[Ipopt-tickets] [Ipopt] #114: Assertion failure: HaveAffineDeltas false in ComputeSearchDirection

[Ipopt]

#114: Assertion failure: HaveAffineDeltas false in ComputeSearchDirection
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Reporter:  guest              |       Owner:  andreasw
    Type:  defect             |      Status:  new     
Priority:  normal             |   Component:  Ipopt   
 Version:  3.8 (C++ Version)  |    Severity:  normal  
Keywords:                     |  
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Comment(by andreasw):

 (this was sent to Ipopt-tickets at list.coin-or.org)

 {{{
 Hi,No problem about taking a while to reply - I guess you have many other
 things to do.

 I'm afraid I'm restricted in what I can say due to non-disclosure
 restrictions, but I'll tell
 you what I can, and what I can recall - we've been using a work-around for
 some time, changing
 line 82 of IpPDSearchDirCalc.cpp to check �HaveAffineDeltas(); my
 understanding of what was in
 that branch of the if statement was that it was an optimisation, so could
 be excluded.

 We have written a program which uses Ipopt from C++, so I can't give you
 an AMPL example. The
 problem in question is a quadratic problem with linear constraints, and we
 use the mumps
 solver. I believe it occurred when the problem happened to only have a
 single feasible solution
 - all the variables are constrained to zero.

 I've set the following options:
 jac_c_constant�yes
 jac_d_constant�yes
 hessian_constant�yes
 mehrotra_algorithm�yes
 and the following ones which I assume will make little difference:
 print_level to 12
 check_derivatives_for_naninf
 derivative_test to second_order
 print_timing_statistics yes

 I hope this helps, if I can do anything else just drop me a mail - I can
 reproduce it here,
 Dave.

 PS Are you aware that the "function evaluation" timing statistics appear
 not to reset between
 runs, whereas the others do, leading to some slightly confusing output.
 }}}

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Ticket URL: <https://projects.coin-or.org/Ipopt/ticket/114#comment:2>
Ipopt <http://projects.coin-or.org/Ipopt>
Interior-point optimizer for nonlinear programs.