Numerical Analysis and Scientific Computation

A single-term numerical analysis text with a modern scientific computing flavor is designed for students of science and engineering with practical needs in mind. It covers mathematical methods, parallel implementations, and practical matters, with optional MATLAB subsections for self-taught tutorials and numerical experiments.

Format: Hardback
Length: 564 pages
Publication date: 12 May 2022
Publisher: Taylor & Francis Ltd

This comprehensive textbook provides an introductory single-term numerical analysis course with a modern scientific computing flavor. It offers an immediate immersion in numerical methods, featuring an up-to-date approach to computational matrix algebra and an emphasis on methods used in actual software packages. Throughout, hardware concerns are highlighted to demonstrate how they can impact the choice of algorithm. The text strikes a balance between mathematical rigor and practical application, making it suitable for students of numerical analysis as well as science and engineering students with practical needs in mind.

The standard methods of numerical analysis are derived rigorously, with careful explanations and numerous proven results. However, the book goes beyond theoretical discussions and frequently addresses practical topics such as parallel implementations, the Basic Linear Algebra Subroutines (BLAS), half-to-quadruple-precision computing, and other practical matters. Prior computing experience is not assumed, as optional MATLAB subsections for each section provide a comprehensive self-taught tutorial. Additionally, the text can be used with other computing environments.

In this new edition, the book has been thoroughly updated to reflect the latest developments in the field. Parallel approaches, emerging hardware capabilities, computational modeling, and data science have been given greater weight, reflecting the increasing importance of these areas in modern scientific computing.

Overall, this textbook is an invaluable resource for students seeking to gain a solid foundation in numerical analysis with a modern scientific computing perspective. It provides a comprehensive coverage of the subject matter, while also emphasizing practical applications and the impact of hardware considerations. Whether you are a student of mathematics, physics, engineering, or computer science, this book will help you develop the skills and knowledge necessary to solve complex numerical problems.

Weight: 1224g
Dimension: 185 x 261 x 39 (mm)
ISBN-13: 9780367486860
Edition number: 2 ed