Author

D. Toshniwal

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Preprint Sep 2026

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

This paper combines the polar spline construction with hierarchical splines to obtain adaptively-refinable polar splines, and shows how to construct hierarchical polar spline $k$-form spaces, proves that the corresponding basis functions are linearly independent, and proves that they form a cohomologically-correct disc...

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