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README.md

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@@ -13,7 +13,7 @@ This library is composed of 2 modules:
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* IBM® Decision Optimization CPLEX Optimizer Modeling for Python - with namespace docplex.mp
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* IBM® Decision Optimization CP Optimizer Modeling for Python - with namespace docplex.cp
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Solving with CPLEX locally requires that IBM® ILOG CPLEX Optimization Studio V12.6.3 or V12.7.0
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Solving with CPLEX locally requires that IBM® ILOG CPLEX Optimization Studio V12.8.0
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is installed on your machine.
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Solving with the IBM Decision Optimization on Cloud service requires that you

examples/mp/jupyter/nurses_scheduling.ipynb

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" relaxer = Relaxer(prioritizer='match', verbose=True)\n",
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" # self.enable_trace()\n",
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" #self.parameters.mip.tolerances.mipgap = 0.03 # 3%\n",
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" relaxed_sol = relaxer.relax(mdl)\n",
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" relaxed_sol = relaxer.relax(mdl, url=url, key=key)\n",
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" relaxed_ok = relaxed_sol is not None\n",
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" assert relaxed_ok, \"relaxation failed\"\n",
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" relaxer.print_information()\n",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.11"
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"version": "2.7.13"
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}
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},
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"nbformat": 4,

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