[HTML][HTML] Optimization under uncertainty and risk: Quadratic and copositive approaches
IM Bomze, M Gabl - European Journal of Operational Research, 2023 - Elsevier
Robust optimization and stochastic optimization are the two main paradigms for dealing with
the uncertainty inherent in almost all real-world optimization problems. The core principle of …
the uncertainty inherent in almost all real-world optimization problems. The core principle of …
Affinely adjustable robust optimization for radiation therapy under evolving data uncertainty via semi-definite programming
Static robust optimization has played an important role in radiotherapy, where the decisions
aim to safeguard against all possible realizations of uncertainty. However, it may lead to …
aim to safeguard against all possible realizations of uncertainty. However, it may lead to …
The smallest mono-unstable convex polyhedron with point masses has 8 faces and 11 vertices
In the study of monostatic polyhedra, initiated by John H. Conway in 1966, the main question
is to construct such an object with the minimal number of faces and vertices. By …
is to construct such an object with the minimal number of faces and vertices. By …
Simulación del sistema eléctrico para optimizar la distribución mediante programación entera mixta y modelo cónico de segundo orden.
HA Herrera Miranda - 2024 - repositorio.utc.edu.ec
In the field of optimal reconfiguration of electrical distribution systems (EDS), a literary
approach has been adopted that facilitates the linearization of the models, allowing the use …
approach has been adopted that facilitates the linearization of the models, allowing the use …