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‎constraint.html‎

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No license found. Starting COPT with size limitations for non-commercial use
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<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;pyoptinterface._src.core_ext.ConstraintIndex at 0x7efe04856870&gt;
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‎examples/economic_dispatch.html‎

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0 14328.52 0 0.00s
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100 12722.021 1 0.00s
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TerminationStatusCode.OPTIMAL
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Objective value: 12684.0
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</pre></div>
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Model status : Optimal
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Model status : Optimal
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Simplex iterations: 63
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QP ASM iterations: 108
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Objective value : 1.2684000000e+04
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P-D objective error : 1.6461008020e-06
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HiGHS run time : 0.00
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TerminationStatusCode.OPTIMAL
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Objective value: 12684.0
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</pre></div>
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RHS [2e+01, 2e+02]
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Iteration Objective NullspaceDim
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0 15430.248 0 0.00s
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100 14091.031 3 0.01s
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100 14091.031 3 0.00s
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169 13740.237 10 0.01s
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Model status : Optimal
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Simplex iterations: 86
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QP ASM iterations: 169
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Objective value : 1.3740213571e+04
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P-D objective error : 1.6699127419e-06
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HiGHS run time : 0.01
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TerminationStatusCode.OPTIMAL
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Objective value: 13740.213571429404
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[[100. 100. 100. 100. 100.
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52.85719184 53.28576347 53.7143351 54.14290673]]
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Model status : Optimal
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Simplex iterations: 86
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QP ASM iterations: 169
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Objective value : 1.3740213571e+04
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P-D objective error : 1.6699127419e-06
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HiGHS run time : 0.01
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</pre></div>
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</section>

‎examples/optimal_control_rocket.html‎

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******************************************************************************
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>******************************************************************************
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This program contains Ipopt, a library for large-scale nonlinear optimization.
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Ipopt is released as open source code under the Eclipse Public License (EPL).
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For more information visit http://projects.coin-or.org/Ipopt
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Number of equality constraint Jacobian evaluations = 38
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Number of inequality constraint Jacobian evaluations = 0
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Number of Lagrangian Hessian evaluations = 37
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Total CPU secs in IPOPT (w/o function evaluations) = 0.344
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Total CPU secs in NLP function evaluations = 0.010
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Total CPU secs in IPOPT (w/o function evaluations) = 0.349
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Total CPU secs in NLP function evaluation
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</pre></div>
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>s = 0.010
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EXIT: Optimal Solution Found.
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‎examples/optimal_power_flow.html‎

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******************************************************************************
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>******************************************************************************
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This program contains Ipopt, a library for large-scale nonlinear optimization.
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Ipopt is released as open source code under the Eclipse Public License (EPL).
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For more information visit http://projects.coin-or.org/Ipopt
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Number of equality constraint Jacobian evaluations = 19
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Number of Lagrangian Hessian evaluations = 18
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Total CPU secs in IPOPT (w/o function evaluations) = 0.003
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Total CPU secs in IPOPT (w/o function evaluations) = 0.006
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EXIT: Optimal Solution Found.

‎expression.html‎

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Wall time: 689 μs
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Wall time: 725 μs
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Wall time: 15.1 ms
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‎getting_started.html‎

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Coefficient ranges:
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Matrix [1e+00, 1e+00]
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‎infeasibility.html‎

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Constraint 2 IIS: True
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No license found. LP size is limited to 10000 variables and 10000 constraints
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Model fingerprint: 43b22f9c

‎model.html‎

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Model status : Optimal
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‎nonlinear.html‎

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******************************************************************************
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>******************************************************************************
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This program contains Ipopt, a library for large-scale nonlinear optimization.
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Number of nonzeros in equality constraint Jacobian...: 0
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EXIT: Optimal Solution Found.
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Number of nonzeros in equality constraint Jacobian...: 8000
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0 3.5000000e+02 0.00e+00 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0
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EXIT: Optimal Solution Found.

‎numpy.html‎

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Status Optimal

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