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Christoph Pahmeyer
Agricultural economics · Thünen Institute of Farm Economics / University Bonn
Public
Edited
Oct 25, 2023
11 stars
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Operations Research
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mutable supply = ({
'Seattle': 350,
'San-Diego': 600
})
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model = sets + supplyDemand + distances + costs + equations
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listing.solves.length // this will output the number of solves found in our listing file
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objective = listing.solves[0].objective // we get the objective value of the 0th position in the solves array
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table(
listing
.get('x')
.filter(r => r.level) // only show elements that have a value -> non-zero elements
.map(row => {
return {
'No. of cases': md`**${row.level}**`,
Route: md`**${row.domain.join(' to ')}**`
};
})
)
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NEOS = require('neos-js@0.1.2/dist/neos.min.js')
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gams = require('gams2js@0.0.2/dist/gams2js.min.js')
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Chart = {
const Chart = (window.Chart = await require("https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.9.4/Chart.bundle.js"));
await require("https://cdn.jsdelivr.net/npm/chartjs-plugin-dragdata@1.1.3/dist/chartjs-plugin-dragdata.min.js").catch(
() => {}
);

return Chart;
}
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