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Operator splitting methods for convex optimization: analysis and implementation

Abstract:

Convex optimization problems are a class of mathematical problems which arise in numerous applications. Although interior-point methods can in principle solve these problems efficiently, they may become intractable for solving large-scale problems or be unsuitable for real-time embedded applications.

Iterations of operator splitting methods are relatively simple and computationally inexpensive, which makes them suitable for these applications. However, some of thei...

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Department:
Engineering Science
Role:
Author

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Department:
Engineering Science
Role:
Supervisor
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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