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library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization

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My issue is similar to [377](https://github.com/stevengj/nlopt/issues/377). However, the DLL files lost in his case have already been downloaded to my computer. *Dependency walker* tells me it cannot find LIBMEX.DLL, LIBMX.DLL,...

I'm trying to solve an optimization problem with an equality and an inequality constraint. The command `nloptr()` finds an optimum, however when I try to evaluate the constraints of the...

Suppose I am running a global optimizer, e.g. `NLOPT_G_MLSL`. I know I can set an algorithm with which it polishes any local minima it finds by `nlopt_opt_set_local_optimizer`. However, in the...

Looks like the fortran interfaces uses Fortran 77. From the fortran side, the compiler doesn't know the function and subroutine interfaces. So, it is really easy to call a function...

I am the new maintainer of the R wrapper `nloptr` that makes `NLopt` available to the R community. On some OS configuration, the compiler throws the following warning: ``` Found...

I've been using the MMA algorithm and so far it converges (albeit slowly) to a local minimum for my optimization problem. However, I have some questions about the implementation that...

I get an error: RuntimeError: nlopt failure File "/home/reza/anaconda3/envs/qdev/lib/python3.9/site-packages/nlopt/nlopt.py", line 334, in optimize return _nlopt.opt_optimize(self, *args) RuntimeError: nlopt failure even by setting opt.set_maxtime(-1)

I'm looking for good solvers for large-scale, sparse, possibly constrained, least squares problems, and CCSA looks to fit the bill just about perfectly, at least for problems without equality constraints....

I am using the package mainly via python API, I am wondering if there is a way I could get the Lagrangian multiplier from the `auglag()`.

enhancement

Closes #177 There's still an issue with the python wrappers. Seems to be passing the wrong number of arguments: ``` NotImplementedError: Wrong number or type of arguments for overloaded function...