nlopt
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stevengj
library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization
First of all, thanks a lot for this great library and collection of algorithms! It would be great if one could retrieve values used by the minimizer after the minimization,...
I've got a quadratic problem which occasionally simplifies to minimizing following problem with `t0` as `x[0]`, and `t1` as a constant. ``` Cost: (t1 - t0 + 150000.) ** 2....
Hi, I am currently using Nlopt in C++ for a path planning algorithm with collision constraints. It works great with a fair amount of constraints, but when I try to...
This permits slsqp to deal with the interaction between inequality constraints and soft feasibility constraints.
Hi, Thanks for your awesome repo. I compiled this project in Windows and faced bunch of issues. I tried to address them in this guide. BTW, for compiling, I had...
I've added to the mex file the binding for the vector-valued inequality and equality constraints. They are available through the opt structure (in the same way for the standard constraint...
At least for local gradient-based methods, [OpenMx](http://openmx.psyc.virginia.edu/) needs support for soft feasibility constraints expressed by returning NaN for the fit. We use these in situations where the constraint is not...
Hello, The link to download the precompiled windows buildsis down. Is it planned to be fixed? Thank you for such an amazing work!
slsqp solve huge variable(more than 500) is too slow, will be the sparse sqp supported?
The MMA algorithm no longer converges (or even progresses) after the 2.6.2 update. It just idles around the starting cost function evaluation within machine precision. The same optimization problems work...
