PEPit/__init__.py,sha256=lm267TqdR_sRg7L9WV4Q5DCeOIr_Lh0eS2xKU0Vzy4Y,511
PEPit/constraint.py,sha256=vXjMQ1aeS5Qp67DhLWSMNtD_-PN9aeY0fkCd3fFBF2Y,4918
PEPit/expression.py,sha256=lnHMfMJ40gdrpvwIDB10DbIcT3Xqde2n5bhzwthAut0,15335
PEPit/function.py,sha256=cL7tVQRz7LpMPSFS9BEJxIhnEas4JSf9iy9_ODqkgIY,24898
PEPit/pep.py,sha256=9zJ5GX7R3l8UEsApG4b8TXhSoChAFEvDvC_Ky-8uLvw,27807
PEPit/point.py,sha256=N71pqXrszMr3wXCZo4vfAc98qoAl5jku6uyvVTv9BMc,9910
PEPit/examples/__init__.py,sha256=kG8fyE-sOiu8On_K6uow2VxT19bYS00m2IKS3aPkPPs,436
PEPit/examples/example_template.py,sha256=Uh3MKGtpPh0KGwUrtGiC-dzA6tvaZNduQe8TfwNYq1A,4863
PEPit/examples/adaptive_methods/__init__.py,sha256=g-nhds55hwWB1-yy5d1txZdRsKrF75lNFBQGHqNZihA,354
PEPit/examples/adaptive_methods/polyak_steps_in_distance_to_optimum.py,sha256=46idQIwtkZEchCBtpgL9UXXPmrYpKDIewHhHbvcOhiM,5882
PEPit/examples/adaptive_methods/polyak_steps_in_function_value.py,sha256=Zwudw1N1fTVk95Hz0Ds69jG-OkUtEbM4hcbn3Fdmu28,5841
PEPit/examples/composite_convex_minimization/__init__.py,sha256=XBBtiePHODYMxIOGLFgK93elVtiH2kwB7OQmt3Up6uQ,1607
PEPit/examples/composite_convex_minimization/accelerated_douglas_rachford_splitting.py,sha256=CvaXYpzXqXXxMhWTHjx6V4YCgpVjRWQfOL7J7Hqgr5s,7060
PEPit/examples/composite_convex_minimization/accelerated_proximal_gradient.py,sha256=pQxrDESFjIEJdlFvU8tZ64WY6ao4c77OqOA2L3TDhZg,5859
PEPit/examples/composite_convex_minimization/bregman_proximal_point.py,sha256=n8BwxAJo7U7d7acQqGVpC84vmKSpjBWuBs2vMRZ9vB0,5071
PEPit/examples/composite_convex_minimization/douglas_rachford_splitting.py,sha256=i-gIR_vTuOLXku6DaYNeC0YrlH75DL7qm4v89oNIVe0,6361
PEPit/examples/composite_convex_minimization/douglas_rachford_splitting_contraction.py,sha256=f1Z9Qt7iJCys5MJzFvZf2jLYHKLgN9X4iD0FypXhIpo,6729
PEPit/examples/composite_convex_minimization/frank_wolfe.py,sha256=t0gI0jfr-azw0dFVNesGqHwzKdExXWFscLl5WeOUqgU,5625
PEPit/examples/composite_convex_minimization/improved_interior_algorithm.py,sha256=wf4LaV8QUpksYqLGyNdyodx2xH-Kk6XtZuTky33Q-AU,7127
PEPit/examples/composite_convex_minimization/no_lips_in_bregman_divergence.py,sha256=B_zU2IbH2K3_gJAFehKq_F-hrnKz8ruks7NEvfXBJs0,6491
PEPit/examples/composite_convex_minimization/no_lips_in_function_value.py,sha256=kcJ5C8euBPVUg9OFjS4PXEVjmGR96HjsssGQI_cJZts,6501
PEPit/examples/composite_convex_minimization/proximal_gradient.py,sha256=Ri1dOjBfQj3D_gAODTvn4VdtIScob0sTB51iFrACWII,6127
PEPit/examples/composite_convex_minimization/three_operator_splitting.py,sha256=ny_glFjBjkggLi-DuaQmkBdpqvoc0g3dNrAHoJtxG9M,6547
PEPit/examples/fixed_point_problems/__init__.py,sha256=vlc11snacPZQD8KFNX1IuGLIbJVk3PcxoVpJfxVSQho,514
PEPit/examples/fixed_point_problems/halpern_iteration.py,sha256=NnZrY6IQEgm-WpVC8vtpc_8uxV8QU_02Y6xz3SXr_No,4407
PEPit/examples/fixed_point_problems/krasnoselskii_mann_constant_step_sizes.py,sha256=RLu6AhOap6m6gKPS_TU0hQdoMJUpWcLdBvCe8p8I0lY,5262
PEPit/examples/fixed_point_problems/krasnoselskii_mann_increasing_step_sizes.py,sha256=czWhtcCzvuqTT2dvO_AMpQzfKFUZpnW2FSLCTYaNFUQ,3988
PEPit/examples/inexact_proximal_methods/__init__.py,sha256=W3DyPg7KtMXo2v9mfJvyAcYjswSx9BYYZacSsTdDi1E,626
PEPit/examples/inexact_proximal_methods/accelerated_inexact_forward_backward.py,sha256=iByOrC-Kc2OwBLPXZIgR7vn93KM1xrjcCfpu5yewylE,7896
PEPit/examples/inexact_proximal_methods/partially_inexact_douglas_rachford_splitting.py,sha256=U6-DkwfXQQXZTTdKw0Uz2WQitpSrVX3bBs1SOCWK7o4,7465
PEPit/examples/inexact_proximal_methods/relatively_inexact_proximal_point_algorithm.py,sha256=5dRc3Prm68rff-zsXs-ecUC5swne0xvMJUcCczG1et8,5773
PEPit/examples/low_dimensional_worst_cases_scenarios/__init__.py,sha256=6UScirG-1mWykwV4qQXI8-Axh6bMUtiPRI8XMe5-ScE,319
PEPit/examples/low_dimensional_worst_cases_scenarios/frank_wolfe.py,sha256=pV8NqMHPNok1YcFoqsd3dlBgEhicFBYXsZD1G_ZsIGI,8579
PEPit/examples/low_dimensional_worst_cases_scenarios/inexact_gradient.py,sha256=_2EbS_It_W6xsRU7vhXYpSk3Cbm-iICg1YPCrKwQknk,8339
PEPit/examples/low_dimensional_worst_cases_scenarios/optimized_gradient.py,sha256=Fo5w3Tim4bCmhaegScHMMZhN3TctchTPCIDcwSvgrVY,6504
PEPit/examples/monotone_inclusions/__init__.py,sha256=5gWATH6La4_biJc-tNN4i3944tpIDhX37afVGu1oKy8,537
PEPit/examples/monotone_inclusions/accelerated_proximal_point.py,sha256=IOyg0vGDu-O5SyvVgg8G6MYks9D1ef2g99MZxKKH-2U,4796
PEPit/examples/monotone_inclusions/douglas_rachford_splitting.py,sha256=1cWEBQz4ff_kKuYRyIf5jvRD0bgcG3zAAJohj9-doqg,7651
PEPit/examples/monotone_inclusions/proximal_point.py,sha256=O66Z9ClrLx3e42XRlbT7hI4sVuSHh7lJEWIMkbMd9k4,4475
PEPit/examples/monotone_inclusions/three_operator_splitting.py,sha256=k-bcjKNdRFKpAK5lskc-WTXXRUSNQIYgqAMQcpgctZI,6230
PEPit/examples/nonconvex_optimization/__init__.py,sha256=3im64YySmQ9N4HMsPd4yzddmAaLa9OmR3pvzXBvXTJQ,270
PEPit/examples/nonconvex_optimization/gradient_descent.py,sha256=aGGBnc_E1leLOyc7y-u1HqWLBMqTVnAEgH1pgaFFXeA,5004
PEPit/examples/nonconvex_optimization/no_lips_1.py,sha256=k34Oe1lF2prxXlmK1zZUIY6YBtGULyPo-sIIWQt2DFk,6578
PEPit/examples/nonconvex_optimization/no_lips_2.py,sha256=e2LJ-vfSoLh2Xmh1WradMAtiTB4y_lGL5WoktKW346s,6459
PEPit/examples/potential_functions/__init__.py,sha256=xBkD4F0KhQB953eqv-2oHgYpHIOF4CAC8JS0_vVQbjc,458
PEPit/examples/potential_functions/accelerated_gradient_method.py,sha256=2mm9aeBh_kCiT6l9ecm67PK4tyPbvYZlhPgN9x9N5Zc,6099
PEPit/examples/potential_functions/gradient_descent_lyapunov_1.py,sha256=43y9BY4p3CxHSkya0WVHwOB32-R7mDUjRr-i4JLyMko,5191
PEPit/examples/potential_functions/gradient_descent_lyapunov_2.py,sha256=XWgVqnyoon7xEp7KX4AY9kW-zqSYMyt4nGpDxNP1iZE,5117
PEPit/examples/stochastic_convex_minimization/__init__.py,sha256=v0qUSpndzGu_a1wcRz7Ik3bJVpWOFbLIShjCuDMeKeo,322
PEPit/examples/stochastic_convex_minimization/point_saga.py,sha256=aJwnO8ww1DwExbgDt1NUsmmdGtxWnm9WS1f_M3WuZSE,7381
PEPit/examples/stochastic_convex_minimization/saga.py,sha256=kw2qypIHMgATB3V7SLwRqf6cBzDiNg41DyD0HWK9cos,7705
PEPit/examples/stochastic_convex_minimization/sgd.py,sha256=vAj7NO59aQ-CzqaEhslm7WsY78_vrES2srWcKYCMIFI,7186
PEPit/examples/stochastic_convex_minimization/sgd_overparametrized.py,sha256=yBGbcy0bihmc_tsE6R40gFsI-G_wzSeFdJtGxGKj1q4,6961
PEPit/examples/tutorials/__init__.py,sha256=-2BnvHa2Her3yZkoUHIsEJGQbkeboErP9Q4-QyjViZM,166
PEPit/examples/tutorials/gradient_descent_contraction.py,sha256=MUiE4TxKs3Mz2eGjgFByxkR1ZgReMeFLiI39F0-gGhc,4740
PEPit/examples/unconstrained_convex_minimization/__init__.py,sha256=knyr1yTqJuRoSAqEIbgwWFG1SAv-F8fOMCcJIw9iz1s,3044
PEPit/examples/unconstrained_convex_minimization/accelerated_gradient_convex.py,sha256=9rf6DTi1yT5gtxUbu1lxSj9ux9ob_omowHNX5CEqnB4,5206
PEPit/examples/unconstrained_convex_minimization/accelerated_gradient_strongly_convex.py,sha256=_aiOKzV7ZZ8_exgk3A9UTJYyy_9Sk-YdEEi6XlTcLCk,5497
PEPit/examples/unconstrained_convex_minimization/accelerated_proximal_point.py,sha256=FIPl3bVoEqFL-h1VX3rgQA5hPk4mQFET4OeX-LwyoFY,6059
PEPit/examples/unconstrained_convex_minimization/conjugate_gradient.py,sha256=frpExWf9vjr2piZNsdQSmh0PR5azFxdcWYiVxwX68Fw,5682
PEPit/examples/unconstrained_convex_minimization/conjugate_gradient_qg_convex.py,sha256=eNUfvZbFoqlsjE790DBISyiatW3ofXJ7xA0HvnFoNdY,5349
PEPit/examples/unconstrained_convex_minimization/gradient_descent.py,sha256=S4KGJuHc9ItCBYbuIDN_zFdMWQNDAcbYhEzi3KbsROg,4771
PEPit/examples/unconstrained_convex_minimization/gradient_descent_qg_convex.py,sha256=z5hVA8ucCydpJCzaAzMCb8UAP1ymE1YmQS3SgUqWmwE,4960
PEPit/examples/unconstrained_convex_minimization/gradient_descent_qg_convex_decreasing.py,sha256=eNjPhK_kAnc8JPycxd655UBmc-XlVSkbqMI9nmymkt4,5385
PEPit/examples/unconstrained_convex_minimization/gradient_exact_line_search.py,sha256=hxQVmQhqex6U4H77BNoEv5-aeWtagU86N-F2G1DMJek,5086
PEPit/examples/unconstrained_convex_minimization/heavy_ball_momentum.py,sha256=D978NTBoNFDGEjCZHnKWJ36V2t4DIWLB4X7jEL6i4t8,5777
PEPit/examples/unconstrained_convex_minimization/heavy_ball_momentum_qg_convex.py,sha256=LWbHJIbC7zEn_af9-2AvLzM8-3ylzD7m1uUyXJNpl54,5337
PEPit/examples/unconstrained_convex_minimization/inexact_accelerated_gradient.py,sha256=vOcOD074johLWQUWDNHvkmhSFxPoIPEJtydH_RHDT0s,5409
PEPit/examples/unconstrained_convex_minimization/inexact_gradient_descent.py,sha256=0wfbuWuxdaYVFu1St-R7SIJ3ha7kiepDlTqmwvGKAB0,5767
PEPit/examples/unconstrained_convex_minimization/inexact_gradient_exact_line_search.py,sha256=W20Y1vQvW5pwnG-cCbdZiSWGPHpw1cHgtEiUEQda0xM,5905
PEPit/examples/unconstrained_convex_minimization/information_theoretic_exact_method.py,sha256=Qgg2URwuTXKOpBlAw_QuGkI4ekbNEdTa7D-reEq1Cwg,5925
PEPit/examples/unconstrained_convex_minimization/optimized_gradient.py,sha256=sV6YMeFh_bvePaL6DsYLJg_JpsugqLU-dzqLTkiwzt8,5888
PEPit/examples/unconstrained_convex_minimization/optimized_gradient_for_gradient.py,sha256=lG_ky54YPuf4s-kTJDkWcEiI4_x7GZ8waTkCpvPwSyU,6192
PEPit/examples/unconstrained_convex_minimization/proximal_point.py,sha256=J_we8KBGxDhrzCdip3uVQAZdQhInk0lV3N_1U98AsUA,4718
PEPit/examples/unconstrained_convex_minimization/robust_momentum.py,sha256=ILDzWNCNKAk81qjlRc8CK9WHBTcMwum4txBqM_Id8Uo,6798
PEPit/examples/unconstrained_convex_minimization/subgradient_method.py,sha256=6ukxGpHdtDnwj6oeHC1BhiJH8vWmDUVxeCYGhggJkac,5706
PEPit/examples/unconstrained_convex_minimization/subgradient_method_rsi_eb.py,sha256=t-wItGPn8MXoILPU3PndZkN-8fUtNoBL944OsbTmDAQ,5062
PEPit/examples/unconstrained_convex_minimization/triple_momentum.py,sha256=6MojZnE-xnXs2AJ1tBbiZLxW-rlzJm25DRc0nWveobk,6049
PEPit/functions/__init__.py,sha256=1mkZ9_BsRsnUdRi8O7_encDzIdkK_KAxtrfxTsOuHHU,1113
PEPit/functions/convex_function.py,sha256=KxvJsCRCqe4wc38tUwIAevgfY_oGsptS69rb0ksS9aI,2167
PEPit/functions/convex_indicator.py,sha256=kyuiE0-pXRausotZfgMFDp82BQS7FossG0RhARN6ccQ,2868
PEPit/functions/convex_lipschitz_function.py,sha256=pGxNfHSUPJ_6hIfmgLx0m2d5bvpIwptOSkIwg68Gc-Q,2839
PEPit/functions/convex_qg_function.py,sha256=_mruLyciEgCLkmxkd5WMgl-jN03V1BlXomDZvU-vDWg,3166
PEPit/functions/convex_support_function.py,sha256=6fwlkNTSfZvFYlD3ndG2So1dM4gCllCZzTvn_MPhAXU,2829
PEPit/functions/rsi_eb.py,sha256=7iRejX574QuSK5HPDLPzxgnMooTjDkDdcBHWeI80vFU,3226
PEPit/functions/smooth_convex_function.py,sha256=72_iCuM_eicUPcJDsLXVCky4xC0BQDMYh_UQpNRSz8w,2496
PEPit/functions/smooth_function.py,sha256=hK2eE8lUDSvps9r2wsybBWTqZCxDU_eEx6uNnGAk3G4,3216
PEPit/functions/smooth_strongly_convex_function.py,sha256=z2nWB9Mrc61NpZ4thyD5dMut-EA4ZB5U84J8ukndnNo,3681
PEPit/functions/strongly_convex.py,sha256=mHx_bXyI6wEruokZcwvBmZb6bbd2Iw750kD7UP0zMeI,2880
PEPit/operators/__init__.py,sha256=jEimsTtP0O0OGbnz3n2c-SHxTvkTOZ_uE32B8DEucAQ,541
PEPit/operators/cocoercive.py,sha256=UCDQdwZOwcNTMMbP3Kzp56J3LTr4Svx3cQB-jY0N1VY,3421
PEPit/operators/lipschitz.py,sha256=pqXPHwxJqCk0CgKt9cFStPpzTFqEQrerVZZMxQbk7Es,3871
PEPit/operators/lipschitz_strongly_monotone.py,sha256=6Ql0CY0PUvv2JECXvFhyiBrWVubTDKxKRtOGeagxJKI,4368
PEPit/operators/monotone.py,sha256=xP8xC9Q3CkAcRVcTQwWgbY4WaA2EjrmAKF4oT2CxaFg,2452
PEPit/operators/strongly_monotone.py,sha256=PMlPHe8KpDCu_7MC31Ld9V4y6xStqH9MwRcfi33F5tE,3036
PEPit/primitive_steps/__init__.py,sha256=CbUpKRsOT_8nPDQ6O98yVk6ievWIJbt9_A89shbYRI8,650
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/exact_linesearch_step.py,sha256=7z6amyM6DckVL9OrfXFDUave6C4KtHYHCuUrDl-GcEo,3353
PEPit/primitive_steps/inexact_gradient_step.py,sha256=btAEK2T6v14d8mSd_m_zglJM6YWTm0ybLjPkJstnhyg,2458
PEPit/primitive_steps/inexact_proximal_step.py,sha256=Ye2bKqZ23Dxv4fbg6p_Q_p_SYhjWXk0k8cyWNN18CnI,8111
PEPit/primitive_steps/linear_optimization_step.py,sha256=BpTvSYZI2rosUqpq6i1EgRZNkqsU7jJe0uEQJITo0do,1104
PEPit/primitive_steps/proximal_step.py,sha256=41aQHgHwor84XCK5nhO4ArbWfVOc2eF_vBnGeVqrM_Q,1305
PEPit/tools/__init__.py,sha256=U8m4CLEHySFL8CHrsrgFoDCj50vh-5rdMUXOaU7sLNM,191
PEPit/tools/dict_operations.py,sha256=EePyfEA3I37rwGY74NilUs1QlR8B7gtjLkUsaSXVPI8,2065
PEPit-0.1.0.dist-info/LICENSE,sha256=pHFsQZegk0Pfp3scVEfJyO30o2huVPNjGKQhoEzt5SU,1164
PEPit-0.1.0.dist-info/METADATA,sha256=VlUzG3v1lxv_mF9ZrF25ElPN-Dgq4LlklAGzf1F7uWA,25078
PEPit-0.1.0.dist-info/WHEEL,sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA,92
PEPit-0.1.0.dist-info/top_level.txt,sha256=RcN8eajOAtNTdmXsytwjEM8QN4LLp4Iwg3qIhVCAtBI,6
PEPit-0.1.0.dist-info/RECORD,,
