| Introduction to Cubic Spline Interpolation with Examples in Python Contributor(s): Maindl, Thomas I. (Author) |
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ISBN: 1987487370 ISBN-13: 9781987487374 Publisher: Createspace Independent Publishing Platform OUR PRICE: $36.96 Product Type: Paperback Published: April 2018 |
| Additional Information |
| BISAC Categories: - Mathematics | Applied |
| Physical Information: 0.23" H x 7.01" W x 10" (0.51 lbs) 90 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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 |