This brings it in line with other manifolds like SphereManifold
and LineManifold, where the user has the choice to specify the size
of the manifold at compile time or runtime.
Most of the time the size is known at compile time so this will
speed up the common case.
Change-Id: I0c7ff8b7a9a64a81203eb11afc074874e208815a
1. Fix a stupid error in types.cc
2. Update documentation for Solver::Options::dense_linear_algebra_library_type
3. Add a note to installation.rst to update the installation docs.
4. Mention GPU acceleration in features.rst
Change-Id: Id63202ff090e23bbb211d2ee458559fb8046281d
Add [[deprecate]] notices to everything LocalParameterization
related.
Make sure that Ceres can be compiled without triggering
deprecation warnings.
Update the documentation:
a. Add deprecation notices.
b. Document interaction between LocalParameterization and Manifold
coexisting in the Problem.
c. Add documentation for Manifold(s)
Change-Id: Ie4ad48963c83fded86e533c8c60561af402fbaff
- Also adds documentation of mixed precision solves to Sphinx docs.
- Fix reference to Sphinx theme used (RTD not better).
- Fix NOTE syntax in use_explicit_schur_complement Sphinx docs.
Change-Id: I7bdac0f07eb737f49b05e3fcaa3eebd087355d2d
Add a pointer about how the theory and practice of Trigg's correction
for loss function differs when the second derivative of the loss
function becomes positive.
https://github.com/ceres-solver/ceres-solver/issues/573
Change-Id: Ic22ce91cc230f7ed7fa7b70a1cc2050919039828
This has been a long requested feature so that users can minimize
functions using numeric differentiation.
As part of this, I have also redone rosenbrock.cc, which now has three
variants.
rosenbrock.cc now uses automatic differentiation.
rosenbrock_numeric_diff.cc uses numeric differentiation.
rosenbrock_analytic_diff.cc uses analytic derivatives.
This is analogus to how the helloworld example code is structured.
The tutorial for GradientProblemSolver has also been updated to reflect
this.
https://github.com/ceres-solver/ceres-solver/issues/691
Change-Id: Ib0fb9e35127fe4c8299d4793bea3558722c70dd7
Build with documentation fails if the required 'sphinx rtd theme' is
not available. Check if dependency is installed before building with
documentation.
Add Python3 as requirement for building documentation.
Change-Id: I5edc5d7374864990e625a5efb358f5a23b3c50fe
- update links to cmake docs to version 3.5
- highlight difference between dependencies with and without custom
find modules
- point out removal of CERES_INCLUDE_DIRS
- point out that TBB might be linked if SuiteSparseQR is found
- added 'Migration' section
- fixed typos
Change-Id: Icbcc0e723d11f12246fb3cf09b9d7c6206195a82
Linux:
- Remove workaround for Ubuntu 14.04, which is EOL. libsuitesparse-dev
seems to come with a shared library on 16.04 and later, so linking
to a shared build of ceres doesn't seem to be an issue any more.
- Add missing libgflags-dev.
macOS:
- OS X is now called macOS.
- Update homebrew link.
- Mac homebrew the preferred method of installation.
- Fix OpenMP instructions.
- Remove reference to homebrew/science. Everything is in core.
- Add missing gflags.
Change-Id: I633b3c7ea84a87886bfd823f8187fdd0a84737c9
1. Add a move constructor to NumericDiffCostFunction, DynamicAutoDiffCostfunction
and DynamicNumericDiffCostFunction.
2. Add optional ownership of the underlying functor.
3. Update docs to reflect this as well as the variadic templates that allow an
arbitrary number of parameter blocks.
Change-Id: I57bbb51fb9e75f36ec2a661b603beda270f30a19
Add Ownership semantics to the AutoDiffCostFunction
This allows several benefits, such as pointer ordering always being the
same for numerical repeatability (due to blocks being ordered by
pointer address), memory adjacency for better cache performance, and
reduced allocator pressure / overhead.
This is then made use of in libmv by preallocating the errors and
cost functions into vectors
Change-Id: Ia5b97e7249b55a463264b6e26f7a02291927c9f2
- Ceres will fail to configure if Eigen3::Eigen target is not found, and
the minimum required Eigen version specified (3.3) exports Eigen as
a CMake package and this is reflected in the default Ubuntu 18.04
packages.
- This permits users to specify their own Eigen3 detection should they
choose to do so, but they must do so via an imported target.
Change-Id: I5edff117c8001770004f49012ac1ae63b66ec9c1
- As our minimum required version of gflags (2.2) exports itself as
a CMake package and this is the case for the default 18.04 package
we can use the gflags target directly.
- Replaces forced use of CONFIG in find_package(gflags) with a check
that the gflags imported target exists to avoid ambiguity with
libgflags if installed in a default location. This permits users to
override the gflags detection should they so choose, provided that
they do so via an imported target.
- Also removes some previously removed legacy GLAGS_ vars from the
installation docs.
Change-Id: I015f5a751e5b22f956bbf9df692e63a6825c9f0d
Simplify the semantics for Problem::EvaluateResidualBlock to
not ignore the presence of EvaluationCallback and add another method
EvaluateResidualBlockAssumingParametersUnchanged to handle the case
where the user has an EvaluationCallback but knows that the parameter
blocks do not change between calls.
Updated the documentation for the methods and EvaluationCallback to
reflect these semantics.
Also added tests for Evaluation related methods calling i
EvaluationCallback when its present.
https://github.com/ceres-solver/ceres-solver/issues/483
Change-Id: If0a0c95c2f1f92e9183a90df240104a69a71c46d
- Removes all workarounds for pre-C++14 versions
- Removes '11' qualifier from C++ threading option and associated
defines.
- Fix missing inclusion of 'Multithreading' in reported Ceres components
when C++ threading model is enabled.
- Update Sphinx documentation to specify C++14 as minimum requirement.
Change-Id: I706c8b367b3221e3c4d1a0aaf669a8f9c911e438
Re-organize the section, add some more references and details for
existing preconditioners and add documentation for the SUBSET
precondition.
https://github.com/ceres-solver/ceres-solver/issues/490
Change-Id: I93d0af819c160f5e4ce48b18202f629ddb92ca7b
1. The MathJax font configuration is moved into conf.py and removed
from make_docs.py along with better font sizing.
2. Remove the bread crumb replacement as it is not working anymore.
3. Fix a parsing error in nnls_modeling.rst which the new version of
sphinx barfed on.
Change-Id: Ia3c2e732323a8b5cabafe851ac5ca0f0c82da071
Fix typos in docs/source/features.rst and examples/helloworld.cc. Alter a NULL to nullptr in include/ceres/autodiff_cost_function.h
Change-Id: Ibcf00b6ef665ad6be9af14b3add2dd4f3852e7e6
- This reflects modern CMake style, and also provides a measure of
protection against missing find_package() imports in downstream
clients resulting in linker errors when 'ceres' matches the compiled
library and not the imported target.
- The original 'ceres' target remains, as a local imported interface
target created by CeresConfig for backwards compatibility.
Change-Id: Ie9ed8de9b7059bc0cae1ae5002bb94d8fe617188
Local parameterizations with zero tangent/local size will cause the
corresponding parameter block to be treated as constant.
https://github.com/ceres-solver/ceres-solver/issues/347
Change-Id: I554a2acc420f5dd9d0cc7f97b691877eb057b2c0
This CL adds a local parameterization for a n-dimensional
line, which is represented as an origin point and a direction.
The line direction is updated in the same way as a
homogeneous vector and the origin point is updated
perpendicular to the line direction.
Change-Id: I733f395e5cc4250abf9778c26fe0a5ae1de6b624
Sameer Agarwal