Computational Mathematics: An introduction to Numerical Analysis and Scientific Computing with Python

This textbook provides a comprehensive introduction to computational mathematics and scientific computing, suitable for undergraduate and postgraduate courses. It covers practical and theoretical aspects, classical numerical methods, computer code, and modern applications in physics, engineering, and computer science.

Format: Hardback
Length: 508 pages
Publication date: 19 June 2023
Publisher: Taylor & Francis Ltd

This textbook is a thorough introduction to computational mathematics and scientific computing, designed for undergraduate and postgraduate courses. It covers both practical and theoretical aspects of the field, providing insights into classical numerical methods, computer code, and experiments in Python. Each chapter concludes with contemporary applications in physics, engineering, and computer science.

Key Features:

• No prior experience in Python is necessary.
• Simplified computer code is included for accelerated learning and skill development.
• Practical problems are provided for project assignments and distance learning.
• Both intuitive and rigorous approaches to modern scientific computing are presented.
• An introduction to neural networks and machine learning is included.

This textbook serves as a valuable resource for students seeking to gain a comprehensive understanding of computational mathematics and scientific computing. Its comprehensive coverage, practical examples, and modern applications make it an essential tool for anyone interested in advancing their knowledge in this field.

Weight: 1098g
Dimension: 185 x 262 x 33 (mm)
ISBN-13: 9781032262390