A kd-tree algorithm to discover the boundary of a black box hypervolume
Copyright policy )A kd-tree algorithm to discover the boundary of a black box hypervolume
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- Sorbonne Paris Cité France
- University of Paris France
- University of Paris-Saclay France
- Sciences Po France
- National Research Institute for Agriculture, Food and Environment France
[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Data structures, decision support system, hyper-volume, \(kd\)-tree, viability, kd-tree, Approximation algorithms, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], 004, 510, Computing methodologies for information systems (hypertext navigation, interfaces, decision support, etc.), boundary approximation, approximation of hyper-volume, Analysis of algorithms
[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Data structures, decision support system, hyper-volume, \(kd\)-tree, viability, kd-tree, Approximation algorithms, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], 004, 510, Computing methodologies for information systems (hypertext navigation, interfaces, decision support, etc.), boundary approximation, approximation of hyper-volume, Analysis of algorithms
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