Sameer Agarwal 3e2cdca542 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
2019-05-13 10:20:50 -07:00
2013-06-24 14:28:40 -07:00
2019-04-29 09:46:33 -07:00
2019-04-29 10:59:09 -07:00
2018-09-25 10:10:39 -07:00
2018-01-15 12:23:15 +01:00
2018-04-06 16:51:14 -07:00
2018-07-10 06:16:27 +00:00
2018-07-10 06:16:27 +00:00

Build Status

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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