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mlopez-ibanez
irace:Iterated Racing for Automatic Algorithm Configuration
Iterated race is an extension of the Iterated F-race method for the automatic configuration of optimization algorithms, that is, (offline) tuning their parameters by finding the most appropriate settings given a set of instances of an optimization problem. M. López-Ibáñez, J. Dubois-Lacoste, L. Pérez Cáceres, T. Stützle, and M. Birattari (2016) <doi:10.1016/j.orp.2016.09.002>.
Maintained by Manuel López-Ibáñez. Last updated 2 months ago.
algorithm-configurationhyperparameter-tuningiraceoptimization-algorithms
63 stars 10.20 score 103 scripts 1 dependentsboennecd
psqn:Partially Separable Quasi-Newton
Provides quasi-Newton methods to minimize partially separable functions. The methods are largely described by Nocedal and Wright (2006) <doi:10.1007/978-0-387-40065-5>.
Maintained by Benjamin Christoffersen. Last updated 7 months ago.
optimizationoptimization-algorithmsquasi-newtonopenblascppopenmp
2 stars 5.26 score 5 scripts 3 dependents