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توضیحات

A derivative-free solver for general nonlinear optimization

ویژگی	مقدار
سیستم عامل	-
نام فایل	cobyqa-1.0.dev1
نام	cobyqa
نسخه کتابخانه	1.0.dev1
نگهدارنده	[]
ایمیل نگهدارنده	['"Tom M. Ragonneau" <tom.ragonneau@polyu.edu.hk>']
نویسنده	-
ایمیل نویسنده	"Tom M. Ragonneau" <tom.ragonneau@polyu.edu.hk>, Zaikun Zhang <zaikun.zhang@polyu.edu.hk>
آدرس صفحه اصلی	-
آدرس اینترنتی	https://pypi.org/project/cobyqa/
مجوز	BSD 3-Clause License Copyright (c) 2021-2023, Tom M. Ragonneau and Zaikun Zhang Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

COBYQA: a derivative-free method for general nonlinear optimization ################################################################### .. image:: https://img.shields.io/github/actions/workflow/status/cobyqa/cobyqa/build.yml?logo=github&style=for-the-badge :target: https://github.com/cobyqa/cobyqa/actions/workflows/build.yml .. image:: https://img.shields.io/readthedocs/cobyqa/latest?logo=readthedocs&style=for-the-badge :target: https://www.cobyqa.com/ .. image:: https://img.shields.io/codecov/c/github/cobyqa/cobyqa?logo=codecov&style=for-the-badge :target: https://codecov.io/gh/cobyqa/cobyqa/ .. image:: https://img.shields.io/pypi/v/cobyqa?logo=pypi&style=for-the-badge :target: https://pypi.org/project/cobyqa/ .. image:: https://img.shields.io/pypi/dm/cobyqa?logo=pypi&style=for-the-badge :target: https://pypi.org/project/cobyqa/ .. image:: https://img.shields.io/pypi/pyversions/cobyqa?logo=python&style=for-the-badge :target: https://pypi.org/project/cobyqa/ .. image:: https://img.shields.io/pypi/l/cobyqa?style=for-the-badge :target: https://github.com/cobyqa/cobyqa/blob/main/LICENSE COBYQA, named after *Constrained Optimization BY Quadratic Approximations*, is a derivative-free solver for general nonlinear optimization. It can handle unconstrained, bound-constrained, linearly constrained, and nonlinearly constrained problems. It uses only function values of the objective function and nonlinear constraint functions, if any. No derivative information is needed. The current release of COBYQA is distributed under the BSD-3-Clause license. **Documentation:** https://www.cobyqa.com/ Installation ============ COBYQA can be installed on `Python 3.8 or above <https://www.python.org>`_. Dependencies ------------ The following Python packages are required by COBYQA: * `NumPy <https://www.numpy.org>`_ 1.17.0 or higher, and * `SciPy <https://www.scipy.org>`_ 1.1.0 or higher. User installation ----------------- The easiest way to install COBYQA is using ``pip`` :: python -m pip install cobyqa To check your installation, you can execute :: python -c "import cobyqa; cobyqa.show_versions()" Testing ------- To execute the test suite of COBYQA, you first need to install the package as :: python -m pip install cobyqa[tests] You can then run the test suite by executing :: python -m pytest --pyargs cobyqa Examples -------- The folder ``examples`` contains a few examples of how to use COBYQA. To run ``powell2015.py``, you first need to install the package as :: python -m pip install cobyqa[examples] This will install ``matplotlib`` alongside COBYQA. Support ======= To report a bug or request a new feature, please open a new issue using the `issue tracker <https://github.com/cobyqa/cobyqa/issues>`_.

نیازمندی

مقدار	نام
>=1.17.0	numpy
>=1.1.0	scipy
-	toml
-	argparse
-	joblib
-	matplotlib
-	pdfo
-	pycutest
-	numpydoc
-	pydata-sphinx-theme
-	sphinx
-	sphinx-design
-	sphinx-substitution-extensions
-	matplotlib
>=6.1.0	pytest
-	pytest-cov[all]

زبان مورد نیاز

مقدار	نام
>=3.8	Python

نحوه نصب

نصب پکیج whl cobyqa-1.0.dev1:

pip install cobyqa-1.0.dev1.whl

نصب پکیج tar.gz cobyqa-1.0.dev1:

pip install cobyqa-1.0.dev1.tar.gz