Algorithms for Nonlinear Optimization
Washington University in St. Louis · MO · CSE5403
Algorithms for Nonlinear Optimization is a subject at Washington University in St. Louis, MO. It covers topics like algorithms, computational-mathematics, linear-algebra, mathematical-economics. It is part of 13 degrees. The information below is compiled from public course material — approximate, not official.
Washington University in St. Louis
CSE5403
3.00
Topics covered
Degrees that include Algorithms for Nonlinear Optimization
- Biomedical Engineering, MS (BME)
- Biomedical Engineering, PhD (BME)
- Computer Science + Economics (CSE), BS
- Computer Science + Mathematics (CSE), BS
- Computer Science + Mathematics (CSE), Second Major
- Data Mining & Machine Learning Certificate (CSE)
- Data Science (CSE), BS
- Data Science (CSE), Second Major
- Data Science Major
- Economics and Computer Science Major
- Imaging Science, PhD (IS)
- Mathematics and Computer Science Major
- Robotics and Intelligent Systems, MEng
Frequently asked questions
What is Algorithms for Nonlinear Optimization about?
Algorithms for Nonlinear Optimization covers topics like algorithms, computational-mathematics, linear-algebra, mathematical-economics.
Which degrees include Algorithms for Nonlinear Optimization?
Algorithms for Nonlinear Optimization is part of 13 degrees, including Biomedical Engineering, MS (BME), Biomedical Engineering, PhD (BME), Computer Science + Economics (CSE), BS, Computer Science + Mathematics (CSE), BS, Computer Science + Mathematics (CSE), Second Major.
How many credit points is Algorithms for Nonlinear Optimization?
Algorithms for Nonlinear Optimization at Washington University in St. Louis is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Algorithms for Nonlinear Optimization taught?
Algorithms for Nonlinear Optimization is taught at Washington University in St. Louis, MO.
Studying Algorithms for Nonlinear Optimization?
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Sources: Washington University in St. Louis public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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