most citedScalable Data-Driven Basis Selection for Linear Machine Learning Interatomic Potentials

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Multiscale Methods for Discretized Continuous Optimization: Convergence and Cost Analysis

Nicholas J. E. Richardson, Noah Marusenko, Michael P. Friedlander

Discretized versions of optimization problems over continuous arguments are routinely solved at a single fine resolution, incurring a per-iteration cost that grows, often superline…