@@ -475,7 +475,9 @@ <h2>Nonlinear constraints and objectives<a class="headerlink" href="#nonlinear-c
475475 3 3.8770898e+00 5.62e-01 2.99e+02 -1.0 1.18e+00 2.0 1.00e+00 2.50e-01h 3
476476 4 5.5678044e+00 0.00e+00 1.11e+01 -1.0 1.24e+00 - 9.72e-01 1.00e+00H 1
477477 5 5.4931736e+00 0.00e+00 9.32e+00 -1.0 2.80e-01 1.5 1.00e+00 1.00e+00f 1
478- 6 5.4953247e+00 0.00e+00 2.96e-02 -1.0 5.50e-03 - 1.00e+00 1.00e+00h 1
478+ </ pre > </ div >
479+ </ div >
480+ < div class ="output stream highlight-myst-ansi notranslate "> < div class ="highlight "> < pre > < span > </ span > 6 5.4953247e+00 0.00e+00 2.96e-02 -1.0 5.50e-03 - 1.00e+00 1.00e+00h 1
479481 7 5.4427137e+00 0.00e+00 3.36e-03 -2.5 7.95e-02 - 9.84e-01 1.00e+00f 1
480482 8 5.4366982e+00 0.00e+00 4.18e-06 -3.8 7.75e-03 - 1.00e+00 1.00e+00h 1
481483 9 5.4365655e+00 0.00e+00 1.91e-08 -5.7 1.81e-04 - 1.00e+00 1.00e+00h 1
@@ -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) = 0.006
503505Total CPU secs in NLP function evaluations = 0.000
504506
505507EXIT: Optimal Solution Found.
@@ -595,18 +597,17 @@ <h2>Nonlinear constraints and objectives<a class="headerlink" href="#nonlinear-c
595597 5 1.3918726e-01 0.00e+00 6.51e+00 -1.7 3.49e-01 - 1.00e+00 5.00e-01f 2
596598 6 5.4940990e-02 0.00e+00 4.51e-01 -1.7 9.29e-02 - 1.00e+00 1.00e+00f 1
597599 7 2.9144630e-02 0.00e+00 2.27e+00 -1.7 2.49e-01 - 1.00e+00 5.00e-01f 2
598- </ pre > </ div >
599- </ div >
600- < div class ="output stream highlight-myst-ansi notranslate "> < div class ="highlight "> < pre > < span > </ span > 8 9.8586451e-03 0.00e+00 1.15e+00 -1.7 1.10e-01 - 1.00e+00 1.00e+00f 1
600+ 8 9.8586451e-03 0.00e+00 1.15e+00 -1.7 1.10e-01 - 1.00e+00 1.00e+00f 1
601601 9 2.3237475e-03 0.00e+00 1.00e+00 -1.7 1.00e-01 - 1.00e+00 1.00e+00f 1
602602iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls
603603 10 2.3797236e-04 0.00e+00 2.19e-01 -1.7 5.09e-02 - 1.00e+00 1.00e+00f 1
604604 11 4.9267371e-06 0.00e+00 5.95e-02 -1.7 2.53e-02 - 1.00e+00 1.00e+00f 1
605605 12 2.8189506e-09 0.00e+00 8.31e-04 -2.5 3.20e-03 - 1.00e+00 1.00e+00f 1
606606 13 9.6379884e-16 0.00e+00 8.68e-07 -5.7 9.78e-05 - 1.00e+00 1.00e+00f 1
607607 14 3.0814879e-29 0.00e+00 2.02e-13 -8.6 4.65e-08 - 1.00e+00 1.00e+00f 1
608-
609- Number of Iterations....: 14
608+ </ pre > </ div >
609+ </ div >
610+ < div class ="output stream highlight-myst-ansi notranslate "> < div class ="highlight "> < pre > < span > </ span > Number of Iterations....: 14
610611
611612 (scaled) (unscaled)
612613Objective...............: 3.0814879110195774e-29 3.0814879110195774e-29
@@ -623,7 +624,7 @@ <h2>Nonlinear constraints and objectives<a class="headerlink" href="#nonlinear-c
623624Number of equality constraint Jacobian evaluations = 0
624625Number of inequality constraint Jacobian evaluations = 0
625626Number of Lagrangian Hessian evaluations = 14
626- Total CPU secs in IPOPT (w/o function evaluations) = 0.003
627+ Total CPU secs in IPOPT (w/o function evaluations) = 0.005
627628Total CPU secs in NLP function evaluations = 0.000
628629
629630EXIT: Optimal Solution Found.
@@ -702,15 +703,14 @@ <h2>Mixing nonlinear and linear/quadratic constraints together<a class="headerli
702703
703704iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls
704705 0 3.5000000e+02 0.00e+00 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0
705- 1 3.5000000e+02 0.00e+00 0.00e+00 -1.7 0.00e+00 - 1.00e+00 1.00e+00 0
706706</ pre > </ div >
707707</ div >
708- < 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
708+ < 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
709+ 2 3.5000000e+02 0.00e+00 0.00e+00 -3.8 0.00e+00 -2.0 1.00e+00 1.00e+00T 0
709710 3 3.5000000e+02 0.00e+00 0.00e+00 -5.7 0.00e+00 0.2 1.00e+00 1.00e+00T 0
710711 4 3.5000000e+02 0.00e+00 0.00e+00 -8.6 0.00e+00 -0.2 1.00e+00 1.00e+00T 0
711- </ pre > </ div >
712- </ div >
713- < div class ="output stream highlight-myst-ansi notranslate "> < div class ="highlight "> < pre > < span > </ span > Number of Iterations....: 4
712+
713+ Number of Iterations....: 4
714714
715715 (scaled) (unscaled)
716716Objective...............: 3.5000000000000318e+02 3.5000000000000318e+02
@@ -728,7 +728,10 @@ <h2>Mixing nonlinear and linear/quadratic constraints together<a class="headerli
728728Number of inequality constraint Jacobian evaluations = 0
729729Number of Lagrangian Hessian evaluations = 4
730730Total CPU secs in IPOPT (w/o function evaluations) = 0.026
731- Total CPU secs in NLP function evaluations = 0.001
731+ Total CPU secs in NLP function evaluations
732+ </ pre > </ div >
733+ </ div >
734+ < div class ="output stream highlight-myst-ansi notranslate "> < div class ="highlight "> < pre > < span > </ span > = 0.001
732735
733736EXIT: Optimal Solution Found.
734737</ pre > </ div >
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