Nonlinear Optimization
University of Edinburgh · Scotland · MATH11244
Nonlinear Optimization is a subject at University of Edinburgh, Scotland. It covers topics like linear-algebra, machine-learning, mathematical-economics, operations-management. It is part of 11 degrees. The information below is compiled from public course material — approximate, not official.
University of Edinburgh
MATH11244
3.00
Topics covered
Degrees that include Nonlinear Optimization
- Computational Applied Mathematics (MSc) - 1 Year (Full-time)
- Operational Research (MSc) (Full-time)
- Operational Research (MSc) (Part-time)
- Operational Research with Data Science (MSc) - 1 Year
- Operational Research with Data Science (MSc) - 2 Years (Part-time)
- Operational Research with Risk (MSc) (Full-time)
- Operational Research with Risk (MSc) (Part-time)
- Statistics and Operational Research (MSc) (Full-time)
- Statistics and Operational Research (MSc) (Part-time)
- Statistics with Data Science (MSc)
- Statistics with Data Science (MSc) - 2 Years (Part-time)
Frequently asked questions
What is Nonlinear Optimization about?
Nonlinear Optimization covers topics like linear-algebra, machine-learning, mathematical-economics, operations-management.
Which degrees include Nonlinear Optimization?
Nonlinear Optimization is part of 11 degrees, including Computational Applied Mathematics (MSc) - 1 Year (Full-time), Operational Research (MSc) (Full-time), Operational Research (MSc) (Part-time), Operational Research with Data Science (MSc) - 1 Year, Operational Research with Data Science (MSc) - 2 Years (Part-time).
How many credit points is Nonlinear Optimization?
Nonlinear Optimization at University of Edinburgh is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Nonlinear Optimization taught?
Nonlinear Optimization is taught at University of Edinburgh, Scotland.
Studying Nonlinear Optimization?
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Sources: University of Edinburgh public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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