From: Steven G. Johnson <stevenj@alum.mit.edu>
Date: Thu, 26 Jul 2018 14:39:50 +0000 (-0400)
Subject: add missing README and COPYRIGHT files from #194
X-Git-Url: http://www.chiark.greenend.org.uk/ucgi/~ianmdlvl/git?a=commitdiff_plain;h=174ed187765930ae602cada903232844e346d8a6;hp=eab47e7252fe5d3736d3468fb69af06edfce57e3;p=nlopt.git

add missing README and COPYRIGHT files from #194
---

diff --git a/src/algs/ags/COPYRIGHT b/src/algs/ags/COPYRIGHT
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index 0000000..67f9726
--- /dev/null
+++ b/src/algs/ags/COPYRIGHT
@@ -0,0 +1,21 @@
+The MIT License (MIT)
+
+Copyright (c) 2018 Sovrasov V.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/src/algs/ags/README b/src/algs/ags/README
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index 0000000..a1b06b7
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+++ b/src/algs/ags/README
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+An implementation of the algorithm AGS to solve constrained nonlinear
+programming problems with Lipschitzian functions. AGS was introduced
+by prof. R.G. Strongin (see R. G. Strongin, D. L. Markin,
+,Minimization of multiextremal functions under nonconvex constraints,
+Cybernetics 22(4), 486-493. Translated from Russian. Consultant
+Bureau. New York, 1986.). The method exploits Peano-type curve to
+reduce dimension of the source bounded multidimensional constrained
+NLP problem and then solves a univariate one.
+
+AGS is proven to converge to a global optima if all objectives and
+constraints satisfy Lipschitz condition in a given hyperrectangle, the
+reliability parameter r is large enough and accuracy parameter eps is
+zero.
+
+Contributed to NLopt by Vladislav Sovrasov from
+
+            https://github.com/sovrasov/glob_search_nlp_solver
\ No newline at end of file