Bayesian-Optimization / nlopt2 / README

Full commit
NLopt is a library for nonlinear local and global optimization, for
functions with and without gradient information.  It is designed as
as simple, unified interface and packaging of several free/open-source
nonlinear optimization libraries.

The latest release and a complete manual may be found at the NLopt
home page:

It is compiled and installed with the standard GNU autoconf/automake

    make install

See `./configure --help` or the `INSTALL` file for other options.  To
build the latest development sources:

    git clone git://
    cd nlopt

(To build from git, you will need GNU autoconf, automake, and libtool
installed, along with SWIG and Unix tools such as m4, perl, and sed.)

Once it is installed, `#include <nlopt.h>` in your C/C++ programs and
link it with `-lnlopt -lm`.  You may need to use the C++ compiler to link
in order to include the C++ libraries (which are used internally by NLopt,
even though it has a C API).

The minimization function, `nlopt_minimize`, is described in the [man
page]( (`api/nlopt_minimize.3`,
which is installed by `make install`.  See also the manual on our
web page.

There are also interfaces for Fortran, Python, Matlab, Octave, OCaml,
GNU Guile, GNU R, Lua, and Julia.  Interfaces for other languages may
be added in the future.