class Nlopt < Formula desc "Free/open-source library for nonlinear optimization" homepage "http://ab-initio.mit.edu/nlopt" url "http://ab-initio.mit.edu/nlopt/nlopt-2.4.2.tar.gz" sha256 "8099633de9d71cbc06cd435da993eb424bbcdbded8f803cdaa9fb8c6e09c8e89" revision 2 bottle do cellar :any sha256 "183d661c2b34ff468162b4bcc3bc7c287bcab47ff1bd4b902ea00fe188db1e52" => :sierra sha256 "cfb26ea39b36e9a9ad472e2600864d040f02531ba2c922798f82455a25b73a30" => :el_capitan sha256 "eed62f227cdfd93ba00d7abe061b4136945a4511d67651d0fa4aa07b196b7b7d" => :yosemite end head do url "https://github.com/stevengj/nlopt.git" depends_on "cmake" => :build depends_on "swig" => :build end depends_on "numpy" => :recommended def install ENV.deparallelize if build.head? system "cmake", ".", *std_cmake_args, "-DBUILD_MATLAB=OFF", "-DBUILD_OCTAVE=OFF", "-DWITH_CXX=ON" else system "./configure", "--prefix=#{prefix}", "--enable-shared", "--with-cxx", "--without-octave" system "make" end system "make", "install" # Create library links for C programs %w[0.dylib dylib a].each do |suffix| lib.install_symlink "#{lib}/libnlopt_cxx.#{suffix}" => "#{lib}/libnlopt.#{suffix}" end end test do # Based on http://ab-initio.mit.edu/wiki/index.php/NLopt_Tutorial#Example_in_C.2FC.2B.2B (testpath/"test.c").write <<-EOS.undent #include #include #include double myfunc(unsigned n, const double *x, double *grad, void *my_func_data) { if (grad) { grad[0] = 0.0; grad[1] = 0.5 / sqrt(x[1]); } return sqrt(x[1]); } typedef struct { double a, b; } my_constraint_data; double myconstraint(unsigned n, const double *x, double *grad, void *data) { my_constraint_data *d = (my_constraint_data *) data; double a = d->a, b = d->b; if (grad) { grad[0] = 3 * a * (a*x[0] + b) * (a*x[0] + b); grad[1] = -1.0; } return ((a*x[0] + b) * (a*x[0] + b) * (a*x[0] + b) - x[1]); } int main() { double lb[2] = { -HUGE_VAL, 0 }; /* lower bounds */ nlopt_opt opt; opt = nlopt_create(NLOPT_LD_MMA, 2); /* algorithm and dimensionality */ nlopt_set_lower_bounds(opt, lb); nlopt_set_min_objective(opt, myfunc, NULL); my_constraint_data data[2] = { {2,0}, {-1,1} }; nlopt_add_inequality_constraint(opt, myconstraint, &data[0], 1e-8); nlopt_add_inequality_constraint(opt, myconstraint, &data[1], 1e-8); nlopt_set_xtol_rel(opt, 1e-4); double x[2] = { 1.234, 5.678 }; /* some initial guess */ double minf; /* the minimum objective value, upon return */ if (nlopt_optimize(opt, x, &minf) < 0) return 1; else printf("found minimum at f(%g,%g) = %0.10g", x[0], x[1], minf); nlopt_destroy(opt); } EOS system ENV.cc, "test.c", "-o", "test", "-lnlopt", "-lm" assert_match "found minimum", shell_output("./test") end end