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1

NOMAD: blackbox optimization software

NOMAD is a C++ code that implements the MADS algorithm (Mesh Adaptive Direct Search) for difficult blackbox optimization problems. Such problems occur when the functions to optimize are costly computer simulations with no derivatives.

Downloads: 3 This Week

Last Update: 2018-06-26
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2

MRA

A general recommender system with basic models and MRA

Multi-categorization Recommendation Adjusting (MRA) is to optimize the results of recommendation based on traditional(basic) recommendation models, through introducing objective category information and taking use of the feature that users always get the habits of preferring certain categories. Besides this, there are two advantages of this improved model: 1) it can be easily applied to any kind of existing recommendation models.

2 Reviews

Downloads: 0 This Week

Last Update: 2016-02-17
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3

X-GAT

X-GAT (XML-based Genetic Algorithm Toolkit) is a Java framework to optimize problems with Genetic Algorithms (GAs). Differently from other frameworks, X-GAT contains ready-to-use GAs implementations and new features can be easily added.

Downloads: 0 This Week

Last Update: 2016-07-25
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4

google-sparsehash

An extremely memory-efficient hash_map implementation. 2 bits/entry overhead! The SparseHash library contains several hash-map implementations, including implementations that optimize for space or speed.

1 Review

Downloads: 0 This Week

Last Update: 2022-02-27
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