[Scipy-tickets] [SciPy] #1788: calling scipy.optimize.minimize with a sparse jacobian fails

SciPy Trac scipy-tickets@scipy....
Fri Dec 14 18:02:12 CST 2012


#1788: calling scipy.optimize.minimize with a sparse jacobian fails
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  Reporter:  furiousd        |       Owner:  dlaxalde   
      Type:  defect          |      Status:  closed     
  Priority:  normal          |   Milestone:  Unscheduled
 Component:  scipy.optimize  |     Version:  0.11.0     
Resolution:  invalid         |    Keywords:             
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Changes (by pv):

  * status:  new => closed
  * resolution:  => invalid


Comment:

 At the moment Scipy does not have useful solvers for large-scale root
 finding problems with known  Jacobians. The existing solves are dense-
 matrix routines from MINPACK.

 Though, in principle there is also an implementation for inexact Newton
 method already there, but with a known Jacobian, a trust region based
 method would probably be more reliable. (Although for completely matrix-
 free problems, inexact Newton-Krylov is probably reasonable.)

 I'm closing this ticket --- and opened a reminder at #1790

-- 
Ticket URL: <http://projects.scipy.org/scipy/ticket/1788#comment:2>
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