pyopt.org

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You can get the latest release ( version 1.2. From the Download Area. You can open a ticket at the pyOpt Tracker. Or contact the developers. Enter search terms or a module, class or function name. PyOpt is a Python-based package for formulating and solving nonlinear constrained optimization problems in an efficient, reusable and portable manner. PyOpt is an open-source. Software distributed under the tems of the GNU Lesser General Public License. Samples of code functionality.

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You can get the latest release ( version 1.2. From the Download Area. You can open a ticket at the pyOpt Tracker. Or contact the developers. Enter search terms or a module, class or function name. PyOpt is a Python-based package for formulating and solving nonlinear constrained optimization problems in an efficient, reusable and portable manner. PyOpt is an open-source. Software distributed under the tems of the GNU Lesser General Public License. Samples of code functionality.

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pyOpt | pyopt.org Reviews

https://pyopt.org

You can get the latest release ( version 1.2. From the Download Area. You can open a ticket at the pyOpt Tracker. Or contact the developers. Enter search terms or a module, class or function name. PyOpt is a Python-based package for formulating and solving nonlinear constrained optimization problems in an efficient, reusable and portable manner. PyOpt is an open-source. Software distributed under the tems of the GNU Lesser General Public License. Samples of code functionality.

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pyopt.org

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Python Module Index — pyOpt

http://www.pyopt.org/py-modindex.html

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Examples — pyOpt

http://www.pyopt.org/examples/examples.html

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Quickguide — pyOpt

http://www.pyopt.org/quickguide/index.html

PyOpt Quick Reference Guide. Enter search terms or a module, class or function name. PyOpt Quick Reference Guide. Now that you have an idea of what the pyOpt package provides, you should investigate the parts of the package most useful for you. Provides additional details on pyOpt. Provides some example programs showing some of the features of pyOpt described in the quickguide.

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Reference — pyOpt

http://www.pyopt.org/reference/index.html

PyOpt Quick Reference Guide. Enter search terms or a module, class or function name. July 31, 2014. SNOPT - Sparse NOlinear OPTimizer. NLPQL - Non-Linear Programming by Quadratic Lagrangian. NLPQLP - NonLinear Programming with Non-Monotone and Distributed Line Search. FSQP - Feasible Sequential Quadratic Programming. SLSQP - Sequential Least Squares Programming. PSQP - Preconditioned Sequential Quadratic Programming. ALGENCAN - Augmented Lagrangian with GENCAN. MMA - Method of Moving Asymptotes.

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pyOpt

http://www.pyopt.org/index.html

You can get the latest release ( version 1.2. From the Download Area. You can open a ticket at the pyOpt Tracker. Or contact the developers. Enter search terms or a module, class or function name. PyOpt is a Python-based package for formulating and solving nonlinear constrained optimization problems in an efficient, reusable and portable manner. PyOpt is an open-source. Software distributed under the tems of the GNU Lesser General Public License. Samples of code functionality.

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pyopt.org

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You can get the latest release ( version 1.2. From the Download Area. You can open a ticket at the pyOpt Tracker. Or contact the developers. Enter search terms or a module, class or function name. PyOpt is a Python-based package for formulating and solving nonlinear constrained optimization problems in an efficient, reusable and portable manner. PyOpt is an open-source. Software distributed under the tems of the GNU Lesser General Public License. Samples of code functionality.

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