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1. Convex Optimization for Assignment and Generalized Linear Regression Problems
Sammanfattning : This thesis considers optimization techniques with applications in assignment and generalized linear regression problems. The first part of the thesis investigates the worst-case robust counterparts of combinatorial optimization problems with least squares (LS) cost functions, where the uncertainty lies on the linear transformation of the design variables. LÄS MER
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