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Mixed-Precision GPU Acceleration for Large-Scale Minimum Enclosing Ball Problems
A mixed-precision GPU-oriented optimization framework is developed for computing the minimum enclosing ball of a collection of balls. The approach is built on an equivalent second-order cone programming reformulation and a relative-type inexact proximal augmented Lagrangian method (ripALM), which pr
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