commit | 3e2cdca542cab14697a0d7e411d6243f73e40d71 | [log] [tgz] |
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author | Sameer Agarwal <sameeragarwal@google.com> | Mon May 13 10:20:50 2019 -0700 |
committer | Sameer Agarwal <sameeragarwal@google.com> | Mon May 13 10:20:50 2019 -0700 |
tree | aae60cb19bb82c75882d5f606c987d0154e1bce6 | |
parent | 3ff12a878bf335dd3ea15944fe20648757c1bad8 [diff] |
Make LineSearchMinizer work correctly with negative valued functions. When reasoning about the function_tolerance based convergence, LineSearchMinimizer assumed that the objective function is positive. This used to be the case when LineSearchMinimizer was used for minimizing non-linear least squares problems. However, with GradientProblemSolver, the objective function can be negative (for example when maximizing a function). This change the minimizer to use the absolute value of the change from one iteration to another. https://github.com/ceres-solver/ceres-solver/issues/478 Change-Id: I831e2db96b092374e167c582ab1480b1831d5650
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.
Please see ceres-solver.org for more information.