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math.OC2022
Condensed interior-point methods: porting reduced-space approaches on GPU hardware
François Pacaud, Sungho Shin, Michel Schanen +2
The interior-point method (IPM) has become the workhorse method for nonlinear programming. The performance of IPM is directly related to the linear solver employed to factorize the…
math.OC2020
Sequential Bayesian Parameter Estimation of Stochastic Dynamic Load Models
Daniel Adrian Maldonado, Vishwas Rao, Mihai Anitescu +1
In this paper we focus on the parameter estimation of dynamic load models with stochastic terms, in particular, load models where protection settings are uncertain, such as in aggr…