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# Conflicts: # jsowell-ui/.env.development # jsowell-ui/.env.staging # jsowell-ui/bin/build-sit.bat # jsowell-ui/bin/build.bat # jsowell-ui/src/api/adapayMember/adapayMember.js # jsowell-ui/src/api/pile/merchant.js # jsowell-ui/src/router/index.js # jsowell-ui/src/views/financial/financeDetail.vue # jsowell-ui/src/views/financial/merchant.vue # jsowell-ui/src/views/homeIndex/homeIndex.vue # jsowell-ui/src/views/login.vue # jsowell-ui/src/views/pile/basic/detail.vue # jsowell-ui/src/views/pile/station/components/SiteInfo.vue # jsowell-ui/src/views/pile/station/detail.vue # jsowell-ui/src/views/pile/station/orderReport.vue
23 lines
683 B
JavaScript
23 lines
683 B
JavaScript
'use strict'
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/* A simple π estimation function using a Monte Carlo method
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* For 0 to `points`, take 2 random numbers < 1, square and add them to
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* find the area under that point in a 1x1 square. If that area is <= 1
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* then it's *within* a quarter-circle, otherwise it's outside.
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* Take the number of points <= 1 and multiply it by 4 and you have an
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* estimate!
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* Do this across multiple processes and average the results to
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* increase accuracy.
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*/
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module.exports = function (points, callback) {
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let inside = 0
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, i = points
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while (i--)
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if (Math.pow(Math.random(), 2) + Math.pow(Math.random(), 2) <= 1)
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inside++
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callback(null, (inside / points) * 4)
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}
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