Cubic spline interpolation with examples in Python
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
- 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
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
Thomas I. Maindl is fascinated with converting scientific methodology into real, tangible profit. He developed and sold his first application (accounting for small businesses) at the age of 16 and held expert and management positions in the chemical and software industries for more than 15 years before founding Dr. Maindl Consulting in 2009. He successfully developed, implemented, and deployed optimization-based advanced planning applications with measurable ROI for customers in the chemical, energy, high-tech and other industries around the world and wrote the book "Real optimization with SAP APO" (Springer). Presently, he focuses on delivering spot consulting and seminars & training on challenging topics.
Dr. Maindl earned his MSc and PhD degrees in astronomy from the University of Vienna, Austria and is still an active scientist. He has published numerous research papers in astrophysics, edited a book on extrasolar planetary systems, wrote a textbook on cubic spline interpolation, and delivers first-class lectures on astrophysics, applied numerical mathematics, scientific high-performance computing, advanced planning, logistics, and supply chain management at universities and business schools internationally.