From e458b7a58d9790e7c5ff40dea235402d9c4c8662 Mon Sep 17 00:00:00 2001 From: Rémi Flamary Date: Fri, 2 Dec 2016 15:38:59 +0100 Subject: add doc for gallery --- docs/source/auto_examples/plot_optim_OTreg.rst | 583 +++++++++++++++++++++++++ 1 file changed, 583 insertions(+) create mode 100644 docs/source/auto_examples/plot_optim_OTreg.rst (limited to 'docs/source/auto_examples/plot_optim_OTreg.rst') diff --git a/docs/source/auto_examples/plot_optim_OTreg.rst b/docs/source/auto_examples/plot_optim_OTreg.rst new file mode 100644 index 0000000..d6397ba --- /dev/null +++ b/docs/source/auto_examples/plot_optim_OTreg.rst @@ -0,0 +1,583 @@ + + +.. _sphx_glr_auto_examples_plot_optim_OTreg.py: + + +================================== +Regularized OT with generic solver +================================== + + + + + + +.. rst-class:: sphx-glr-horizontal + + + * + + .. image:: /auto_examples/images/sphx_glr_plot_optim_OTreg_003.png + :scale: 47 + + * + + .. image:: /auto_examples/images/sphx_glr_plot_optim_OTreg_004.png + :scale: 47 + + * + + .. image:: /auto_examples/images/sphx_glr_plot_optim_OTreg_005.png + :scale: 47 + + +.. rst-class:: sphx-glr-script-out + + Out:: + + It. |Loss |Delta loss + -------------------------------- + 0|1.760578e-01|0.000000e+00 + 1|1.669467e-01|-5.457501e-02 + 2|1.665639e-01|-2.298130e-03 + 3|1.664378e-01|-7.572776e-04 + 4|1.664077e-01|-1.811855e-04 + 5|1.663912e-01|-9.936787e-05 + 6|1.663852e-01|-3.555826e-05 + 7|1.663814e-01|-2.305693e-05 + 8|1.663785e-01|-1.760450e-05 + 9|1.663767e-01|-1.078011e-05 + 10|1.663751e-01|-9.525192e-06 + 11|1.663737e-01|-8.396466e-06 + 12|1.663727e-01|-6.086938e-06 + 13|1.663720e-01|-4.042609e-06 + 14|1.663713e-01|-4.160914e-06 + 15|1.663707e-01|-3.823502e-06 + 16|1.663702e-01|-3.022440e-06 + 17|1.663697e-01|-3.181249e-06 + 18|1.663692e-01|-2.698532e-06 + 19|1.663687e-01|-3.258253e-06 + It. |Loss |Delta loss + -------------------------------- + 20|1.663682e-01|-2.741118e-06 + 21|1.663678e-01|-2.624135e-06 + 22|1.663673e-01|-2.645179e-06 + 23|1.663670e-01|-1.957237e-06 + 24|1.663666e-01|-2.261541e-06 + 25|1.663663e-01|-1.851305e-06 + 26|1.663660e-01|-1.942296e-06 + 27|1.663657e-01|-2.092896e-06 + 28|1.663653e-01|-1.924361e-06 + 29|1.663651e-01|-1.625455e-06 + 30|1.663648e-01|-1.641123e-06 + 31|1.663645e-01|-1.566666e-06 + 32|1.663643e-01|-1.338514e-06 + 33|1.663641e-01|-1.222711e-06 + 34|1.663639e-01|-1.221805e-06 + 35|1.663637e-01|-1.440781e-06 + 36|1.663634e-01|-1.520091e-06 + 37|1.663632e-01|-1.288193e-06 + 38|1.663630e-01|-1.123055e-06 + 39|1.663628e-01|-1.024487e-06 + It. |Loss |Delta loss + -------------------------------- + 40|1.663627e-01|-1.079606e-06 + 41|1.663625e-01|-1.172093e-06 + 42|1.663623e-01|-1.047880e-06 + 43|1.663621e-01|-1.010577e-06 + 44|1.663619e-01|-1.064438e-06 + 45|1.663618e-01|-9.882375e-07 + 46|1.663616e-01|-8.532647e-07 + 47|1.663615e-01|-9.930189e-07 + 48|1.663613e-01|-8.728955e-07 + 49|1.663612e-01|-9.524214e-07 + 50|1.663610e-01|-9.088418e-07 + 51|1.663609e-01|-7.639430e-07 + 52|1.663608e-01|-6.662611e-07 + 53|1.663607e-01|-7.133700e-07 + 54|1.663605e-01|-7.648141e-07 + 55|1.663604e-01|-6.557516e-07 + 56|1.663603e-01|-7.304213e-07 + 57|1.663602e-01|-6.353809e-07 + 58|1.663601e-01|-7.968279e-07 + 59|1.663600e-01|-6.367159e-07 + It. |Loss |Delta loss + -------------------------------- + 60|1.663599e-01|-5.610790e-07 + 61|1.663598e-01|-5.787466e-07 + 62|1.663596e-01|-6.937777e-07 + 63|1.663596e-01|-5.599432e-07 + 64|1.663595e-01|-5.813048e-07 + 65|1.663594e-01|-5.724600e-07 + 66|1.663593e-01|-6.081892e-07 + 67|1.663592e-01|-5.948732e-07 + 68|1.663591e-01|-4.941833e-07 + 69|1.663590e-01|-5.213739e-07 + 70|1.663589e-01|-5.127355e-07 + 71|1.663588e-01|-4.349251e-07 + 72|1.663588e-01|-5.007084e-07 + 73|1.663587e-01|-4.880265e-07 + 74|1.663586e-01|-4.931950e-07 + 75|1.663585e-01|-4.981309e-07 + 76|1.663584e-01|-3.952959e-07 + 77|1.663584e-01|-4.544857e-07 + 78|1.663583e-01|-4.237579e-07 + 79|1.663582e-01|-4.382386e-07 + It. |Loss |Delta loss + -------------------------------- + 80|1.663582e-01|-3.646051e-07 + 81|1.663581e-01|-4.197994e-07 + 82|1.663580e-01|-4.072764e-07 + 83|1.663580e-01|-3.994645e-07 + 84|1.663579e-01|-4.842721e-07 + 85|1.663578e-01|-3.276486e-07 + 86|1.663578e-01|-3.737346e-07 + 87|1.663577e-01|-4.282043e-07 + 88|1.663576e-01|-4.020937e-07 + 89|1.663576e-01|-3.431951e-07 + 90|1.663575e-01|-3.052335e-07 + 91|1.663575e-01|-3.500538e-07 + 92|1.663574e-01|-3.063176e-07 + 93|1.663573e-01|-3.576367e-07 + 94|1.663573e-01|-3.224681e-07 + 95|1.663572e-01|-3.673221e-07 + 96|1.663572e-01|-3.635561e-07 + 97|1.663571e-01|-3.527236e-07 + 98|1.663571e-01|-2.788548e-07 + 99|1.663570e-01|-2.727141e-07 + It. |Loss |Delta loss + -------------------------------- + 100|1.663570e-01|-3.127278e-07 + 101|1.663569e-01|-2.637504e-07 + 102|1.663569e-01|-2.922750e-07 + 103|1.663568e-01|-3.076454e-07 + 104|1.663568e-01|-2.911509e-07 + 105|1.663567e-01|-2.403398e-07 + 106|1.663567e-01|-2.439790e-07 + 107|1.663567e-01|-2.634542e-07 + 108|1.663566e-01|-2.452203e-07 + 109|1.663566e-01|-2.852991e-07 + 110|1.663565e-01|-2.165490e-07 + 111|1.663565e-01|-2.450250e-07 + 112|1.663564e-01|-2.685294e-07 + 113|1.663564e-01|-2.821800e-07 + 114|1.663564e-01|-2.237390e-07 + 115|1.663563e-01|-1.992842e-07 + 116|1.663563e-01|-2.166739e-07 + 117|1.663563e-01|-2.086064e-07 + 118|1.663562e-01|-2.435945e-07 + 119|1.663562e-01|-2.292497e-07 + It. |Loss |Delta loss + -------------------------------- + 120|1.663561e-01|-2.366209e-07 + 121|1.663561e-01|-2.138746e-07 + 122|1.663561e-01|-2.009637e-07 + 123|1.663560e-01|-2.386258e-07 + 124|1.663560e-01|-1.927442e-07 + 125|1.663560e-01|-2.081681e-07 + 126|1.663559e-01|-1.759123e-07 + 127|1.663559e-01|-1.890771e-07 + 128|1.663559e-01|-1.971315e-07 + 129|1.663558e-01|-2.101983e-07 + 130|1.663558e-01|-2.035645e-07 + 131|1.663558e-01|-1.984492e-07 + 132|1.663557e-01|-1.849064e-07 + 133|1.663557e-01|-1.795703e-07 + 134|1.663557e-01|-1.624087e-07 + 135|1.663557e-01|-1.689557e-07 + 136|1.663556e-01|-1.644308e-07 + 137|1.663556e-01|-1.618007e-07 + 138|1.663556e-01|-1.483013e-07 + 139|1.663555e-01|-1.708771e-07 + It. |Loss |Delta loss + -------------------------------- + 140|1.663555e-01|-2.013847e-07 + 141|1.663555e-01|-1.721217e-07 + 142|1.663554e-01|-2.027911e-07 + 143|1.663554e-01|-1.764565e-07 + 144|1.663554e-01|-1.677151e-07 + 145|1.663554e-01|-1.351982e-07 + 146|1.663553e-01|-1.423360e-07 + 147|1.663553e-01|-1.541112e-07 + 148|1.663553e-01|-1.491601e-07 + 149|1.663553e-01|-1.466407e-07 + 150|1.663552e-01|-1.801524e-07 + 151|1.663552e-01|-1.714107e-07 + 152|1.663552e-01|-1.491257e-07 + 153|1.663552e-01|-1.513799e-07 + 154|1.663551e-01|-1.354539e-07 + 155|1.663551e-01|-1.233818e-07 + 156|1.663551e-01|-1.576219e-07 + 157|1.663551e-01|-1.452791e-07 + 158|1.663550e-01|-1.262867e-07 + 159|1.663550e-01|-1.316379e-07 + It. |Loss |Delta loss + -------------------------------- + 160|1.663550e-01|-1.295447e-07 + 161|1.663550e-01|-1.283286e-07 + 162|1.663550e-01|-1.569222e-07 + 163|1.663549e-01|-1.172942e-07 + 164|1.663549e-01|-1.399809e-07 + 165|1.663549e-01|-1.229432e-07 + 166|1.663549e-01|-1.326191e-07 + 167|1.663548e-01|-1.209694e-07 + 168|1.663548e-01|-1.372136e-07 + 169|1.663548e-01|-1.338395e-07 + 170|1.663548e-01|-1.416497e-07 + 171|1.663548e-01|-1.298576e-07 + 172|1.663547e-01|-1.190590e-07 + 173|1.663547e-01|-1.167083e-07 + 174|1.663547e-01|-1.069425e-07 + 175|1.663547e-01|-1.217780e-07 + 176|1.663547e-01|-1.140754e-07 + 177|1.663546e-01|-1.160707e-07 + 178|1.663546e-01|-1.101798e-07 + 179|1.663546e-01|-1.114904e-07 + It. |Loss |Delta loss + -------------------------------- + 180|1.663546e-01|-1.064022e-07 + 181|1.663546e-01|-9.258231e-08 + 182|1.663546e-01|-1.213120e-07 + 183|1.663545e-01|-1.164296e-07 + 184|1.663545e-01|-1.188762e-07 + 185|1.663545e-01|-9.394153e-08 + 186|1.663545e-01|-1.028656e-07 + 187|1.663545e-01|-1.115348e-07 + 188|1.663544e-01|-9.768310e-08 + 189|1.663544e-01|-1.021806e-07 + 190|1.663544e-01|-1.086303e-07 + 191|1.663544e-01|-9.879008e-08 + 192|1.663544e-01|-1.050210e-07 + 193|1.663544e-01|-1.002463e-07 + 194|1.663543e-01|-1.062747e-07 + 195|1.663543e-01|-9.348538e-08 + 196|1.663543e-01|-7.992512e-08 + 197|1.663543e-01|-9.558020e-08 + 198|1.663543e-01|-9.993772e-08 + 199|1.663543e-01|-8.588499e-08 + It. |Loss |Delta loss + -------------------------------- + 200|1.663543e-01|-8.737134e-08 + It. |Loss |Delta loss + -------------------------------- + 0|1.692289e-01|0.000000e+00 + 1|1.617643e-01|-4.614437e-02 + 2|1.612546e-01|-3.161037e-03 + 3|1.611040e-01|-9.349544e-04 + 4|1.610346e-01|-4.310179e-04 + 5|1.610072e-01|-1.701719e-04 + 6|1.609947e-01|-7.759814e-05 + 7|1.609934e-01|-7.941439e-06 + 8|1.609841e-01|-5.797180e-05 + 9|1.609838e-01|-1.559407e-06 + 10|1.609685e-01|-9.530282e-05 + 11|1.609666e-01|-1.142129e-05 + 12|1.609541e-01|-7.799970e-05 + 13|1.609496e-01|-2.780416e-05 + 14|1.609385e-01|-6.887105e-05 + 15|1.609334e-01|-3.174241e-05 + 16|1.609231e-01|-6.420777e-05 + 17|1.609115e-01|-7.189949e-05 + 18|1.608815e-01|-1.865331e-04 + 19|1.608799e-01|-1.013039e-05 + It. |Loss |Delta loss + -------------------------------- + 20|1.608695e-01|-6.468606e-05 + 21|1.608686e-01|-5.738419e-06 + 22|1.608661e-01|-1.495923e-05 + 23|1.608657e-01|-2.784611e-06 + 24|1.608633e-01|-1.512408e-05 + 25|1.608624e-01|-5.397916e-06 + 26|1.608617e-01|-4.115218e-06 + 27|1.608561e-01|-3.503396e-05 + 28|1.608479e-01|-5.098773e-05 + 29|1.608452e-01|-1.659203e-05 + 30|1.608399e-01|-3.298319e-05 + 31|1.608330e-01|-4.302183e-05 + 32|1.608310e-01|-1.273465e-05 + 33|1.608280e-01|-1.827713e-05 + 34|1.608231e-01|-3.039842e-05 + 35|1.608212e-01|-1.229256e-05 + 36|1.608200e-01|-6.900556e-06 + 37|1.608159e-01|-2.554039e-05 + 38|1.608103e-01|-3.521137e-05 + 39|1.608058e-01|-2.795180e-05 + It. |Loss |Delta loss + -------------------------------- + 40|1.608040e-01|-1.119118e-05 + 41|1.608027e-01|-8.193369e-06 + 42|1.607994e-01|-2.026719e-05 + 43|1.607985e-01|-5.819902e-06 + 44|1.607978e-01|-4.048170e-06 + 45|1.607978e-01|-3.007470e-07 + 46|1.607950e-01|-1.705375e-05 + 47|1.607927e-01|-1.430186e-05 + 48|1.607925e-01|-1.166526e-06 + 49|1.607911e-01|-9.069406e-06 + 50|1.607910e-01|-3.804209e-07 + 51|1.607910e-01|-5.942399e-08 + 52|1.607910e-01|-2.321380e-07 + 53|1.607907e-01|-1.877655e-06 + 54|1.607906e-01|-2.940224e-07 + 55|1.607877e-01|-1.814208e-05 + 56|1.607841e-01|-2.236496e-05 + 57|1.607810e-01|-1.951355e-05 + 58|1.607804e-01|-3.578228e-06 + 59|1.607789e-01|-9.442277e-06 + It. |Loss |Delta loss + -------------------------------- + 60|1.607779e-01|-5.997371e-06 + 61|1.607754e-01|-1.564408e-05 + 62|1.607742e-01|-7.693285e-06 + 63|1.607727e-01|-9.030547e-06 + 64|1.607719e-01|-5.103894e-06 + 65|1.607693e-01|-1.605420e-05 + 66|1.607676e-01|-1.047837e-05 + 67|1.607675e-01|-6.026848e-07 + 68|1.607655e-01|-1.240216e-05 + 69|1.607632e-01|-1.434674e-05 + 70|1.607618e-01|-8.829808e-06 + 71|1.607606e-01|-7.581824e-06 + 72|1.607590e-01|-1.009457e-05 + 73|1.607586e-01|-2.222963e-06 + 74|1.607577e-01|-5.564775e-06 + 75|1.607574e-01|-1.932763e-06 + 76|1.607573e-01|-8.148685e-07 + 77|1.607554e-01|-1.187660e-05 + 78|1.607546e-01|-4.557651e-06 + 79|1.607537e-01|-5.911902e-06 + It. |Loss |Delta loss + -------------------------------- + 80|1.607529e-01|-4.710187e-06 + 81|1.607528e-01|-8.866080e-07 + 82|1.607522e-01|-3.620627e-06 + 83|1.607514e-01|-5.091281e-06 + 84|1.607498e-01|-9.932095e-06 + 85|1.607487e-01|-6.852804e-06 + 86|1.607478e-01|-5.373596e-06 + 87|1.607473e-01|-3.287295e-06 + 88|1.607470e-01|-1.666655e-06 + 89|1.607469e-01|-5.293790e-07 + 90|1.607466e-01|-2.051914e-06 + 91|1.607456e-01|-6.422797e-06 + 92|1.607456e-01|-1.110433e-07 + 93|1.607451e-01|-2.803849e-06 + 94|1.607451e-01|-2.608066e-07 + 95|1.607441e-01|-6.290352e-06 + 96|1.607429e-01|-7.298455e-06 + 97|1.607429e-01|-8.969905e-09 + 98|1.607427e-01|-7.923968e-07 + 99|1.607427e-01|-3.519286e-07 + It. |Loss |Delta loss + -------------------------------- + 100|1.607426e-01|-3.563804e-07 + 101|1.607410e-01|-1.004042e-05 + 102|1.607410e-01|-2.124801e-07 + 103|1.607398e-01|-7.556935e-06 + 104|1.607398e-01|-7.606853e-08 + 105|1.607385e-01|-8.058684e-06 + 106|1.607383e-01|-7.393061e-07 + 107|1.607381e-01|-1.504958e-06 + 108|1.607377e-01|-2.508807e-06 + 109|1.607371e-01|-4.004631e-06 + 110|1.607365e-01|-3.580156e-06 + 111|1.607364e-01|-2.563573e-07 + 112|1.607354e-01|-6.390137e-06 + 113|1.607348e-01|-4.119553e-06 + 114|1.607339e-01|-5.299475e-06 + 115|1.607335e-01|-2.316767e-06 + 116|1.607330e-01|-3.444737e-06 + 117|1.607324e-01|-3.467980e-06 + 118|1.607320e-01|-2.374632e-06 + 119|1.607319e-01|-7.978255e-07 + It. |Loss |Delta loss + -------------------------------- + 120|1.607312e-01|-4.221434e-06 + 121|1.607310e-01|-1.324597e-06 + 122|1.607304e-01|-3.650359e-06 + 123|1.607298e-01|-3.732712e-06 + 124|1.607295e-01|-1.994082e-06 + 125|1.607289e-01|-3.954139e-06 + 126|1.607286e-01|-1.532372e-06 + 127|1.607286e-01|-1.167223e-07 + 128|1.607283e-01|-2.157376e-06 + 129|1.607279e-01|-2.253077e-06 + 130|1.607274e-01|-3.301532e-06 + 131|1.607269e-01|-2.650754e-06 + 132|1.607264e-01|-3.595551e-06 + 133|1.607262e-01|-1.159425e-06 + 134|1.607258e-01|-2.512411e-06 + 135|1.607255e-01|-1.998792e-06 + 136|1.607251e-01|-2.486536e-06 + 137|1.607246e-01|-2.782996e-06 + 138|1.607246e-01|-2.922470e-07 + 139|1.607242e-01|-2.071131e-06 + It. |Loss |Delta loss + -------------------------------- + 140|1.607237e-01|-3.154193e-06 + 141|1.607235e-01|-1.194962e-06 + 142|1.607232e-01|-2.035251e-06 + 143|1.607232e-01|-6.027855e-08 + 144|1.607229e-01|-1.555696e-06 + 145|1.607228e-01|-1.081740e-06 + 146|1.607225e-01|-1.881070e-06 + 147|1.607224e-01|-4.100096e-07 + 148|1.607223e-01|-7.785200e-07 + 149|1.607222e-01|-2.094072e-07 + 150|1.607220e-01|-1.440814e-06 + 151|1.607217e-01|-1.997794e-06 + 152|1.607214e-01|-2.011022e-06 + 153|1.607212e-01|-8.808854e-07 + 154|1.607211e-01|-7.245877e-07 + 155|1.607207e-01|-2.217159e-06 + 156|1.607201e-01|-3.817891e-06 + 157|1.607200e-01|-7.409600e-07 + 158|1.607198e-01|-1.497698e-06 + 159|1.607195e-01|-1.729666e-06 + It. |Loss |Delta loss + -------------------------------- + 160|1.607195e-01|-2.115187e-07 + 161|1.607192e-01|-1.643727e-06 + 162|1.607192e-01|-1.712969e-07 + 163|1.607189e-01|-1.805877e-06 + 164|1.607189e-01|-1.209827e-07 + 165|1.607185e-01|-2.060002e-06 + 166|1.607182e-01|-1.961341e-06 + 167|1.607181e-01|-1.020366e-06 + 168|1.607179e-01|-9.760982e-07 + 169|1.607178e-01|-7.219236e-07 + 170|1.607175e-01|-1.837718e-06 + 171|1.607174e-01|-3.337578e-07 + 172|1.607173e-01|-5.298564e-07 + 173|1.607173e-01|-6.864278e-08 + 174|1.607173e-01|-2.008419e-07 + 175|1.607171e-01|-1.375630e-06 + 176|1.607168e-01|-1.911257e-06 + 177|1.607167e-01|-2.709815e-07 + 178|1.607167e-01|-1.390953e-07 + 179|1.607165e-01|-1.199675e-06 + It. |Loss |Delta loss + -------------------------------- + 180|1.607165e-01|-1.457259e-07 + 181|1.607163e-01|-1.049154e-06 + 182|1.607163e-01|-2.753577e-09 + 183|1.607163e-01|-6.972814e-09 + 184|1.607161e-01|-1.552100e-06 + 185|1.607159e-01|-1.068596e-06 + 186|1.607157e-01|-1.247724e-06 + 187|1.607155e-01|-1.158164e-06 + 188|1.607155e-01|-2.616199e-07 + 189|1.607154e-01|-3.595874e-07 + 190|1.607154e-01|-5.334527e-08 + 191|1.607153e-01|-3.452744e-07 + 192|1.607153e-01|-1.239593e-07 + 193|1.607152e-01|-8.184984e-07 + 194|1.607150e-01|-1.316308e-06 + 195|1.607150e-01|-7.100882e-09 + 196|1.607148e-01|-1.393958e-06 + 197|1.607146e-01|-1.242735e-06 + 198|1.607144e-01|-1.123993e-06 + 199|1.607143e-01|-3.512071e-07 + It. |Loss |Delta loss + -------------------------------- + 200|1.607143e-01|-2.151971e-10 + It. |Loss |Delta loss + -------------------------------- + 0|-4.988764e-01|0.000000e+00 + 1|-4.993932e-01|-1.034993e-03 + 2|-4.993933e-01|-9.845917e-08 + 3|-4.993933e-01|-9.206594e-12 + + + + +| + + +.. code-block:: python + + + import numpy as np + import matplotlib.pylab as pl + import ot + + + + #%% parameters + + n=100 # nb bins + + # bin positions + x=np.arange(n,dtype=np.float64) + + # Gaussian distributions + a=ot.datasets.get_1D_gauss(n,m=20,s=5) # m= mean, s= std + b=ot.datasets.get_1D_gauss(n,m=60,s=10) + + # loss matrix + M=ot.dist(x.reshape((n,1)),x.reshape((n,1))) + M/=M.max() + + #%% EMD + + G0=ot.emd(a,b,M) + + pl.figure(3) + ot.plot.plot1D_mat(a,b,G0,'OT matrix G0') + + #%% Example with Frobenius norm regularization + + def f(G): return 0.5*np.sum(G**2) + def df(G): return G + + reg=1e-1 + + Gl2=ot.optim.cg(a,b,M,reg,f,df,verbose=True) + + pl.figure(3) + ot.plot.plot1D_mat(a,b,Gl2,'OT matrix Frob. reg') + + #%% Example with entropic regularization + + def f(G): return np.sum(G*np.log(G)) + def df(G): return np.log(G)+1 + + reg=1e-3 + + Ge=ot.optim.cg(a,b,M,reg,f,df,verbose=True) + + pl.figure(4) + ot.plot.plot1D_mat(a,b,Ge,'OT matrix Entrop. reg') + + #%% Example with Frobenius norm + entropic regularization with gcg + + def f(G): return 0.5*np.sum(G**2) + def df(G): return G + + reg1=1e-1 + reg2=1e-1 + + Gel2=ot.optim.gcg(a,b,M,reg1,reg2,f,df,verbose=True) + + pl.figure(5) + ot.plot.plot1D_mat(a,b,Gel2,'OT entropic + matrix Frob. reg') +**Total running time of the script:** ( 0 minutes 2.358 seconds) + + + +.. container:: sphx-glr-footer + + + .. container:: sphx-glr-download + + :download:`Download Python source code: plot_optim_OTreg.py ` + + + + .. container:: sphx-glr-download + + :download:`Download Jupyter notebook: plot_optim_OTreg.ipynb ` + +.. rst-class:: sphx-glr-signature + + `Generated by Sphinx-Gallery `_ -- cgit v1.2.3