opencv/modules/optim/doc/optim.rst

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optim. Generic numerical optimization
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.. highlight:: cpp

.. toctree::
    :maxdepth: 2

    linear_programming
    downhill_simplex_method
    primal_dual_algorithm
    nonlinear_conjugate_gradient
Cleaning the code of simplex method In particular, the following things are done: ) Consistent tabulation of 4 spaces is ensured ) New function dprintf() is introduced, so now printing of the debug information can be turned on/off via the ALEX_DEBUG macro ) Removed solveLP_aux namespace ) All auxiliary functions are declared as static *) The return codes of solveLP() are encapsulated in enum. 2013-07-10 20:11:52 +03:00			`**************************************`
			`optim. Generic numerical optimization`
			`**************************************`

			`.. highlight:: cpp`

			`.. toctree::`
			`:maxdepth: 2`

			`linear_programming`
Prepare Downhill Simplex for pull request This is an implementation of so-called downhill simplex method (https://en.wikipedia.org/wiki/Nelder%E2%80%93Mead_method) Please, let me know if you have any comments, whoever you'd be. 2013-08-01 20:42:59 +08:00			`downhill_simplex_method`
Primal-dual algorithm This is an implementation of primal-dual algorithm, based on the C++ source code by Vadim Pisarevsky. It was extended to handle the denoising based on multiple observations. It also contains documentation and tests. 2013-08-19 17:19:52 +08:00			`primal_dual_algorithm`
Finish implementing the Nonlinear Conjugate Gradient Now everything is prepared for the pull request. 2013-09-24 07:51:21 +08:00			`nonlinear_conjugate_gradient`