Cubic spline interpolation with examples in Python
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 203 MB
Genre: eLearning Video | Duration: 15 lectures (1 hour, 33 mins) | Language: English

Learn the math and get the code for constructing cubic interpolating splines

What you'll learn

Construct one-dimensional cubic splines from scratch
Apply spline interpolation to their projects
Use spline library functions with confidence
Explain how to approach interpolation

Requirements

You should have calculus and linear algebra knowledge at a beginner level (continuous functions, derivatives of functions, systems of linear algebraic equations and their matrix representation)
You should have some coding experience in any programming language
You should be able to view and use IPython / Jupyter Notebooks

Description

This is a technical course designed for students and practitioners.

This course gets you

an introduction to spline interpolation

an understanding of what splines are

a detailed description of how to construct linear and cubic splines

Python code to construct cubic splines with different boundary conditions

the confidence of knowing what library functions for spline interpolation actually do

Who this course is for:

Engineering and science students
Computer graphics and game development students and professionals
People who always wanted to know what those splines are
Anyone interested in interpolation

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