From 911ccc9070f46f49676da8492d7bbe7f570bf215 Mon Sep 17 00:00:00 2001 From: ManifoldFR Date: Mon, 18 Dec 2023 17:44:34 +0100 Subject: [PATCH] [examples] change references to proxnlp to proxsuite_nlp --- examples/l1_qp.py | 2 +- examples/solo_inverse_geom.py | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/examples/l1_qp.py b/examples/l1_qp.py index a6d792bd..efce0e4d 100644 --- a/examples/l1_qp.py +++ b/examples/l1_qp.py @@ -1,5 +1,5 @@ """ -Solve an L1-penalized QP using PROXNLP. +Solve an L1-penalized QP using proxsuite_nlp. """ import proxsuite_nlp import numpy as np diff --git a/examples/solo_inverse_geom.py b/examples/solo_inverse_geom.py index e7b4ed1a..ba70fa46 100644 --- a/examples/solo_inverse_geom.py +++ b/examples/solo_inverse_geom.py @@ -1,6 +1,6 @@ """ Inverse kinematics with friction cone constraint. -We compare PROXNLP with the solver IPOPT. +We compare proxsuite_nlp with the solver IPOPT. min Dq, f || q - q0 ||**2 + || f ||**2 @@ -213,7 +213,7 @@ def compute_cost(q_ref, fs): viz.display(qopt_ipopt) -# Problem PROXNLP +# Problem proxsuite_nlp xspace = MultibodyPhaseSpace(model) pb_space = VectorSpace(4 * 3 + (xspace.ndx))