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portada Introduction to Cubic Spline Interpolation with Examples in Python
Type
Physical Book
Author
Publisher
Language
English
Pages
90
Format
Paperback
Dimensions
25.4 x 17.8 x 0.6 cm
Weight
0.23 kg.
ISBN13
9781987487374
Categories

Introduction to Cubic Spline Interpolation with Examples in Python

Thomas I. Maindl (Author) · Createspace · Paperback

Introduction to Cubic Spline Interpolation with Examples in Python - Maindl, Thomas I.

New Book Imported to Taiwan
Delivery: 22 Sep - 05 Oct Shipping: 16 to 20 business days.
NT$ 1,720
NT$ 1,720

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Synopsis "Introduction to Cubic Spline Interpolation with Examples in Python"

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

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