Martin Branda
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View article: Producer's Best Response in Pay-as-clear Electricity Market with Uncertain Demand
Producer's Best Response in Pay-as-clear Electricity Market with Uncertain Demand Open
View article: Machine learning approach to chance-constrained problems: An algorithm based on the stochastic gradient descent
Machine learning approach to chance-constrained problems: An algorithm based on the stochastic gradient descent Open
We consider chance-constrained problems with discrete random distribution. We aim for problems with a large number of scenarios. We propose a novel method based on the stochastic gradient descent method which performs updates of the decisi…
View article: Downstream logistics optimization at EWOS Norway
Downstream logistics optimization at EWOS Norway Open
The Norwegian company EWOS AS produces sh feed for the salmon farming industry, supplying approximately 300 customers spread along the coast of Norway. The feed is produced at three factory locations and distributed by a eet of 10 dedicate…
View article: Convergence of a Scholtes-type Regularization Method for Cardinality-Constrained Optimization Problems with an Application in Sparse Robust Portfolio Optimization
Convergence of a Scholtes-type Regularization Method for Cardinality-Constrained Optimization Problems with an Application in Sparse Robust Portfolio Optimization Open
We consider general nonlinear programming problems with cardinality constraints. By relaxing the binary variables which appear in the natural mixed-integer programming formulation, we obtain an almost equivalent nonlinear programming probl…
View article: Convergence of a Scholtes-type Regularization Method for\n Cardinality-Constrained Optimization Problems with an Application in Sparse\n Robust Portfolio Optimization
Convergence of a Scholtes-type Regularization Method for\n Cardinality-Constrained Optimization Problems with an Application in Sparse\n Robust Portfolio Optimization Open
We consider general nonlinear programming problems with cardinality\nconstraints. By relaxing the binary variables which appear in the natural\nmixed-integer programming formulation, we obtain an almost equivalent nonlinear\nprogramming pr…