A deep first-order least-squares neural method approximates solution, gradient, and multiplier of the obstacle problem, with Gamma-convergence guarantees and tests up to dimension 20.
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A deep first-order system least squares method for the obstacle problem
A deep first-order least-squares neural method approximates solution, gradient, and multiplier of the obstacle problem, with Gamma-convergence guarantees and tests up to dimension 20.