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math.OC2026

McCormick relaxations for PDE-constrained optimization on multi-dimensional domains

Mariia Pokotylo, Paul Manns

We are interested in computing approximate dual bounds for nonconvex optimal control problems using McCormick inequalities. To handle the numerical burden concerned with the tighte…

math.OC2026

Randomization and Performance Improvement for Integer Optimal Control with Total Variation Regularization

Robert Baraldi, Paul Manns, Lars Mösezahl +1

Mixed-integer PDE-constrained optimization problems are computationally challenging due to both the combinatorial nature of integer programming as well as evaluation of the model.…

math.OC2026

Optimizing the Principal Coefficient of Elliptic Equations using -regularity,

Ala' Alalabi, Lorena Bociu, Paul Manns

We study coefficient identification problems for elliptic partial differential equations with total variation regularization and control constraints. Existing related literature re…

math.OC2024

Domain decomposition for integer optimal control with total variation regularization

Robert Baraldi, Paul Manns

Total variation integer optimal control problems admit solutions and necessary optimality conditions via geometric variational analysis. In spite of the existence of said solutions…

math.OC2024

McCormick envelopes in mixed-integer PDE-constrained optimization

Sven Leyffer, Paul Manns

McCormick envelopes are a standard tool for deriving convex relaxations of optimization problems that involve polynomial terms. Such McCormick relaxations provide lower bounds, for…