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Dmitriy Korchemkin 77ad8bb4e5 Change storage in BlockRandomAccessSparseMatrix 
- TripletSparseMatrix in BlockRandomAccessSparseMatrix is replaced with
   BlockSparseMatrix
 - BlockSparseMatrix::ToCompressedRowSparseMatrix is performed in a
   direct sort-less way

Change-Id: Ib951fda1b9394050e2c47a9721172c5e3c674801
2023-04-18 01:34:30 +03:00
.github/workflows
Update Github actions to avoid deprecation warnings
2023-01-04 17:05:49 +00:00
bazel
Reorganize ParallelFor source files
2023-04-11 00:33:55 +03:00
cmake
Remove OpenMP and No threading backends.
2022-11-27 21:06:33 -08:00
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
Reorganize ParallelFor source files
2023-04-11 00:33:55 +03:00
examples
Clang Tidy fixes
2023-04-10 16:43:30 -07:00
include/ceres
Reorganize ParallelFor source files
2023-04-11 00:33:55 +03:00
internal/ceres
Change storage in BlockRandomAccessSparseMatrix
2023-04-18 01:34:30 +03:00
scripts
Deprecate LocalParameterizations
2022-02-10 06:36:47 -08:00
.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
Increasing bazel timeout for heavy BA tests
2023-01-11 13:53:20 +00:00
CITATION.cff
Update the citation instructions in the docs
2022-03-27 10:19:41 -07:00
CMakeLists.txt
Remove OpenMP and No threading backends.
2022-11-27 21:06:33 -08:00
CONTRIBUTING.md
Add CONTRIBUTING.md
2018-07-10 06:16:27 +00:00
LICENSE
Add dividers between licenses.
2020-10-08 12:34:53 -07:00
package.xml
Update installation docs
2022-03-04 11:10:38 -08:00
README.md
Fix link to macOS badge
2022-03-14 18:56:05 +01:00
WORKSPACE
Fix the Bazel build.
2020-10-13 10:01:57 -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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