Ebook: Introduction to Cubic Spline Interpolation with Examples in Python

This textbook will enable you to
- discuss polynomial and spline interpolation
- explain why using splines is a good method for interpolating data
- construct cubic interpolating splines for your own projects

It is a self-contained course for students who wish to learn about interpolating cubic splines and for lecturers who seek inspiration for designing a spline interpolation module.

The book’s innovative concept combines
- a slide-based lecture with textual notes
- a thorough introduction to the mathematical formalism
- exercises
- a "rocket science" project that implements constructing interpolating splines in Python for answering questions about the velocity, g-force, and covered distance after the first launch of SpaceX®’ Falcon® Heavy

Target group:
STEM (science, technology, engineering, and math) students and lecturers at colleges and universities

Contents:

• Preface
• 1 Cubic spline interpolation
• 2 Mini-script for constructing cubic splines
• 3 Spline exercises
• 4 The rocket launch project
• 5 Closing remarks
• Appendix A notebook for periodic cubic splines
• Index