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constraint.html

@@ -307,12 +307,12 @@ <h1>Constraint<a class="headerlink" href="#constraint" title="Link to this headi
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-03-19 06:57:19 [INFO] checks license for COPT v7.2.4 20241206
-2025-03-19 06:57:19 [WARN] no license files in current working folder: /home/runner/work/PyOptInterface/PyOptInterface/docs/source
-2025-03-19 06:57:19 [WARN] no license files in binary folder: /opt/hostedtoolcache/Python/3.12.9/x64/bin
-2025-03-19 06:57:19 [WARN] no license files in HOME folder: /home/runner/copt
-2025-03-19 06:57:19 [INFO] empty environment variable: COPT_LICENSE_DIR
-2025-03-19 06:57:19 [WARN] no license files in EV &#39;COPT_LICENSE_DIR&#39;: 
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-03-20 16:04:42 [INFO] checks license for COPT v7.2.4 20241206
+2025-03-20 16:04:42 [WARN] no license files in current working folder: /home/runner/work/PyOptInterface/PyOptInterface/docs/source
+2025-03-20 16:04:42 [WARN] no license files in binary folder: /opt/hostedtoolcache/Python/3.12.9/x64/bin
+2025-03-20 16:04:42 [WARN] no license files in HOME folder: /home/runner/copt
+2025-03-20 16:04:42 [INFO] empty environment variable: COPT_LICENSE_DIR
+2025-03-20 16:04:42 [WARN] no license files in EV &#39;COPT_LICENSE_DIR&#39;: 
 
 No license found. Starting COPT with size limitations for non-commercial use
 Please apply for a license from www.shanshu.ai/copt
@@ -624,7 +624,7 @@ <h2>Create constraint with comparison operator<a class="headerlink" href="#creat
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;pyoptinterface._src.core_ext.ConstraintIndex at 0x7fe090008930&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;pyoptinterface._src.core_ext.ConstraintIndex at 0x7f96a5720b30&gt;
 </pre></div>
 </div>
 </div>

container.html

@@ -498,9 +498,7 @@ <h2>Building a model with <code class="docutils literal notranslate"><span class
         200        3.3333335              100      0.00s
         300        2.3611112              150      0.01s
         360        2.0000001              180      0.01s
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Model status        : Optimal
+Model status        : Optimal
 QP ASM    iterations: 360
 Objective value     :  2.0000000000e+00
 HiGHS run time      :          0.01

examples/economic_dispatch.html

@@ -420,11 +420,11 @@ <h2>Implementation<a class="headerlink" href="#implementation" title="Link to th
         108        12684.021                0      0.00s
 Model status        : Optimal
 Simplex   iterations: 63
+TerminationStatusCode.OPTIMAL
+Objective value:  12684.0
 QP ASM    iterations: 108
 Objective value     :  1.2684000000e+04
 HiGHS run time      :          0.00
-TerminationStatusCode.OPTIMAL
-Objective value:  12684.0
 </pre></div>
 </div>
 </div>
@@ -488,7 +488,7 @@ <h2>Change the load and solve the model again<a class="headerlink" href="#change
   RHS    [2e+01, 2e+02]
   Iteration        Objective     NullspaceDim
           0        15430.248                0      0.00s
-        100        14091.031                3      0.00s
+        100        14091.031                3      0.01s
         169        13740.237               10      0.01s
 Model status        : Optimal
 Simplex   iterations: 86

examples/optimal_control_rocket.html

@@ -480,7 +480,7 @@ <h2>Implementation<a class="headerlink" href="#implementation" title="Link to th
 Number of equality constraint Jacobian evaluations   = 24
 Number of inequality constraint Jacobian evaluations = 0
 Number of Lagrangian Hessian evaluations             = 23
-Total CPU secs in IPOPT (w/o function evaluations)   =      0.118
+Total CPU secs in IPOPT (w/o function evaluations)   =      0.117
 Total CPU secs in NLP function evaluations           =      0.005
 
 EXIT: Optimal Solution Found.

examples/optimal_power_flow.html

@@ -608,8 +608,8 @@ <h2>Implementation<a class="headerlink" href="#implementation" title="Link to th
 Number of equality constraint Jacobian evaluations   = 19
 Number of inequality constraint Jacobian evaluations = 19
 Number of Lagrangian Hessian evaluations             = 18
-Total CPU secs in IPOPT (w/o function evaluations)   =      0.010
-Total CPU secs in NLP function evaluations           =      0.001
+Total CPU secs in IPOPT (w/o function evaluations)   =      0.006
+Total CPU secs in NLP function evaluations           =      0.000
 
 EXIT: Optimal Solution Found.
 </pre></div>

expression.html

@@ -364,8 +364,8 @@ <h2>Efficient expression construction<a class="headerlink" href="#efficient-expr
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>CPU times: user 716 μs, sys: 0 ns, total: 716 μs
-Wall time: 720 μs
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>CPU times: user 735 μs, sys: 0 ns, total: 735 μs
+Wall time: 737 μs
 </pre></div>
 </div>
 </div>
@@ -377,8 +377,8 @@ <h2>Efficient expression construction<a class="headerlink" href="#efficient-expr
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>CPU times: user 20.3 ms, sys: 18 μs, total: 20.3 ms
-Wall time: 20.1 ms
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>CPU times: user 20.1 ms, sys: 22 μs, total: 20.1 ms
+Wall time: 19.9 ms
 </pre></div>
 </div>
 </div>

infeasibility.html

@@ -317,12 +317,12 @@ <h1>Infeasibility Analysis<a class="headerlink" href="#infeasibility-analysis" t
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Constraint 1 IIS: True2025-03-19 06:57:30 [INFO] checks license for COPT v7.2.4 20241206
-2025-03-19 06:57:30 [WARN] no license files in current working folder: /home/runner/work/PyOptInterface/PyOptInterface/docs/source
-2025-03-19 06:57:30 [WARN] no license files in binary folder: /opt/hostedtoolcache/Python/3.12.9/x64/bin
-2025-03-19 06:57:30 [WARN] no license files in HOME folder: /home/runner/copt
-2025-03-19 06:57:30 [INFO] empty environment variable: COPT_LICENSE_DIR
-2025-03-19 06:57:30 [WARN] no license files in EV &#39;COPT_LICENSE_DIR&#39;: 
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Constraint 1 IIS: True2025-03-20 16:04:50 [INFO] checks license for COPT v7.2.4 20241206
+2025-03-20 16:04:50 [WARN] no license files in current working folder: /home/runner/work/PyOptInterface/PyOptInterface/docs/source
+2025-03-20 16:04:50 [WARN] no license files in binary folder: /opt/hostedtoolcache/Python/3.12.9/x64/bin
+2025-03-20 16:04:50 [WARN] no license files in HOME folder: /home/runner/copt
+2025-03-20 16:04:50 [INFO] empty environment variable: COPT_LICENSE_DIR
+2025-03-20 16:04:50 [WARN] no license files in EV &#39;COPT_LICENSE_DIR&#39;: 
 
 No license found. Starting COPT with size limitations for non-commercial use
 Please apply for a license from www.shanshu.ai/copt

model.html

@@ -422,8 +422,8 @@ <h2>Inspect and customize the model<a class="headerlink" href="#inspect-and-cust
   Bound  [1e+00, 1e+00]
   RHS    [1e+00, 1e+00]
   Iteration        Objective     NullspaceDim
-Objective value: 0.49999999999999994
           0                1                0      0.00s
+Objective value: 0.49999999999999994
           2       0.50000002                1      0.00s
 Model status        : Optimal
 QP ASM    iterations: 2

nonlinear.html

@@ -532,9 +532,7 @@ <h2>Nonlinear constraints and objectives<a class="headerlink" href="#nonlinear-c
    4  5.5678044e+00 0.00e+00 1.11e+01  -1.0 1.24e+00    -  9.72e-01 1.00e+00H  1
    5  5.4931736e+00 0.00e+00 9.32e+00  -1.0 2.80e-01   1.5 1.00e+00 1.00e+00f  1
    6  5.4953247e+00 0.00e+00 2.96e-02  -1.0 5.50e-03    -  1.00e+00 1.00e+00h  1
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>   7  5.4427137e+00 0.00e+00 3.36e-03  -2.5 7.95e-02    -  9.84e-01 1.00e+00f  1
+   7  5.4427137e+00 0.00e+00 3.36e-03  -2.5 7.95e-02    -  9.84e-01 1.00e+00f  1
    8  5.4366982e+00 0.00e+00 4.18e-06  -3.8 7.75e-03    -  1.00e+00 1.00e+00h  1
    9  5.4365655e+00 0.00e+00 1.91e-08  -5.7 1.81e-04    -  1.00e+00 1.00e+00h  1
 iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
@@ -557,7 +555,7 @@ <h2>Nonlinear constraints and objectives<a class="headerlink" href="#nonlinear-c
 Number of equality constraint Jacobian evaluations   = 0
 Number of inequality constraint Jacobian evaluations = 11
 Number of Lagrangian Hessian evaluations             = 10
-Total CPU secs in IPOPT (w/o function evaluations)   =      0.004
+Total CPU secs in IPOPT (w/o function evaluations)   =      0.008
 Total CPU secs in NLP function evaluations           =      0.000
 
 EXIT: Optimal Solution Found.
@@ -681,8 +679,9 @@ <h2>Nonlinear constraints and objectives<a class="headerlink" href="#nonlinear-c
   12  2.8189505e-09 0.00e+00 8.31e-04  -2.5 3.20e-03    -  1.00e+00 1.00e+00f  1
   13  1.0095040e-15 0.00e+00 8.68e-07  -5.7 9.78e-05    -  1.00e+00 1.00e+00f  1
   14  1.3288608e-28 0.00e+00 2.02e-13  -8.6 4.65e-08    -  1.00e+00 1.00e+00f  1
-
-Number of Iterations....: 14
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Number of Iterations....: 14
 
                                    (scaled)                 (unscaled)
 Objective...............:   1.3288608467480825e-28    1.3288608467480825e-28
@@ -699,7 +698,7 @@ <h2>Nonlinear constraints and objectives<a class="headerlink" href="#nonlinear-c
 Number of equality constraint Jacobian evaluations   = 0
 Number of inequality constraint Jacobian evaluations = 0
 Number of Lagrangian Hessian evaluations             = 14
-Total CPU secs in IPOPT (w/o function evaluations)   =      0.003
+Total CPU secs in IPOPT (w/o function evaluations)   =      0.002
 Total CPU secs in NLP function evaluations           =      0.000
 
 EXIT: Optimal Solution Found.
@@ -786,9 +785,8 @@ <h2>Mixing nonlinear and linear/quadratic constraints together<a class="headerli
    2  3.5000000e+02 0.00e+00 0.00e+00  -3.8 0.00e+00  -2.0 1.00e+00 1.00e+00T  0
    3  3.5000000e+02 0.00e+00 0.00e+00  -5.7 0.00e+00   0.2 1.00e+00 1.00e+00T  0
    4  3.5000000e+02 0.00e+00 0.00e+00  -8.6 0.00e+00  -0.2 1.00e+00 1.00e+00T  0
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Number of Iterations....: 4
+
+Number of Iterations....: 4
 
                                    (scaled)                 (unscaled)
 Objective...............:   3.5000000000000318e+02    3.5000000000000318e+02
@@ -805,7 +803,7 @@ <h2>Mixing nonlinear and linear/quadratic constraints together<a class="headerli
 Number of equality constraint Jacobian evaluations   = 5
 Number of inequality constraint Jacobian evaluations = 0
 Number of Lagrangian Hessian evaluations             = 4
-Total CPU secs in IPOPT (w/o function evaluations)   =      0.025
+Total CPU secs in IPOPT (w/o function evaluations)   =      0.022
 Total CPU secs in NLP function evaluations           =      0.001
 
 EXIT: Optimal Solution Found.

numpy.html

@@ -384,7 +384,7 @@ <h2>N-queen problem<a class="headerlink" href="#n-queen-problem" title="Link to
                     0 (bound viol.)
                     0 (int. viol.)
                     0 (row viol.)
-  Timing            0.07 (total)
+  Timing            0.08 (total)
                     0.00 (presolve)
                     0.00 (solve)
                     0.00 (postsolve)
@@ -451,7 +451,9 @@ <h2>Built-in functions to add variables and constraints as Numpy <code class="do
 </pre></div>
 </div>
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Hessian has dimension 8 but no nonzeros, so is ignored
-Coefficient ranges:
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Coefficient ranges:
   Matrix [1e+00, 1e+00]
   Cost   [1e+00, 1e+00]
   Bound  [0e+00, 0e+00]