Proves H^{-1} norm equivalence to expectation over random test functions and introduces SV-PINNs that outperform standard PINNs on eight elliptic problems.
American mathematical society
3 Pith papers cite this work. Polarity classification is still indexing.
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2026 3representative citing papers
The authors prove a population L2 stability estimate and finite-sample certificate for one policy-evaluation step in a neural HJB solver with learned dynamics, plus multi-step propagation through greedy improvement, with experiments on high-dimensional control tasks.
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