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Found 2 papers, 1 papers with code
ensmallen: a flexible C++ library for efficient function optimization
We present ensmallen, a fast and flexible C++ library for mathematical optimization of arbitrary user-supplied functions, which can be applied to many machine learning problems.
A generic and fast C++ optimization framework
The development of the mlpack C++ machine learning library (http://www. mlpack. org/) has required the design and implementation of a flexible, robust optimization system that is able to solve the types of arbitrary optimization problems that may arise all throughout machine learning problems.
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