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20212026
most citedParametric model order reduction for a wildland fire model via the shifted POD based deep learning method

2 citations · 2 across the 6 of their papers we have counts for

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math.OC2026

A first-optimize-then-reduce framework for optimal control with the shifted proper orthogonal decomposition

Tobias Breiten, Shubhaditya Burela, Philipp Schulze

Overcoming the Kolmogorov barrier for constructing efficient reduced-order models (ROMs) for transport-dominated problems remains a challenge. This has impeded their use as computa…

math.OC2026

Optimal control for a class of linear evolution equations with transformed proper orthogonal decomposition

Tobias Breiten, Shubhaditya Burela, Philipp Schulze

Solving optimal control problems for high-dimensional partial differential equations (PDEs) is computationally expensive. As a workaround, reduced-order models (ROMs) are often emp…