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convergence analysis 1cost analysis 1discretized optimization 1multiscale methods 1numerical experiments 1

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

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math.NA2026

Multiscale Methods for Discretized Continuous Optimization: Convergence and Cost Analysis

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

The paper studies a multiscale algorithm that solves a sequence of increasingly fine discretizations of continuous optimization problems, using coarse solutions to warm‑start finer…