1 citations · 1 across the 3 of their papers we have counts for
5 papers
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…
Convergence of Adaptive, Randomized, Iterative Linear Solvers
Vivak Patel, Mohammad Jahangoshahi, Daniel Adrian Maldonado
Deterministic and randomized, row-action and column-action linear solvers have become increasingly popular owing to their simplicity, low computational and memory complexities, and…
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…
Probabilistic analysis of masked loads with aggregated photovoltaic production
Shaohui Liu, Daniel Adrian Maldonado, Emil M. Constantinescu
In this paper we present a probabilistic analysis framework to estimate behind-the-meter photovoltaic generation in real time. We develop a forward model consisting of a spatiotemp…
An Implicit Representation and Iterative Solution of Randomly Sketched Linear Systems
Vivak Patel, Mohammad Jahangoshahi, Daniel Adrian Maldonado
Randomized linear system solvers have become popular as they have the potential to reduce floating point complexity while still achieving desirable convergence rates. One particula…