Sameer Agarwal 1182fc2884 SPARSE_SCHUR + CX_SPARSE = Faster
There was a bug in the trust region preprocessor where no fill
reducing ordering was computed for the case of SPARSE_SCHUR + CX_SPARSE
but this was not signaled to SchurComplementSolver, so it was using
a naive/natural ordering. To fix this two changes are made:

1. TrustRegionProcessor's logic for signaling the ordering to the
   linear solver has been re-worked. The surrounding code has also
   been re-organized for better readability.
2. In SchurComplementSolver::SolveReducedSystem the row and column
   block structure has been added to the CompressedRowSparseMatrix
   containing the Schur complement so that block AMD can be used.

As a result of these changes the linear solve time for
problem-744-543562-pre.txt has been brought down from 58 seconds to
35 seconds.

Change-Id: I4d82efce05175260f97b1f925f8a1b4a9d650cae
2017-06-20 09:13:02 -07:00
2013-06-24 14:28:40 -07:00
2017-04-25 01:32:31 +00:00
2017-06-01 20:50:37 -07:00
2013-02-24 19:04:21 +00:00
2016-10-13 09:35:18 -07:00
2016-03-07 09:33:07 -08:00

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.

WARNING - Do not make GitHub pull requests!

Ceres development happens on Gerrit, including both repository hosting and code reviews. The GitHub Repository is a continuously updated mirror which is primarily meant for issue tracking. Please see our Contributing to Ceres Guide for more details.

The upstream Gerrit repository is

https://ceres-solver.googlesource.com/ceres-solver
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