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Author:
Aleksei G Sorokin, Fred Hickernell, Sou-Cheng T. Choi, Jagadeeswaran Rathinavel, Mike McCourt
Summary:
Quasi-Monte Carlo point generators, automatic transformations, and adaptive stopping criteria
Latest version:
2.1
Required dependencies:
numpy
|
qmctoolscl
|
scipy
Optional dependencies:
arviz
|
botorch
|
gpytorch
|
graphviz
|
ipykernel
|
ipynbname
|
ipywidgets
|
jupyterlab
|
jupyterlab_execute_time
|
matplotlib
|
mkdocs
|
mkdocs-exclude
|
mkdocs-glightbox
|
mkdocs-jupyter
|
mkdocs-material
|
mkdocs-print-site-plugin
|
mkdocs-with-pdf
|
mkdocstrings-python
|
mkpdfs-mkdocs
|
nbval
|
networkx
|
pandas
|
parsl
|
phmutest
|
plotly
|
psutil
|
pylint
|
pytest
|
pytest-accept
|
pytest-cov
|
qmcpy
|
scikit-learn
|
scikit-optimize
|
seaborn
|
statsmodels
|
sympy
|
testbook
|
torch
|
tqdm
|
tueplots
|
umbridge
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