It appears that all of GSL's multidimensional root finding routines 
require that the number of constraints equals the number of variables.  
For the problems that I want to solve, this rarely is the case.  
Typically I have constraints that outnumber the variables, and it may or 
may not be the case that some of these end up being redundant (it is not 
easy for me to determine this) so the problem may be over-constrained or 
under-constrained.  Does GSL have any root finders that would be 
applicable in this case?  Currently I rely on the annealing algorithms 
but this does not find the solution very fast.

Thanks,
Dan


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