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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.
C++ templates with generic nonlinear optimization algorithms
Highly tunable, simple to use collection of the templates, containing a set of classes for solving unconstrained large scale nonlinear optimization problems. Currently it contains:
-- Limited Memory Quasi Newton (L-BFSG)
-- BFSG
-- Conjugate Gradient
-- Gradient Descent
-- Wolf condition Line Search
-- Backtracking Line Search
-- Exact Golden Search
-- Golden Search with Wolf condition
We also distribute a set of tests with the library.
The Kyoto FST Decoder is a general decoding engine for Weighted Finite State Transducers. It features flexible XML-based configuration, beam-search decoding, and is able to output separate weights for weight tuning.