PDE Constrained Optimization
Uppsala University
Uppsala
Start date:
End date:
Pace of study: 33 %
Published education catalogue
PDE Constrained Optimization
Education information from the published source. The education record and its time-bound offerings are kept separate.
Education facts
Code: 1TD051
The course targets applications in science and technology, such as design optimisation, detection, and tomography. Elliptic, parabolic, and hyperbolic PDEs are covered. The content is divided into three main areas: analysis, numerical methods, and problem solving and programming.
Entry requirements
120 credits in science/engineering. Science Computing for Partial Differential Equations. Optimisation. Proficiency in English equivalent to the Swedish upper secondary course English 6.
Education offerings
Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.
Source and updates
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Publication version: 8e217193-f5fa-4778-b085-a4521fd03e8d
Checksum: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c
Last changed according to the source: 2026-03-09T12:14:25