Author

D. Toshniwal

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Preprint Sep 2026

Adaptively-refinable polar-spline discrete differential forms: hierarchical construction, exactness, and applications

A common approach to representing disk-like and sphere-like geometries in isogeometric analysis is to use collapsed-edge singularities in the underlying parameterization. The resulting tensor-product B-spline spaces on such singular parameterizations lack the required smoothness to be used in isogeometric analysis. Pol...

Diogo C. Cabanas, D. Toshniwal, Rafael Vázquez · 0 citations

#machine learning Preprint Sep 2026

Reinforcement learning to choose optimizers

Reinforcement Learning to Choose Optimizers is introduced, which formulates the optimization algorithm choice as a sequential decision-making problem and outperforms every portfolio optimizer at all but the smallest budgets.

Martin P van der Schelling, D. Toshniwal, M. A. Bessa · 0 citations