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Johannes Schönberger cd2dd06e9a Fix clang16 compiler warnings 
Fixes the following two warnings:

preconditioner.h:64:11: warning: field 'f_block_size' will be initialized after field 'elimination_groups' [-Wreorder-ctor]
block_sparse_matrix.cc:70:19: warning: unused parameter 'values' [-Wunused-parameter]

Change-Id: I5cc55ca387b3f12259096c1531c263279650bd49
2024-04-22 17:22:03 +00:00
.github/workflows
MinGW no longer provides a 32-bit METIS package
2024-01-17 20:48:53 +01:00
bazel
Unbreak the Bazel build.
2024-01-16 16:56:17 -08:00
cmake
Use C++17 Bessel functions
2024-01-22 20:42:59 +01:00
config/ceres/internal
Fix the bazel build
2022-02-27 07:50:56 -08:00
data
Remove Protocol Buffers support.
2013-06-24 14:28:40 -07:00
docs
Typo fixes in the documentation
2024-01-30 09:11:24 -08:00
examples
Simplify instantiation of cost functions and their functors
2024-01-23 01:34:27 +01:00
include/ceres
Fix typo in AutoDiffManifold comment and docs
2024-01-29 03:19:37 +03:00
internal/ceres
Fix clang16 compiler warnings
2024-04-22 17:22:03 +00:00
scripts
Fix search on ceres-solver.org
2023-10-13 14:26:12 -07:00
.clang-format
fix formatting for (non-generated) internal source files
2020-09-21 02:52:07 +02:00
.gitignore
Minor fixes in comments
2022-08-08 16:15:46 +03:00
BUILD
Preparing for 2.2.0rc1
2023-09-21 11:23:38 -07:00
CITATION.cff
Update docs for 2.2.0.
2023-10-12 18:12:09 -07:00
CMakeLists.txt
Link static cuda libs when ceres is build static
2024-04-03 11:09:40 +02:00
CONTRIBUTING.md
Add CONTRIBUTING.md
2018-07-10 06:16:27 +00:00
LICENSE
Preparing for 2.2.0rc1
2023-09-21 11:23:38 -07:00
package.xml
Preparing for 2.2.0rc1
2023-09-21 11:23:38 -07:00
README.md
Fix link to macOS badge
2022-03-14 18:56:05 +01:00
WORKSPACE
Preparing for 2.2.0rc1
2023-09-21 11:23:38 -07:00

README.md

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Ceres Solver

Ceres Solver is an open source C++ library for modeling and solving large, complicated optimization problems. It is a feature rich, mature and performant library which has been used in production at Google since 2010. Ceres Solver can solve two kinds of problems.

  1. Non-linear Least Squares problems with bounds constraints.
  2. General unconstrained optimization problems.

Please see ceres-solver.org for more information.

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