Article-Journal

Scalable modeling and solution of stochastic multiobjective optimization problems
We present a scalable computing framework for the solution stochastic multiobjective optimization problems. The proposed framework uses …
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Parallel solution of robust nonlinear model predictive control problems in batch crystallization
Representing the uncertainties with a set of scenarios, the optimization problem resulting from a robust nonlinear model predictive …
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Clustering-based preconditioning for stochastic programs
We present a clustering-based preconditioning strategy for KKT systems arising in stochastic programming within an interior-point …
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An augmented Lagrangian interior-point approach for large-scale NLP problems on graphics processing units
The demand for fast solution of nonlinear optimization problems, coupled with the emergence of new concurrent computing architectures, …
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An interior-point method for efficient solution of block-structured NLP problems using an implicit Schur-complement decomposition
In this work, we address optimization of large-scale, nonlinear, block-structured problems with a significant number of coupling …
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