Author : Thomas Maindl
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781987487374
Total Pages : 90 pages
Book Rating : 4.4/5 (873 download)
Book Synopsis Introduction to Cubic Spline Interpolation with Examples in Python by : Thomas Maindl
Download or read book Introduction to Cubic Spline Interpolation with Examples in Python written by Thomas Maindl and published by Createspace Independent Publishing Platform. This book was released on 2018-04-09 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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(R)' Falcon(R) 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