activity
20172020
most citedReduced-Space Interior Point Methods in Power Grid Problems

2 citations · 2 across the 2 of their papers we have counts for

collaborators

7 papers

math.OC20202 cited

Reduced-Space Interior Point Methods in Power Grid Problems

Juraj Kardos, Drosos Kourounis, Olaf Schenk

Due to critical environmental issues, the power systems have to accommodate a significant level of penetration of renewable generation which requires smart approaches to the power…

math.OC2019

Structure Exploiting Interior Point Methods

Juraj Kardoš, Drosos Kourounis, Olaf Schenk

Interior point methods are among the most popular techniques for large scale nonlinear optimization, owing to their intrinsic ability of scaling to arbitrary large problem sizes. T…

math.AP2019

The inverse conductivity problem via the calculus of functions of bounded variation

Antonios Charalambopoulos, Vanessa Markaki, Drosos Kourounis

In this work, a novel approach for the solution of the inverse conductivity problem from one and multiple boundary measurements has been developed on the basis of the implication o…

physics.comp-ph2018

Micromagnetic Simulations Study of Skyrmions in Magnetic FePt Nanoelements

Leonidas N. Gergidis, Vasileios D. Stavrou, Drosos Kourounis +1

The magnetization reversal in 330 nm triangular prismatic magnetic nanoelements with variable magnetocrystalline anisotropy similar to that of partially chemically ordered FePt is…

math.OC2018

Complete results for a numerical evaluation of interior point solvers for large-scale optimal power flow problems

Juraj Kardos, Drosos Kourounis, Olaf Schenk +1

Recent advances in open source interior-point optimization methods and power system related software have provided researchers and educators with the necessary platform for simulat…

cs.CE2018

Optimizing gas networks using adjoint gradients

Conor O'Malley, Drosos Kourounis, Gabriela Hug +1

An increasing amount of gas-fired power plants are currently being installed in modern power grids worldwide. This is due to their low cost and the inherent flexibility offered to…