The paper introduces advanced algorithms for distance selection and related geometric optimization problems. It enhances existing deterministic solutions with faster runtimes and improved accuracy. The research focuses on reducing the time complexity of solving interpoint distance problems in a point set in the plane. By leveraging partial batched range searching and algorithmic frameworks, the study provides innovative methods to address common computational geometry challenges. The proposed techniques offer promising applications across various domains.
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by Haitao Wang,... at arxiv.org 03-08-2024
https://arxiv.org/pdf/2306.01073.pdfDeeper Inquiries