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math.NA2026

Hamiltonian Interface Dynamics for Reduced-Order Optimization of Incompressible Mixing

Ziqian Li, Enrique Zuazua

We develop a reduced-order framework for optimizing mixing in two-dimensional incompressible flows. Instead of optimizing the full transport PDE, the method maximizes the length of…

math.NA2026

Moments, Time-Inversion and Source Identification for the Heat Equation

Kang Liu, Enrique Zuazua

We address the initial source identification problem for the heat equation, a notably ill-posed inverse problem characterized by exponential instability. Departing from classical T…

math.NA2026

Universal Approximation of Dynamical Systems by Semi-Autonomous Neural ODEs and Applications

Ziqian Li, Kang Liu, Lorenzo Liverani +1

In this paper, we introduce semi-autonomous neural ordinary differential equations (SA-NODEs), a variation of the vanilla NODEs, employing fewer parameters. We investigate the univ…

math.NA2026

A Structure-Preserving Numerical Scheme for Optimal Control and Design of Mixing in Incompressible Flows

Weiwei Hu, Ziqian Li, Yubiao Zhang +1

We develop a structure-preserving computational framework for optimal mixing control in incompressible flows. Our approach exactly conserves the continuous system's key invariants…

math.NA2025

Random Batch Methods for Discretized PDEs on Graphs

Martín Hernández, Enrique Zuazua

Gas transport and other complex real-world challenges often require solving and controlling partial differential equations (PDEs) defined on graph structures, which typically deman…