SYNOPSIS

Classes

class mlpack::optimization::SA< FunctionType, CoolingScheduleType >

Simulated Annealing is an stochastic optimization algorithm which is able to deliver near-optimal results quickly without knowing the gradient of the function being optimized.

Namespaces

mlpack

Linear algebra utility functions, generally performed on matrices or vectors. mlpack::optimization

Detailed Description

Author:

Zhihao Lou

Simulated Annealing (SA).

This file is part of MLPACK 1.0.10.

MLPACK is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

MLPACK is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details (LICENSE.txt).

You should have received a copy of the GNU General Public License along with MLPACK. If not, see http://www.gnu.org/licenses/.

Definition in file sa.hpp.

Author

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