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