PEPit/__init__.py,sha256=69pi5oWIFQBdK__jbQa4iUNu7_3rFUoC3GpMFtPmwz4,870
PEPit/block_partition.py,sha256=I8FtkzvnsT7dAcdbklHQVgz_Abl-B_wBHjkfNejyEZg,4986
PEPit/constraint.py,sha256=c6v_zZSNKOM12buD6D2pF50Ja24VhE8mOxXVMWE6H60,5937
PEPit/expression.py,sha256=7_3qcESw4rASQdLPEB4GSKa7KSmZLFg8bfEcElakcPI,16305
PEPit/function.py,sha256=zsLpfGUEcdoenAuWEoBVoFkwh2qE3ehmTTWxUN1FmGE,37205
PEPit/interpolator.py,sha256=9SSySBSV_vqRh4hiOoiIeZfwe6QNz4GHyvCTK9DF9g8,2279
PEPit/pep.py,sha256=UoTfjiXuFO-b1ih6ganXSP1bXFgGXQSqtbkIXvFFrZI,48648
PEPit/point.py,sha256=pg2anKjLROsB9cH8GJYyO1Q-FsHwK-BfJ-MeobXfTN0,10620
PEPit/psd_matrix.py,sha256=26wEspuFukYpnAhdGaomx2BcuqX7x-2ck1YpKizwARw,8398
PEPit/wrapper.py,sha256=ke7HtRkC6Xj518ctYdeu36bDYprjjVyTBjSoxX_zIfw,9362
PEPit/examples/__init__.py,sha256=vtxth4raiw4yOOhX76Ye5uz3g6Z1vhqd5CpLmW8vaKk,543
PEPit/examples/example_template.py,sha256=l2qkfErmRwQ76-DHg6Y2dmCPCQsDRCYrECesWtj-xHY,5099
PEPit/examples/adaptive_methods/__init__.py,sha256=g-nhds55hwWB1-yy5d1txZdRsKrF75lNFBQGHqNZihA,354
PEPit/examples/adaptive_methods/polyak_steps_in_distance_to_optimum.py,sha256=BKhl65OhlVhuZSmluRl2Udg4AUj7VQ31tYhEKcE7sA4,7311
PEPit/examples/adaptive_methods/polyak_steps_in_function_value.py,sha256=KH5m1HLcdj_zTzBotWd7zlWbxZZMWQeHKxMXoX8o3ho,7295
PEPit/examples/composite_convex_minimization/__init__.py,sha256=EGIS3aAZ6LM3g8AiOCBimk_EOrEhgStCoaR_CeaykCI,1950
PEPit/examples/composite_convex_minimization/accelerated_douglas_rachford_splitting.py,sha256=uGoE6MsVQnm0b9tY-FVowQdI3S4mCb8Bo0EhZWI9so4,8599
PEPit/examples/composite_convex_minimization/accelerated_proximal_gradient.py,sha256=BmVIQkU1Tm0mBDNHMOY3G9nyw7xdtNew6w9Tx_d8-XM,7338
PEPit/examples/composite_convex_minimization/accelerated_proximal_gradient_simplified.py,sha256=PoJn7xs-VM0tjqi8KAJLlobAEo_klM9j14h0lInbrBk,7431
PEPit/examples/composite_convex_minimization/bregman_proximal_point.py,sha256=5-bEqLtx7xw3kOoXjwJeSZpMf5o9x3IXz24IQNkL3KU,6394
PEPit/examples/composite_convex_minimization/douglas_rachford_splitting.py,sha256=DlGBGpouzsIcYwqF6_jaDAaKmTd_rvw8ylA-KILlNuQ,7923
PEPit/examples/composite_convex_minimization/douglas_rachford_splitting_contraction.py,sha256=Eh1NWOCtAI-g1AkiITYUExBua5gueSMQgx5AIyu955s,8080
PEPit/examples/composite_convex_minimization/frank_wolfe.py,sha256=qkkWzJwFsoqZ_equbc_3ga-8yOEybC3dT7yQckEqquI,7533
PEPit/examples/composite_convex_minimization/improved_interior_algorithm.py,sha256=hl8AiSpF2DDAqgKrgZ0TuBCQQRtTtNng_4tqkD-xCYA,8547
PEPit/examples/composite_convex_minimization/no_lips_in_bregman_divergence.py,sha256=FO5uWRq-w0YRAtlG1SX1f1uy61ZlWXTEuo8_9dNhv0c,8070
PEPit/examples/composite_convex_minimization/no_lips_in_function_value.py,sha256=OhFcJTygrGb81RW0bFoeRpjXgqcfW_CZr8ffmfzwDPQ,8078
PEPit/examples/composite_convex_minimization/proximal_gradient.py,sha256=ZZL-ymlY8R0ox_PYsMMEQRVZOb5mQk7JD0tenBdyDz8,7701
PEPit/examples/composite_convex_minimization/proximal_gradient_quadratics.py,sha256=F_H36QtnmICiiZO7hr5k8zR7mc9YG6CyiQIHzyRu9rk,8120
PEPit/examples/composite_convex_minimization/three_operator_splitting.py,sha256=SiacePi5OtT4cqBcxhPYnG3o02chU_81IZc3CXuXgbY,7853
PEPit/examples/continuous_time_models/__init__.py,sha256=LmKrTawbz1bdl4gWS91nUf30wOudOnFvhJp6T3yFHZ8,662
PEPit/examples/continuous_time_models/accelerated_gradient_flow_convex.py,sha256=HFgGy0f8kQoJMGTI-bK5eoYBMNTOXZJY3-mJb2-sycg,6301
PEPit/examples/continuous_time_models/accelerated_gradient_flow_strongly_convex.py,sha256=W-sGVaFs8zN07uMRjcXtsaObYMCoDWeazh_VJZe-Ihc,8357
PEPit/examples/continuous_time_models/gradient_flow_convex.py,sha256=yb6jjXqQiISsA2JMFqvTjpVWWSpyTwbyvxzHPTNC1rM,5971
PEPit/examples/continuous_time_models/gradient_flow_strongly_convex.py,sha256=WA1LNEbHDaN9lXRQres4_OgVuYHjkFz7s7j1PNd4SgI,6383
PEPit/examples/fixed_point_problems/__init__.py,sha256=4qdigQGqls3ZpDjolUCTsEGVdxftvgvXX26qgjNSl2I,862
PEPit/examples/fixed_point_problems/halpern_iteration.py,sha256=wAzTbEsKtF_08dmaYeCAobwhQvYpbSEXIk8tESDyMlw,6036
PEPit/examples/fixed_point_problems/inconsistent_halpern_iteration.py,sha256=VkdzetOcEXRZuF0Dg-IQVCJXQbw_BfNFwcgrXwd1-BE,6301
PEPit/examples/fixed_point_problems/krasnoselskii_mann_constant_step_sizes.py,sha256=uPjHxzw9nhJpqGunNL-m7jseefar_NBDBr2_t_WB3L4,6737
PEPit/examples/fixed_point_problems/krasnoselskii_mann_increasing_step_sizes.py,sha256=7aIMW_I2q4WV4KB0FAaM7ngdHm5Ym7SkshlTizsQqWE,5468
PEPit/examples/fixed_point_problems/optimal_contractive_halpern_iteration.py,sha256=YfeIEj6t021IuJ9uWdlxzaYmqnEdiFw5eQub1C5KBRI,6636
PEPit/examples/inexact_proximal_methods/__init__.py,sha256=W3DyPg7KtMXo2v9mfJvyAcYjswSx9BYYZacSsTdDi1E,626
PEPit/examples/inexact_proximal_methods/accelerated_inexact_forward_backward.py,sha256=h5BEpE1Mw8Yc1wRdJfaiGWjm73A3cooZvV4h9apxx5c,9585
PEPit/examples/inexact_proximal_methods/partially_inexact_douglas_rachford_splitting.py,sha256=qbf-x06MIpHHE3s3KDcnq6UjCZp59lu5LgfIrUOU7ns,9137
PEPit/examples/inexact_proximal_methods/relatively_inexact_proximal_point_algorithm.py,sha256=-4pDQg0YsNMxgrSmRaiQPtEdjetf_UlFctjuEFMjf8o,7368
PEPit/examples/low_dimensional_worst_cases_scenarios/__init__.py,sha256=XnHv7oqhCE6NksyEoSi4klYV_vQlwNZTPRJ9mNDar1Q,934
PEPit/examples/low_dimensional_worst_cases_scenarios/alternate_projections.py,sha256=E3t6gBzBoQfyTcxQ996NiZ4fu0pd1iYseHW_azf3TSE,6884
PEPit/examples/low_dimensional_worst_cases_scenarios/averaged_projections.py,sha256=6QAFQs_NhDyirG6f3_RCichH3vXHqQvxtcWICzIb_Ro,6409
PEPit/examples/low_dimensional_worst_cases_scenarios/dykstra.py,sha256=VXQ4DfeTK9uqDLBWWZr6Arnd4BhttUrbmq-K5XMRpCU,6856
PEPit/examples/low_dimensional_worst_cases_scenarios/frank_wolfe.py,sha256=abPAqzRLeReLo6XUwrfyZxk2fIGNtVNWmkjQx1pNxBI,9199
PEPit/examples/low_dimensional_worst_cases_scenarios/gradient_descent.py,sha256=JJ7_aXRYGVvjQvxKrZuJ5hYEtApaFQ4zzwWxVnQxXPo,7239
PEPit/examples/low_dimensional_worst_cases_scenarios/halpern_iteration.py,sha256=vr0T9Zvt9JV5qGmhUP1DoKCr88znfU5AS93buUFQxsw,7228
PEPit/examples/low_dimensional_worst_cases_scenarios/inexact_gradient.py,sha256=fLBgkH_iDaBo1Hwho4SokeYYDQdvEDgSOzK4qYIGSSc,10203
PEPit/examples/low_dimensional_worst_cases_scenarios/optimized_gradient.py,sha256=alfuXFGwjOuJB6nprD2K018oD4_xCjGp6EEkAP4ozKA,7905
PEPit/examples/low_dimensional_worst_cases_scenarios/proximal_point.py,sha256=69rgQR0ztea7rtOX1nM89sK6B44atEDmBwF3T1UUoEw,6396
PEPit/examples/monotone_inclusions_variational_inequalities/__init__.py,sha256=j1OFl16NOoWNlVL2MHTc2XNmJqdTkNyWhY37iFsQ17Y,1454
PEPit/examples/monotone_inclusions_variational_inequalities/accelerated_proximal_point.py,sha256=OstXsosqc-BN9WVVHlI3NHl-AWsmOoAANlzWsg4zTAg,6105
PEPit/examples/monotone_inclusions_variational_inequalities/douglas_rachford_splitting.py,sha256=C-5EpnAQ6YuwzlHZVx7-vc3P2r-CjllGMCbTTp2mDS8,9157
PEPit/examples/monotone_inclusions_variational_inequalities/douglas_rachford_splitting_2.py,sha256=aJN_7ZH8UridEGoDMSiRAWROhj8C5xePxKpNGOzJsCM,8822
PEPit/examples/monotone_inclusions_variational_inequalities/optimal_strongly_monotone_proximal_point.py,sha256=28Cp2mJmxXFir8w9dWngmkV6hzkyn6p33ZePXjHMmy4,7511
PEPit/examples/monotone_inclusions_variational_inequalities/optimistic_gradient.py,sha256=yHwYmPTxJm2rUtZNWrBK0Rf6yy0z5iz_ukAO5VcE2IM,6788
PEPit/examples/monotone_inclusions_variational_inequalities/optimistic_gradient_refined.py,sha256=MZHGoj5dskpSzyiZE2XxJYXzohAFs3UBGW4KoBqd_n4,9430
PEPit/examples/monotone_inclusions_variational_inequalities/optimistic_gradient_refined_cocoercive.py,sha256=9ZhomQXmpzyUwe7dHVq6Z6d0rKcqCLKW-3g5w2qz6y8,9477
PEPit/examples/monotone_inclusions_variational_inequalities/past_extragradient.py,sha256=g5Gcz1T9qJmubRrhwb_A44yAfNta1o11JPazTWNSjnw,6980
PEPit/examples/monotone_inclusions_variational_inequalities/proximal_point.py,sha256=lfhhrzeugSwqsw0gXhZcncollAKzOh3hRHpJ781sz7w,5788
PEPit/examples/monotone_inclusions_variational_inequalities/three_operator_splitting.py,sha256=ibSFr1Dmm-4fIwN6La1atydSofogdg7jF9BO9hAitYA,7768
PEPit/examples/nonconvex_optimization/__init__.py,sha256=mEhtnsD8RTJFHz91pKBnLojS0kxNjuXDWQVaGPOyKWQ,1122
PEPit/examples/nonconvex_optimization/difference_of_convex_algorithm.py,sha256=PA2rvAhtbdppw9ZyrpEb0KzGAhwqVWZCpKB6DVdq_PY,7597
PEPit/examples/nonconvex_optimization/gradient_descent.py,sha256=qjC_cqXt1TgUqgKR3ryG7RaC9GiEy9SpqaFnxGRzSYk,6292
PEPit/examples/nonconvex_optimization/gradient_descent_quadratic_lojasiewicz_expensive.py,sha256=K7GestqrxGsL9HnoiJRHrpo1m53-O3NcM3FX2gJ3_YE,8649
PEPit/examples/nonconvex_optimization/gradient_descent_quadratic_lojasiewicz_intermediate.py,sha256=F8nCF5REIOjV6A-OmjApxS9t6qV3LWqbQASQ0djVf1c,8259
PEPit/examples/nonconvex_optimization/gradient_descent_quadratic_lojasiewicz_naive.py,sha256=8PzuInbgYHHmZktjh5ePCccHOe0ET_DQeWua563vLFE,7765
PEPit/examples/nonconvex_optimization/no_lips_1.py,sha256=KltmYxFvoqF2jajChH1nm4yBOVI2cRn3meuw2j2YRa4,8069
PEPit/examples/nonconvex_optimization/no_lips_2.py,sha256=gtobOT7UnjtOmZ7iTaUZeNTi75ce-R7pY_5MJZSf0uI,7905
PEPit/examples/online_learning/__init__.py,sha256=AP2Tz1MJTULIt12DL91OsgTofraxBitQeISsXr4kC7o,546
PEPit/examples/online_learning/online_follow_leader.py,sha256=OatMx0x_85FyF-6xfhibvODZKIqDpCg0ycR7Bhdo4cw,6670
PEPit/examples/online_learning/online_follow_regularized_leader.py,sha256=bjfmnURM1DnThMchtMvAeIqSv9wfBWWq6pcTWlPEmIU,7600
PEPit/examples/online_learning/online_frank_wolfe.py,sha256=n61uEDRxorOBYEqyCvq1Pf1z4AIkvCB3KyMe_8IrKt8,7530
PEPit/examples/online_learning/online_gradient_descent.py,sha256=SjG8DO0j9xy4RJgKWEJ-gJXTXSF9hCB-2A_oHVi03yw,7397
PEPit/examples/potential_functions/__init__.py,sha256=xBkD4F0KhQB953eqv-2oHgYpHIOF4CAC8JS0_vVQbjc,458
PEPit/examples/potential_functions/accelerated_gradient_method.py,sha256=gepl_vK1rGRGaxrkSY_wUjX1V62ji67ucu-66-GpO5E,7520
PEPit/examples/potential_functions/gradient_descent_lyapunov_1.py,sha256=PGQJQInTeU7mMbpZv-N4Sdwa8JAutrQWcHXQLfTrEXY,6637
PEPit/examples/potential_functions/gradient_descent_lyapunov_2.py,sha256=aDUZlIq2Dr5VoSvJa_i-w21Xyvw-f_cGnGw0Z4pNqHk,6486
PEPit/examples/stochastic_and_randomized_convex_minimization/__init__.py,sha256=9GjxFaKr79np5TV8ChoURV7as3qX4ahmUVjf11L88pE,782
PEPit/examples/stochastic_and_randomized_convex_minimization/point_saga.py,sha256=ebCjo-m2iYtFZD8UfXJhJXiM8AD8fAJkWYaZJoqooOY,9526
PEPit/examples/stochastic_and_randomized_convex_minimization/randomized_coordinate_descent_smooth_convex.py,sha256=WA9aN7elyf6uVMhUTS42jhB23BdRtHgCJqzc_2_RHf4,7416
PEPit/examples/stochastic_and_randomized_convex_minimization/randomized_coordinate_descent_smooth_strongly_convex.py,sha256=5isbFkfNvNkeNeBdUmvKEb3pS3L2IQ25QGZ1gPOIdyw,7624
PEPit/examples/stochastic_and_randomized_convex_minimization/saga.py,sha256=nSmSkVSX5ksBO7C59KGWhYD7JyY_YJBRBuXMcDfPvrg,9565
PEPit/examples/stochastic_and_randomized_convex_minimization/sgd.py,sha256=zOaBaDrHSdx7ZhYuoDSgcrzmHn8HaSeDyPcJHyMQKLA,8718
PEPit/examples/stochastic_and_randomized_convex_minimization/sgd_overparametrized.py,sha256=r1ewGMCzcFHkIo7voZtIpb-1dMOSEE9K050_sZFNg78,9009
PEPit/examples/tutorials/__init__.py,sha256=-2BnvHa2Her3yZkoUHIsEJGQbkeboErP9Q4-QyjViZM,166
PEPit/examples/tutorials/gradient_descent_contraction.py,sha256=nXHIAAI7AAqz2XRU1Xqmh8az0Lu2mTJTa72wcfmKaRo,6169
PEPit/examples/unconstrained_convex_minimization/__init__.py,sha256=VZZ2biTz3AO2HvnN6sB9hCTSZS0p_raRQ-FoawnLp94,4213
PEPit/examples/unconstrained_convex_minimization/accelerated_gradient_convex.py,sha256=ay4sgaZJnOFrKrZqQEpcevZNDdblw0tMXtROZ7AmxaI,6928
PEPit/examples/unconstrained_convex_minimization/accelerated_gradient_convex_simplified.py,sha256=saPpQUrQnaZmnuUwSjGCOZxeR1CSuuf07QTyXBPACU0,7068
PEPit/examples/unconstrained_convex_minimization/accelerated_gradient_strongly_convex.py,sha256=h8v-pf2VVio78HEkqsFLLCi4nzyF1FeictVCQkdpJ0k,6937
PEPit/examples/unconstrained_convex_minimization/accelerated_proximal_point.py,sha256=oOxLM5iC5rtF9iOz_sw4JBj7xGrqWtZRKuEvyBrUIt0,7565
PEPit/examples/unconstrained_convex_minimization/conjugate_gradient.py,sha256=sJbyLuaDJpA3QIA7V9QVDqyfzTvT9JLrIj5f5sYwZjM,7110
PEPit/examples/unconstrained_convex_minimization/conjugate_gradient_qg_convex.py,sha256=xiENOE_2RsbfN7Rflrqdlnwx56tdN5cB4gEldBLtEZE,6812
PEPit/examples/unconstrained_convex_minimization/cyclic_coordinate_descent.py,sha256=bkcOrY714TY1GaQOuOrX08x6mmFs1n3krG6TXpNMaec,6264
PEPit/examples/unconstrained_convex_minimization/epsilon_subgradient_method.py,sha256=EtrOn-A0OK6b36Rz_IwkBsYlMEnHYXv7Il84Eq3zbfw,7505
PEPit/examples/unconstrained_convex_minimization/gradient_descent.py,sha256=ZHiekq15SmTp9hE8lTcuGC9bI5yw7xCw4w7X0t9jdL4,6094
PEPit/examples/unconstrained_convex_minimization/gradient_descent_lc.py,sha256=8hL-Y-IjvzX7OVgIi4ahVXLSG_cevc0H0mNao2HVErQ,10594
PEPit/examples/unconstrained_convex_minimization/gradient_descent_qg_convex.py,sha256=Ci16z_CHEu2ipx89IELNZ9UO4IHwnSweFedz3geI-1Q,6385
PEPit/examples/unconstrained_convex_minimization/gradient_descent_qg_convex_decreasing.py,sha256=XvnmRNziKoL4UwrDlqStpmLxR0qEzl3vaNbQ5npve-A,6883
PEPit/examples/unconstrained_convex_minimization/gradient_descent_quadratics.py,sha256=vqykLX_OVd6iWsaYbZpUdxD73TZDPWL8kjayOweheT8,7202
PEPit/examples/unconstrained_convex_minimization/gradient_descent_silver_stepsize_convex.py,sha256=VSndvXML99v6RWMOmTdrzQzdWNcbXdp7xTP1JLLHRCk,6972
PEPit/examples/unconstrained_convex_minimization/gradient_descent_silver_stepsize_strongly_convex.py,sha256=cz-eBitIDu2nTPkERvnBpNWCp9HvlH9JtXTssCXITBk,8231
PEPit/examples/unconstrained_convex_minimization/gradient_exact_line_search.py,sha256=3wyLojy7XfVPBvflDVfKSMxJoEet_kbIJOzjsa7a54k,6517
PEPit/examples/unconstrained_convex_minimization/heavy_ball_momentum.py,sha256=NjOOnwETWnso8eXJH_y9NO11g9NZba7auUcaQZhGYug,7211
PEPit/examples/unconstrained_convex_minimization/heavy_ball_momentum_qg_convex.py,sha256=P-GcYdaE-79rr2Bhan-otjDHtzb4-4yime_wYxAQhx4,6623
PEPit/examples/unconstrained_convex_minimization/inexact_accelerated_gradient.py,sha256=egZE7ebw82pvx0JDCuqynQYPLU0e86Ze533rtk_0MP8,6956
PEPit/examples/unconstrained_convex_minimization/inexact_gradient_descent.py,sha256=9rufyRdKU9RFyR4FZ3bBUSY1UqGiuuLiDbqV_kI_muI,7308
PEPit/examples/unconstrained_convex_minimization/inexact_gradient_exact_line_search.py,sha256=5N2GXOo1iTvhvZui30imeQ5fDMLcNvqkwOKaUDsQ-DE,7495
PEPit/examples/unconstrained_convex_minimization/information_theoretic_exact_method.py,sha256=ZOz-U51dw4951Cll2yGcZrPtHOxXsZ_k_WFH_z9ikw8,7204
PEPit/examples/unconstrained_convex_minimization/optimized_gradient.py,sha256=NbQtCsDAdZSrQKkYn6bHnnhLRCn5ofTqL8T-cgwK1QM,7252
PEPit/examples/unconstrained_convex_minimization/optimized_gradient_for_gradient.py,sha256=lIJ1i8U2Oc0vrW79ju8pumiQMRCEXawUiIzMckZhj0M,7494
PEPit/examples/unconstrained_convex_minimization/proximal_point.py,sha256=k9uYZ_oIPLR47wDByjJMTMQIsiwSF-Inm_s6bSuURac,6021
PEPit/examples/unconstrained_convex_minimization/robust_momentum.py,sha256=xYgehx3oir8KHhf84_AhC1dO_7zGHqBdmRP2KQBq7hQ,7951
PEPit/examples/unconstrained_convex_minimization/subgradient_method.py,sha256=XAaWv4KThBgMVft2U3YQNseF_WLIV3UgZrhE4qWbM3k,7018
PEPit/examples/unconstrained_convex_minimization/subgradient_method_rsi_eb.py,sha256=4ovcku_0krrEUTK9fb_HfuMToXSqX3rSB2_C8OfXzRE,6428
PEPit/examples/unconstrained_convex_minimization/triple_momentum.py,sha256=LJgL581maMHmyeCkkDrvXMYFdc9Hi2rWKdh6xE-fRnU,7408
PEPit/functions/__init__.py,sha256=piDyrxTkVLZ-tfYK9x6uYtvVI5lG07lrJcGIXyZoBHw,2248
PEPit/functions/block_smooth_convex_function_cheap.py,sha256=662Fae-KwgZ3LCEuUrfH_i5zT8F1K23jbOazLBZjPbg,5811
PEPit/functions/block_smooth_convex_function_expensive.py,sha256=Va23fAMnnUg9JpoHXa0k7zCDoIEtdMETUE-Df_b-nsU,7588
PEPit/functions/convex_function.py,sha256=l35dqLfsf41j6HqQ3YWQcat26-BVU6adxGnrvbSduDA,3156
PEPit/functions/convex_indicator.py,sha256=fYNC_AvPRCYJcz_4yTQOFpOIZYXMQJ03_ZxdSqhP0Qs,6768
PEPit/functions/convex_lipschitz_function.py,sha256=qBgfLjSHU-EZrABZNrDvqnhrLin-JAcmMQUrwgvg0FY,4113
PEPit/functions/convex_qg_function.py,sha256=qD1JugA2rKOO2cvR3YX91GFl_XColzBeDA49sJXrpAY,4477
PEPit/functions/convex_support_function.py,sha256=OhfNDeowhe-1ON5YovaLsgizQ6QUO2NpMaPWwPuTYg8,4728
PEPit/functions/rsi_eb_function.py,sha256=qME51ZKZIPcKUPrp-ncWd4Di0poe3TcuMOHKW6KD4Ng,4551
PEPit/functions/smooth_convex_function.py,sha256=P1NnrvY2PzLhju3uw7eC_nmMz5gXm5I5Tfm9T_Q2oVE,4332
PEPit/functions/smooth_convex_lipschitz_function.py,sha256=me9jx9gRLAlbZLf2d6hrECj5GhMgRIOPtAJzSaQqcr8,5329
PEPit/functions/smooth_function.py,sha256=vGB0AJ9022dqIvHwiLXgTnTFFiQj5xYDQXUdAcSRuVs,4051
PEPit/functions/smooth_quadratic_lojasiewicz_function_cheap.py,sha256=LfvKp7TKlK1CxsaTHf5fjye2iFUwieIXCTD3qp78Oes,9051
PEPit/functions/smooth_quadratic_lojasiewicz_function_expensive.py,sha256=c3DFNLp2mnEY_-F02pMtT7XEP9ZabgkAIDMMzdOJOp4,8890
PEPit/functions/smooth_strongly_convex_function.py,sha256=JofLl4StIvfhbKqnOkpD9pXmE1btcG0uZMRztxE6ktw,4757
PEPit/functions/smooth_strongly_convex_quadratic_function.py,sha256=jxFAzs21MeT_-BN55vyVi9YlUq2w8LnEoA4lQhgOpLA,6389
PEPit/functions/strongly_convex_function.py,sha256=vrA9u7sj64r0oNJVLPDQgQL-2oWYMsWRaq9UDL3LMOA,3853
PEPit/interpolators/__init__.py,sha256=EL01d-A5-g8sTCh9Wv0oG7FYIeAhWPgGGO_wm_WebWU,182
PEPit/interpolators/smooth_strongly_convex_interpolator.py,sha256=7x5f66mGgvDMjT9z8kSBaGN7UhBfEc8oCu75SMGO-IY,3964
PEPit/operators/__init__.py,sha256=eUspVrNNVX2QuMnBY2BMOBgMYCaOSD8FH5RkW1uoJmU,1678
PEPit/operators/cocoercive.py,sha256=8CHWevd86_OWbM1fOWajJUfVyGwp3KuMSqHkymqT5cY,4118
PEPit/operators/cocoercive_strongly_monotone_cheap.py,sha256=Fq3K9fDVmmfOE7OuGGMZn7_fZr91-jijoCNHS_KJ5Ds,6105
PEPit/operators/cocoercive_strongly_monotone_expensive.py,sha256=N3WLUO4-_fc16P8AXSWOXDBsWEGeoIvQughuH7xko8k,9053
PEPit/operators/linear.py,sha256=vfNcrCEBMEujguFNQd1TmJi4gkFwr-IefIEz9mhdafI,4587
PEPit/operators/lipschitz.py,sha256=025Tbuy4dkkL7PitE3zeiFvc7_6iPEFvYF0VyKDw6c4,4920
PEPit/operators/lipschitz_strongly_monotone_cheap.py,sha256=NDc33VuazMuKKSY1XUhE-NHaUyPTSE0Bxk6vyQTCr4o,6062
PEPit/operators/lipschitz_strongly_monotone_expensive.py,sha256=lgYPwyGuQ7pnxzviMOsPB34LQ1Qbf3zG299Fykn_u4Y,9064
PEPit/operators/monotone.py,sha256=PPWWj4mUDIDLoa78avOKWYUahkA45vO5LS2wLDhFJEI,3223
PEPit/operators/negatively_comonotone.py,sha256=yisG_tTFQWhN9wEUxY0gbDAqoHr0MmjSOo5sT4B7-k0,4361
PEPit/operators/nonexpansive.py,sha256=BiZLvmCz5Akrl1Isl-TpmOCN3BGJm1Kq5KdqNAKKMQM,5291
PEPit/operators/skew_symmetric_linear.py,sha256=CWcjp5X5pOkC_3fwDIgXiFEN5-8N-OyOr6_3Axbb0vE,5240
PEPit/operators/strongly_monotone.py,sha256=65FLgFUJ9k6rEBT9-ksfR4R5Brd8NIXBgayFzrwFLR0,3905
PEPit/operators/symmetric_linear.py,sha256=C9ffBuW9mlHpIxqjxANQE7jxvEvvBsV__CUUC12kVOU,4546
PEPit/primitive_steps/__init__.py,sha256=7emqLXBi99gMEisxthzESgyzBAdM_dW5F9m9TBt0gqw,857
PEPit/primitive_steps/bregman_gradient_step.py,sha256=gW6WelRa_dqE-muNQfZBetyYIPdj90mV7ANaAzDH07w,1849
PEPit/primitive_steps/bregman_proximal_step.py,sha256=yyTZbIWTpF9m34hnCDM7zBU_fjT6unlrOVUo18qRQNY,2100
PEPit/primitive_steps/epsilon_subgradient_step.py,sha256=k3RhUwJFvskOODqiu1l2suwo6RQ85dRAp18hdp5HQ7M,2035
PEPit/primitive_steps/exact_linesearch_step.py,sha256=Ye2PQvG9v8pMOqnpmXNsBfCb6q9NvnuHiBcqpjrsPb8,3638
PEPit/primitive_steps/inexact_gradient_step.py,sha256=ycLfGUvph-RLkY_8gDmOPpA9ujgWMx8IXPQf6tW0hi8,2971
PEPit/primitive_steps/inexact_proximal_step.py,sha256=hwEd0AFALDw6VyoF_IEVh4Z5fRA90TbicvYcDvsEL0A,8353
PEPit/primitive_steps/linear_optimization_step.py,sha256=QF5ucACgFXl6gG266S1SruqG0ZD_m8N31ur_1KKtddk,1438
PEPit/primitive_steps/proximal_step.py,sha256=41aQHgHwor84XCK5nhO4ArbWfVOc2eF_vBnGeVqrM_Q,1305
PEPit/primitive_steps/shifted_optimization_step.py,sha256=k-NfzJVCR6w2kT_aT5vdZdFYwB49gzl9tDUwqcZdjnw,1274
PEPit/tools/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
PEPit/tools/dict_operations.py,sha256=wxpO3pbK_9Zvq1tb6hGGY1-hkI8W6Cl_36Q-0IP6a7E,2968
PEPit/tools/expressions_to_matrices.py,sha256=hDCH8BKr_a6G-qYbC1grm6OAVcrX5wTbk8Lx8j9IqSQ,5354
PEPit/wrappers/__init__.py,sha256=lKqH1XlbYNo2kbyJ8TIGRuR2y_qD3SflzHEm-KIvNqo,369
PEPit/wrappers/cvxpy_wrapper.py,sha256=NHudbak8tao9F_XMAvXnqD1NGjwMZuaenxsm4a1c9as,13721
PEPit/wrappers/mosek_wrapper.py,sha256=spCrUO5_cjT5mZOlNXvnNODAnxomwApBc57XMFCwAhQ,16073
pepit-0.5.0.dist-info/licenses/LICENSE,sha256=pHFsQZegk0Pfp3scVEfJyO30o2huVPNjGKQhoEzt5SU,1164
pepit-0.5.0.dist-info/METADATA,sha256=oSLP4JdzdCIxMIz06dIztz-lfiadGeCaoTkTmz4xLcg,39740
pepit-0.5.0.dist-info/WHEEL,sha256=aeYiig01lYGDzBgS8HxWXOg3uV61G9ijOsup-k9o1sk,91
pepit-0.5.0.dist-info/top_level.txt,sha256=RcN8eajOAtNTdmXsytwjEM8QN4LLp4Iwg3qIhVCAtBI,6
pepit-0.5.0.dist-info/RECORD,,
