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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