欧拉公式求圆周率的matlab代码-PyDDM:适用于Python3的漂移扩散建模（DDM）框架

# PyDDM - A drift-diffusion model simulator [](https://travis-ci.com/mwshinn/PyDDM) # Overview PyDDM is a simulator and modeling framework for drift-diffusion models (DDM), with a focus on cognitive neuroscience. Key features include: - Models solved numerically using Crank-Nicolson to solve the Fokker-Planck equation (Backward Euler, analytical solutions, and particle simulations also available) - Arbitrary functions for drift rate, noise, bounds, and initial position distribution - Arbitrary loss function and fitting method for parameter fitting - Optional multiprocessor support - Optional GUI for debugging and gaining an intuition for different models - Convenient and extensible object oriented API allows building models in a component-wise fashion - Verified accuracy of simulations using novel program verification techniques See the [documentation](https://pyddm.readthedocs.io/en/latest/index.html), [FAQs](https://pyddm.readthedocs.io/en/latest/faqs.html), or [tutorial](https://pyddm.readthedocs.io/en/latest/quickstart.html) for more information. See the [Github Forums](https://github.com/mwshinn/PyDDM/discussions) for help from the PyDDM community. You can also sign up for [release announcements by email](https://www.freelists.org/list/pyddm-announce). Please note that PyDDM is still beta software so you may experience some glitches or uninformative error messages. ## Installation Normally, you can install with: $ pip install pyddm If you are in a shared environment (e.g. a cluster), install with: $ pip install pyddm --user If installing from source, [download the source code](https://github.com/mwshinn/PyDDM), extract, and do: $ python3 setup.py install ## System requirements - Python 3.5 or above - Numpy version 1.9.2 or higher - Scipy version 0.15.1 or higher - Matplotlib - [Paranoid Scientist](<https://github.com/mwshinn/paranoidscientist>) - Pathos (optional, for multiprocessing support) ## Contact For help on using PyDDM, see the [Github Forums](https://github.com/mwshinn/PyDDM/discussions). Please report bugs to <https://github.com/mwshinn/pyddm/issues>. This includes any problems with the documentation. Pull Requests for bugs are greatly appreciated. Feature requests are currently not being accepted due to limited resources. If you implement a new feature in PyDDM, please do the following before submitting a Pull Request on Github: - Make sure your code is clean and well commented - If appropriate, update the official documentation in the docs/ directory - Ensure there are Paranoid Scientist verification conditions to your code - Write unit tests and optionally integration tests for your new feature (runtests.sh) - Ensure all existing tests pass For all other questions or comments, contact maxwell.shinn@yale.edu. ## License All code is available under the MIT license. See LICENSE.txt for more information.