Introduction to Cubic Spline Interpolation with Examples in Python - Couverture souple

Maindl, Thomas I.

 
9781987487374: Introduction to Cubic Spline Interpolation with Examples in Python
Couverture souple
ISBN 10 : 1987487370 ISBN 13 : 9781987487374
Editeur : CreateSpace Independent Publishing Platform, 2018

Synopsis

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

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
CreateSpace Independent Publishing Platform
Date d'édition
2018
Langue
anglais
ISBN 10 
1987487370
ISBN 13 
9781987487374
Reliure
Broché
Nombre de pages
90
Coordonnées du fabricant
non disponible
Personne responsable
non disponible