbook is an indispensable resource for students, researchers, and practitioners seeking to delve into the world of numerical computing and its profound impact on scientific and engineering endeavors. Its comprehensive coverage, practical approach, and emphasis on mathematical theory make it an essential tool for anyone seeking to advance their understanding of this rapidly evolving field.

Dimension: 235 x 155 (mm)
ISBN-13: 9783031224294
Edition number: 2nd ed. 2023