Pareto

Spatial Containers, Pareto Fronts, and Pareto Archives

While most problems need to simultaneously organize objects according to many criteria, associative containers can only index objects in a single dimension. This library provides a number of containers with optimal asymptotic complexity to represent multi-dimensional associative containers.

These containers are useful in many applications such as games, maps, nearest neighbor search, range search, compression algorithms, statistics, mechanics, graphics libraries, database queries, finance, multi-criteria decision making, optimization, machine learning, hyper-parameter tuning, approximation algorithms, networks, routing algorithms, robust optimization, design, and systems control.