2 papers
math.OC2026
Adjoint-Compatible Surrogates of the Expected Information Gain for Optimal Experimental Design
Luc de Montella, Sebastian Sager
We consider optimal experimental design for parameter estimation in dynamical systems governed by controlled ordinary differential equations. In such problems, Fisher-based criteri…
math.OC2026
A Sequential Benders-based Mixed-Integer Quadratic Programming Algorithm and Its Implementation in the CAMINO Toolbox
Andrea Ghezzi, Wim Van Roy, Sebastian Sager +1
Sequential quadratic programming and sequential convex programming efficiently solve nonlinear programs (NLPs) by linearizing inner nonlinearities while preserving the outer convex…