@@ -479,7 +479,9 @@ <h2>Nonlinear constraints and objectives<a class="headerlink" href="#nonlinear-c
479479 7 5.4427137e+00 0.00e+00 3.36e-03 -2.5 7.95e-02 - 9.84e-01 1.00e+00f 1
480480 8 5.4366982e+00 0.00e+00 4.18e-06 -3.8 7.75e-03 - 1.00e+00 1.00e+00h 1
481481 9 5.4365655e+00 0.00e+00 1.91e-08 -5.7 1.81e-04 - 1.00e+00 1.00e+00h 1
482- iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls
482+ </ pre > </ div >
483+ </ div >
484+ < div class ="output stream highlight-myst-ansi notranslate "> < div class ="highlight "> < pre > < span > </ span > iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls
483485 10 5.4365636e+00 0.00e+00 3.26e-12 -8.6 2.72e-06 - 1.00e+00 1.00e+00h 1
484486
485487Number of Iterations....: 10
@@ -499,7 +501,7 @@ <h2>Nonlinear constraints and objectives<a class="headerlink" href="#nonlinear-c
499501Number of equality constraint Jacobian evaluations = 0
500502Number of inequality constraint Jacobian evaluations = 11
501503Number of Lagrangian Hessian evaluations = 10
502- Total CPU secs in IPOPT (w/o function evaluations) = 0.004
504+ Total CPU secs in IPOPT (w/o function evaluations) = 0.005
503505Total CPU secs in NLP function evaluations = 0.000
504506
505507EXIT: Optimal Solution Found.
@@ -622,8 +624,8 @@ <h2>Nonlinear constraints and objectives<a class="headerlink" href="#nonlinear-c
622624Number of equality constraint Jacobian evaluations = 0
623625Number of inequality constraint Jacobian evaluations = 0
624626Number of Lagrangian Hessian evaluations = 14
625- Total CPU secs in IPOPT (w/o function evaluations) = 0.006
626- Total CPU secs in NLP function evaluations = 0.002
627+ Total CPU secs in IPOPT (w/o function evaluations) = 0.007
628+ Total CPU secs in NLP function evaluations = 0.000
627629
628630EXIT: Optimal Solution Found.
629631</ pre > </ div >
@@ -701,10 +703,10 @@ <h2>Mixing nonlinear and linear/quadratic constraints together<a class="headerli
701703
702704iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls
703705 0 3.5000000e+02 0.00e+00 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0
706+ 1 3.5000000e+02 0.00e+00 0.00e+00 -1.7 0.00e+00 - 1.00e+00 1.00e+00 0
704707</ pre > </ div >
705708</ div >
706- < div class ="output stream highlight-myst-ansi notranslate "> < div class ="highlight "> < pre > < span > </ span > 1 3.5000000e+02 0.00e+00 0.00e+00 -1.7 0.00e+00 - 1.00e+00 1.00e+00 0
707- 2 3.5000000e+02 0.00e+00 0.00e+00 -3.8 0.00e+00 -2.0 1.00e+00 1.00e+00T 0
709+ < div class ="output stream highlight-myst-ansi notranslate "> < div class ="highlight "> < pre > < span > </ span > 2 3.5000000e+02 0.00e+00 0.00e+00 -3.8 0.00e+00 -2.0 1.00e+00 1.00e+00T 0
708710 3 3.5000000e+02 0.00e+00 0.00e+00 -5.7 0.00e+00 0.2 1.00e+00 1.00e+00T 0
709711 4 3.5000000e+02 0.00e+00 0.00e+00 -8.6 0.00e+00 -0.2 1.00e+00 1.00e+00T 0
710712
@@ -725,7 +727,7 @@ <h2>Mixing nonlinear and linear/quadratic constraints together<a class="headerli
725727Number of equality constraint Jacobian evaluations = 5
726728Number of inequality constraint Jacobian evaluations = 0
727729Number of Lagrangian Hessian evaluations = 4
728- Total CPU secs in IPOPT (w/o function evaluations) = 0.027
730+ Total CPU secs in IPOPT (w/o function evaluations) = 0.026
729731Total CPU secs in NLP function evaluations = 0.001
730732
731733EXIT: Optimal Solution Found.
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