https://bugzilla.redhat.com/show_bug.cgi?id=2425618

            Bug ID: 2425618
           Summary: Review Request: ceres-solver - A non-linear least
                    squares minimizer
           Product: Fedora
           Version: rawhide
          Hardware: All
                OS: Linux
            Status: NEW
         Component: Package Review
          Severity: medium
          Assignee: [email protected]
          Reporter: [email protected]
        QA Contact: [email protected]
                CC: [email protected]
  Target Milestone: ---
    Classification: Fedora



I would like to become the package maintainer  for the orphaned ceres-solver
package.

I'm not yet a package maintainer so as indicated in the official documentation
I'm opening a review like a new package.

Spec URL:
https://src.fedoraproject.org/rpms/ceres-solver/blob/rawhide/f/ceres-solver.spec

SRPM URL:
https://kojipkgs.fedoraproject.org//packages/ceres-solver/2.2.0/7.fc43/src/ceres-solver-2.2.0-7.fc43.src.rpm

Description: 
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. Notable use of Ceres Solver is for the image alignment in
Google Maps and for vehicle pose in Google Street View. Ceres Solver
can solve two kinds of problems.

  1. Non-linear Least Squares problems with bounds constraints.
  2. General unconstrained optimization problems.

Features include:

  - A friendly API: build your objective function one term at a time
  - Automatic and numeric differentiation
  - Robust loss functions
  - Local parameterizations
  - Threaded Jacobian evaluators and linear solvers
  - Trust region solvers with non-monotonic steps (Levenberg-Marquardt and
    Dogleg (Powell & Subspace))
  - Line search solvers (L-BFGS and Nonlinear CG)
  - Dense QR and Cholesky factorization (using Eigen) for small problems
  - Sparse Cholesky factorization (using SuiteSparse) for large sparse problems
  - Specialized solvers for bundle adjustment problems in computer vision
  - Iterative linear solvers for general sparse and bundle adjustment problems
  - Runs on Linux, Windows, Mac OS X, Android, and iOS

Fedora Account System Username:


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