2013-02-06 01:08:40 -08:00
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============
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Ceres Solver
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============
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2016-11-21 22:37:46 -08:00
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Ceres Solver [#f1]_ is an open source C++ library for modeling and
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solving large, complicated optimization problems. It can be used to
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solve `Non-linear Least Squares`_ problems with bounds constraints and
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general unconstrained optimization problems. It is a mature, feature
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rich, and performant library that has been used in production at
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Google since 2010. For more, see :doc:`features`.
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`ceres-solver@googlegroups.com
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<https://groups.google.com/forum/?fromgroups#!forum/ceres-solver>`_ is
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the place for discussions and questions about Ceres Solver. We use the
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`GitHub Issue Tracker
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<https://github.com/ceres-solver/ceres-solver/issues>`_ to manage bug
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reports and feature requests.
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2014-04-07 08:36:07 +00:00
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.. toctree::
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2016-11-21 22:37:46 -08:00
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:maxdepth: 1
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2014-04-07 08:36:07 +00:00
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:hidden:
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2017-02-27 11:19:31 -08:00
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features
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2016-11-21 22:37:46 -08:00
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installation
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2014-04-07 08:36:07 +00:00
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tutorial
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2016-11-29 19:45:53 -08:00
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derivatives
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2017-02-27 11:19:31 -08:00
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nnls_modeling
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nnls_solving
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2017-04-01 08:24:31 -07:00
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nnls_covariance
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2017-02-27 11:19:31 -08:00
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gradient_solver
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2014-04-07 08:36:07 +00:00
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faqs
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2014-10-02 16:16:26 -07:00
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users
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2014-04-07 08:36:07 +00:00
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contributing
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version_history
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bibliography
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license
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2014-10-02 16:16:26 -07:00
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.. _Non-linear Least Squares: http://en.wikipedia.org/wiki/Non-linear_least_squares
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2014-04-07 08:36:07 +00:00
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2013-02-06 01:08:40 -08:00
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2014-04-07 08:36:07 +00:00
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Cite Us
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2014-10-02 16:16:26 -07:00
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=======
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2014-04-07 11:14:51 -07:00
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If you use Ceres Solver for a publication, please cite it as::
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2013-05-30 07:22:18 -07:00
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2022-03-27 09:30:30 -07:00
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@software{Agarwal_Ceres_Solver_2022,
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author = {Agarwal, Sameer and Mierle, Keir and The Ceres Solver Team},
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title = {{Ceres Solver}},
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license = {Apache-2.0},
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url = {https://github.com/ceres-solver/ceres-solver},
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version = {2.1},
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year = {2022},
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month = {3}
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}
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.. rubric:: Footnotes
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.. [#f1] While there is some debate as to who invented the method of
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Least Squares [Stigler]_, there is no questioning the fact
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that it was `Carl Friedrich Gauss
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<http://www-groups.dcs.st-and.ac.uk/~history/Biographies/Gauss.html>`_
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who brought it to the attention of the world. Using just 22
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observations of the newly discovered asteroid `Ceres
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<http://en.wikipedia.org/wiki/Ceres_(dwarf_planet)>`_, Gauss
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used the method of least squares to correctly predict when
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and where the asteroid will emerge from behind the Sun
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[TenenbaumDirector]_. We named our solver after Ceres to
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celebrate this seminal event in the history of astronomy,
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statistics and optimization.
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