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March 3, 2026
Fast extremum graph computation for large-scale arbitrary grids
QL
Quming Li
ML
M. X. Luo
Army Medical University
ZH
Zhibin Huang
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Key Points
The computation of extremum graphs enhances performance on large-scale grids, providing a quicker solution.
Key evidence includes a reduction in processing time for complex grid structures, indicating significant improvements.
Analysis focuses on optimization algorithms tailored for arbitrary grids, highlighting their effectiveness in handling large datasets.
This approach suggests wider application possibilities in computational geometry, but further validation is necessary.
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Fast extremum graph computation for large-scale arbitrary grids | Synapse
Cite This Study
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Li et al. (Tue,) studied this question.
synapsesocial.com/papers/69a761b7c6e9836116a2fc53
https://doi.org/https://doi.org/10.1016/j.cagd.2026.102519