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prep v0.1.2
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‎examples/AC-SA.py‎

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import numpy as np
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import tensorflow as tf
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import scipy.io
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import math
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import tensordiffeq as tdq
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import numpy as np
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from tensordiffeq.models import CollocationSolverND
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from tensordiffeq.domains import DomainND
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from tensordiffeq.boundaries import *
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Domain = DomainND(["x", "t"], time_var='t')

‎examples/AC-dist.py‎

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import numpy as np
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import os
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import tensorflow as tf
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import scipy.io
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import tensordiffeq as tdq
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import matplotlib.pyplot as plt
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from tensordiffeq.models import CollocationSolver1D
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def f_model(u_model, x, t):

‎examples/burgers.py‎

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import numpy as np
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import tensorflow as tf
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import scipy.io
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import math
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import tensordiffeq as tdq
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import numpy as np
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from tensordiffeq.models import CollocationSolverND
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from tensordiffeq.domains import DomainND
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from tensordiffeq.boundaries import *
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from tensordiffeq.boundaries import dirichletBC
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Domain = DomainND(["x", "t"], time_var='t')
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‎examples/testing.py‎

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import numpy as np
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import tensorflow as tf
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import scipy.io
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import math
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import tensordiffeq as tdq
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import numpy as np
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from tensordiffeq.models import CollocationSolverND
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# from tensordiffeq import DomainND
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from tensordiffeq.boundaries import *

‎examples/testing1D-AC.py‎

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import numpy as np
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import tensorflow as tf
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import scipy.io
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import math
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import tensordiffeq as tdq
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import numpy as np
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from tensordiffeq.models import CollocationSolverND
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from tensordiffeq.domains import DomainND
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from tensordiffeq.boundaries import *
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Domain = DomainND(["x", "t"], time_var='t')

‎examples/testing1D.py‎

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import numpy as np
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import tensorflow as tf
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import scipy.io
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import math
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import tensordiffeq as tdq
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import numpy as np
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from tensordiffeq.models import CollocationSolverND
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from tensordiffeq.domains import DomainND
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from tensordiffeq.boundaries import *
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Domain = DomainND(["x", "t"], time_var='t')

‎setup.py‎

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setuptools.setup(
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name="tensordiffeq",
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version="0.1.1",
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version="0.1.2",
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author="Levi McClenny",
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author_email="[email protected]",
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description="Distributed PDE Solver in Tensorflow",
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long_description=long_description,
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long_description_content_type="text/markdown",
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url="https://github.com/tensordiffeq/tensordiffeq",
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download_url="https://github.com/tensordiffeq/tensordiffeq/tarball/v0.1.0",
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download_url="https://github.com/tensordiffeq/tensordiffeq/tarball/v0.1.2",
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install_requires=install_requires,
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classifiers=[
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"Programming Language :: Python :: 3",

‎tensordiffeq.egg-info/PKG-INFO‎

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Author: Levi McClenny
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Author-email: [email protected]
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License: UNKNOWN
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Download-URL: https://github.com/tensordiffeq/tensordiffeq/tarball/v0.1.0
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Download-URL: https://github.com/tensordiffeq/tensordiffeq/tarball/v0.1.1
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Description:
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![TensorDiffEq logo](tdq-banner.png)
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![Docker Release](https://github.com/tensordiffeq/TensorDiffEq/workflows/Docker%20Release/badge.svg)
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![Conda Build](https://github.com/tensordiffeq/TensorDiffEq/workflows/Conda%20Build/badge.svg)
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![Package Build](https://github.com/tensordiffeq/TensorDiffEq/workflows/Package%20Build/badge.svg)
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![Package Release](https://github.com/tensordiffeq/TensorDiffEq/workflows/Package%20Release/badge.svg)
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![pypi](https://img.shields.io/pypi/v/tensordiffeq)
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![downloads](https://img.shields.io/pypi/dd/tensordiffeq)
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![python versions](https://img.shields.io/pypi/pyversions/tensordiffeq)
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- Intuitive user interface allowing for explicit definitions of variable domains,
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boundary conditions, initial conditions, and strong-form PDEs
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What makes TensorDiffEq different?
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- Completely open-source
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- [Self-Adaptive Solvers](https://arxiv.org/abs/2009.04544) for forward and inverse problems, leading to increased accuracy of the solution and stability in training, resulting in

‎tensordiffeq.egg-info/SOURCES.txt‎

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README.md
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setup.py
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tensordiffeq/__init__.py
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tensordiffeq/helpers.py
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tensordiffeq/models.py
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tensordiffeq/networks.py

‎tensordiffeq/__init__.py‎

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