Iterative joint learning-optimization framework with convergent algorithms for pseudoconvex objectives in operational decision systems.
A computational study of linear approxi- mations to the convex constraints in the iterative linear iv-acopf formulation
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Pseudoconvex Problems in Operational Decision Systems: Algorithms for Joint Learning and Optimization
Iterative joint learning-optimization framework with convergent algorithms for pseudoconvex objectives in operational decision systems.