A monotonic ICNN architecture with domain reduction to the positive octant approximates polyconvex envelopes of isotropic functions more efficiently than existing necessary-and-sufficient methods, demonstrated on Saint Venant-Kirchhoff energy.
Discrete & Computational Geometry , VOLUME =
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Presents an adaptive approximation algorithm for general linear-multi-parametric optimization problems that generalizes prior methods to negative parameters and arbitrary sets, with structural results on parameter transformations and a negative result on approximability conditions.
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An Adaptive Algorithm for the Approximation of General Linear-Parametric Optimization Problems
Presents an adaptive approximation algorithm for general linear-multi-parametric optimization problems that generalizes prior methods to negative parameters and arbitrary sets, with structural results on parameter transformations and a negative result on approximability conditions.