Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
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88 lines
3.3 KiB
88 lines
3.3 KiB
4 years ago
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From the website for the L-BFGS-B code (from at
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http://www.ece.northwestern.edu/~nocedal/lbfgsb.html):
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"""
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L-BFGS-B is a limited-memory quasi-Newton code for bound-constrained
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optimization, i.e. for problems where the only constraints are of the
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form l<= x <= u.
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"""
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This is a Python wrapper (using F2PY) written by David M. Cooke
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<cookedm@physics.mcmaster.ca> and released as version 0.9 on April 9, 2004.
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The wrapper was slightly modified by Joonas Paalasmaa for the 3.0 version
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in March 2012.
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License of L-BFGS-B (Fortran code)
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==================================
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The version included here (in lbfgsb.f) is 3.0 (released April 25, 2011). It was
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written by Ciyou Zhu, Richard Byrd, and Jorge Nocedal <nocedal@ece.nwu.edu>. It
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carries the following condition for use:
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"""
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This software is freely available, but we expect that all publications
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describing work using this software, or all commercial products using it,
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quote at least one of the references given below. This software is released
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under the BSD License.
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References
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* R. H. Byrd, P. Lu and J. Nocedal. A Limited Memory Algorithm for Bound
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Constrained Optimization, (1995), SIAM Journal on Scientific and
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Statistical Computing, 16, 5, pp. 1190-1208.
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* C. Zhu, R. H. Byrd and J. Nocedal. L-BFGS-B: Algorithm 778: L-BFGS-B,
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FORTRAN routines for large scale bound constrained optimization (1997),
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ACM Transactions on Mathematical Software, 23, 4, pp. 550 - 560.
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* J.L. Morales and J. Nocedal. L-BFGS-B: Remark on Algorithm 778: L-BFGS-B,
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FORTRAN routines for large scale bound constrained optimization (2011),
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ACM Transactions on Mathematical Software, 38, 1.
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"""
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The Python wrapper
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==================
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This code uses F2PY (http://cens.ioc.ee/projects/f2py2e/) to generate
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the wrapper around the Fortran code.
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The Python code and wrapper are copyrighted 2004 by David M. Cooke
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<cookedm@physics.mcmaster.ca>.
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Installation
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============
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Make sure you have F2PY, scipy_distutils, and a BLAS library that
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scipy_distutils can find. Then,
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$ python setup.py build
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$ python setup.py install
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and you're done.
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Example usage
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=============
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An example of the usage is given at the bottom of the lbfgsb.py file.
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Run it with 'python lbfgsb.py'.
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License for the Python wrapper
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==============================
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Copyright (c) 2004 David M. Cooke <cookedm@physics.mcmaster.ca>
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Permission is hereby granted, free of charge, to any person obtaining a copy of
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this software and associated documentation files (the "Software"), to deal in
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the Software without restriction, including without limitation the rights to
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use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies
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of the Software, and to permit persons to whom the Software is furnished to do
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so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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