haskell binding to ipopt and nlopt including automatic differentiation.
a haskell binding to the nonlinear programming solver Ipopt. Bindings to NLopt are also included.
installationneeds the c library ipopt installed. Also by default a binding to nlopt is included. Nlopt by default does not include shared libraries, which seems to be needed to run things from ghci (ie. you need to
./configure --enable-sharedwhen building nlopt).
A embedded language, similar to the one provided by glpk-hs, is defined in Ipopt.NLP. The goal is to define problems at a level similar to other "algebraic modeling languages", but retain some of the safety and flexibility available in haskell. There is some overhead http://code.haskell.org/~aavogt/ipopt-hs/examples/bench.html but perhaps it is negligible for your uses.
Current limitations include:
copying in every iteration happens between between
Data.Vector.StorableandData.Vectormight be avoidable somehow. Currently it is done because AD needs a Traversable structure, but Storable vectors are not traversable. Note that there is aNumeric.AD.Mode.Forward.Doublebut as yet none for Vectors of Doublesparseness of derivatives isn't used
no binding to sensitivity parts as-implemented in ipopt