Introduction to Cubic Spline Interpolation with Examples in Python - Brossura

Maindl, Thomas I.

Brossura

ISBN 10: 1987487370 ISBN 13: 9781987487374

Casa editrice: CreateSpace Independent Publishing Platform, 2018

Riassunto

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

Dettagli dell'edizione

• Editore: CreateSpace Independent Publishing Platform
• Data di pubblicazione: 2018
• Lingua: Inglese
• ISBN 10: 1987487370
• ISBN 13: 9781987487374
• Rilegatura: Copertina flessibile
• Numero di pagine: 90
• Contatto del produttore: Manufactured by Amazon on behalf of the author; https://www.amazon.it/hz/contact-us; ; c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy; Luxembourg; L-1855; Lussemburgo