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<div class="moz-cite-prefix">I assume you mean convex QP. Ipopt is
fine for that. Every IPM QP solver needs the matrices you
mention, but Ipopt in its full generality makes coding a bit
trickier than it has to be.<br>
<br>
If you use it, there are options you might want to set:<br>
hessian_constant='yes';<br>
jac_c_constant='yes';<br>
jac_d_constant='yes';<br>
mehrotra_algorithm = 'yes';<br>
<br>
If you have a Matlab optimization toolbox license, the quadprog
interior-point-convex algorithm is a good choice.<br>
<br>
<br>
On 02/07/2013 08:58 AM, Antonello Lobianco wrote:<br>
</div>
<blockquote
cite="mid:CAOibvJEWJB5TtJ0fy9T38nMqGNvVACMVS-ca0_=mpDXX8qVkvQ@mail.gmail.com"
type="cite">Hello.. I use normally ipopt but for a project I need
a solver for a Quadratic Problem (so I don't need to pass all the
extra-information for general nonlinear programming.. hessian,
jacobian..)<br>
<br>
For LP I use GLPK, but I am now lost on what to use for QP..
within the COIN-OR projects I can see Clp, but from the manual I
got that QP is not at his core...<br>
Then I found JOptimizer, but again I have no idea of the
performances nor how it will be easy to link a java program from a
C++ program (I never used Java)..<br>
<br>
Any suggestions? I would prefer to find an open source fast QP
solver working on Linux/Win (MinGW).<br>
Thank you...<br clear="all">
<br>
-- <br>
Antonello Lobianco<br>
INRA, Laboratoire d'Economie Forestière<br>
14 Rue Girardet - 54000 Nancy, France<br>
Tel: +33.652392310<br>
Email: <a moz-do-not-send="true"
href="mailto:antonello.lobianco@nancy-engref.inra.fr"
target="_blank">antonello.lobianco@nancy-engref.inra.fr</a><br>
<a moz-do-not-send="true" href="http://antonello.lobianco.org/"
target="_blank">http://antonello.lobianco.org</a>
<br>
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