CreateSpace IPP, 2018. — 89 p.
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
Cubic spline interpolation
Mini-script for constructing cubic splines
Spline exercises
The rocket launch project
Closing remarks
A notebook for periodic cubic splines