mirror of
https://github.com/ceres-solver/ceres-solver.git
synced 2026-08-30 00:50:37 +08:00
Sameer Agarwal
b246991b6f
1. Update the cff file to be more inclusive. 2. Update the BibTeX entry in index.rst to match the one generated by GitHub. Change-Id: I26d031b2128d1d4330623bcdace284ca9ffce9e1
71 lines
2.2 KiB
ReStructuredText
71 lines
2.2 KiB
ReStructuredText
============
|
|
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.
|