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Title: Regularized OT with generic solver — POT Python Optimal Transport 0.9.6 documentation

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POT Python Optimal Transport https://pythonot.github.io/index.html
POT: Python Optimal Transporthttps://pythonot.github.io/index.html
Quickstart Guidehttps://pythonot.github.io/auto_examples/plot_quickstart_guide.html
Examples galleryhttps://pythonot.github.io/auto_examples/index.html
OT and regularized OThttps://pythonot.github.io/auto_examples/index.html#ot-and-regularized-ot
Introduction to Optimal Transport with Pythonhttps://pythonot.github.io/auto_examples/plot_Intro_OT.html
Optimal Transport for fixed supporthttps://pythonot.github.io/auto_examples/plot_OT_1D.html
Optimal Transport between empirical distributionshttps://pythonot.github.io/auto_examples/plot_OT_2D_samples.html
Optimal Transport with different ground metricshttps://pythonot.github.io/auto_examples/plot_OT_L1_vs_L2.html
Geometry of OT distanceshttps://pythonot.github.io/auto_examples/plot_compute_emd.html
Regularized OT with generic solverhttps://pythonot.github.io/auto_examples/plot_optim_OTreg.html
Generate datahttps://pythonot.github.io/auto_examples/plot_optim_OTreg.html#generate-data
Solve EMDhttps://pythonot.github.io/auto_examples/plot_optim_OTreg.html#solve-emd
Solve EMD with Frobenius norm regularizationhttps://pythonot.github.io/auto_examples/plot_optim_OTreg.html#solve-emd-with-frobenius-norm-regularization
Solve EMD with entropic regularizationhttps://pythonot.github.io/auto_examples/plot_optim_OTreg.html#solve-emd-with-entropic-regularization
Solve EMD with Frobenius norm + entropic regularizationhttps://pythonot.github.io/auto_examples/plot_optim_OTreg.html#solve-emd-with-frobenius-norm-entropic-regularization
Quickstart Guidehttps://pythonot.github.io/auto_examples/plot_quickstart_guide.html
Optimal Transport solvers comparisonhttps://pythonot.github.io/auto_examples/plot_solve_variants.html
Differentiable OT with PyTorchhttps://pythonot.github.io/auto_examples/index.html#differentiable-ot-with-pytorch
Gromov-Wasserstein (GW) and Fused GWhttps://pythonot.github.io/auto_examples/index.html#gromov-wasserstein-gw-and-fused-gw
Unbalanced and Partial OThttps://pythonot.github.io/auto_examples/index.html#unbalanced-and-partial-ot
OT in 1D and Sliced Wassersteinhttps://pythonot.github.io/auto_examples/index.html#ot-in-1d-and-sliced-wasserstein
OT on Gaussian and Gaussian Mixture Modelshttps://pythonot.github.io/auto_examples/index.html#ot-on-gaussian-and-gaussian-mixture-models
Factored an Low-Rank OThttps://pythonot.github.io/auto_examples/index.html#factored-an-low-rank-ot
Wasserstein and (F)GW barycentershttps://pythonot.github.io/auto_examples/index.html#wasserstein-and-f-gw-barycenters
Domain adaptation with OThttps://pythonot.github.io/auto_examples/index.html#domain-adaptation-with-ot
Other OT problemshttps://pythonot.github.io/auto_examples/index.html#other-ot-problems
User guidehttps://pythonot.github.io/user_guide.html
API and moduleshttps://pythonot.github.io/all.html
Releaseshttps://pythonot.github.io/releases.html
Contributorshttps://pythonot.github.io/contributors.html
Contributing to POThttps://pythonot.github.io/contributing.html
Code of conducthttps://pythonot.github.io/code_of_conduct.html
POT Python Optimal Transporthttps://pythonot.github.io/index.html
https://pythonot.github.io/index.html
Examples galleryhttps://pythonot.github.io/auto_examples/index.html
View page sourcehttps://pythonot.github.io/_sources/auto_examples/plot_optim_OTreg.rst.txt
Go to the endhttps://pythonot.github.io/auto_examples/plot_optim_OTreg.html#sphx-glr-download-auto-examples-plot-optim-otreg-py
https://pythonot.github.io/auto_examples/plot_optim_OTreg.html#regularized-ot-with-generic-solver
https://pythonot.github.io/auto_examples/plot_optim_OTreg.html#generate-data
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np.float64https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.float64
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ot.datasets.make_1D_gausshttps://pythonot.github.io/gen_modules/ot.datasets.html#id0
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https://pythonot.github.io/auto_examples/plot_optim_OTreg.html#solve-emd
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https://pythonot.github.io/auto_examples/plot_optim_OTreg.html#solve-emd-with-entropic-regularization
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https://pythonot.github.io/auto_examples/plot_optim_OTreg.html#solve-emd-with-frobenius-norm-entropic-regularization
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reg2https://docs.python.org/3/library/functions.html#float
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ot.optim.gcghttps://pythonot.github.io/gen_modules/ot.optim.html#id22
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Gel2https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray
nvisuhttps://docs.python.org/3/library/functions.html#int
Download Jupyter notebook: plot_optim_OTreg.ipynbhttps://pythonot.github.io/_downloads/3b188cf80024c7a0c1f5114b0a1c3333/plot_optim_OTreg.ipynb
Download Python source code: plot_optim_OTreg.pyhttps://pythonot.github.io/_downloads/8c4d93e9c1336795561a5b0102d03c57/plot_optim_OTreg.py
Download zipped: plot_optim_OTreg.ziphttps://pythonot.github.io/_downloads/4bf5b36d4750ccf400a6581dc9be238b/plot_optim_OTreg.zip
Gallery generated by Sphinx-Galleryhttps://sphinx-gallery.github.io
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Releasehttps://pythonot.github.io/
Developmenthttps://pythonot.github.io/master
Codehttps://github.com/PythonOT/POT

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