|author||Sameer Agarwal <email@example.com>||Mon May 13 10:20:50 2019 -0700|
|committer||Sameer Agarwal <firstname.lastname@example.org>||Mon May 13 10:20:50 2019 -0700|
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.