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20242026
most citedFormulations and scalability of neural network surrogates in nonlinear optimization problems

1 citations · 1 across the 7 of their papers we have counts for

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math.OC2026

Exploiting block triangular submatrices in KKT systems

Robert Parker, Manuel Garcia, Russell Bent

We propose a method for solving Karush-Kuhn-Tucker (KKT) systems that exploits block triangular submatrices by first using a Schur complement decomposition to isolate the block tri…

cs.LG2026

Generating adversarial inputs for a graph neural network model of AC power flow

Robert Parker

This work formulates and solves optimization problems to generate input points that yield high errors between a neural network's predicted AC power flow solution and solutions to t…