Зав. лабораторией искусственного интеллекта и наукоемких решений @ВНИМИ, д. т. н.
Public
Edited
Dec 27, 2022
2 forks
bichoose = bis.indexOf(coolbio) + 1
bis = andata.map((e) => e.Bi).slice(1, -1)
d3.scaleLog().domain([0.1, 100]).range([0.1, 100])(50)
coords = theta(andata.map((e) => e.Bi)[bichoose], 0.1, 100, 1000)
output = coords.reduce((prev, curr) =>
Math.abs(curr.y - goal) < Math.abs(prev.y - goal) ? curr : prev
)
an = FileAttachment("an@1.xlsx").xlsx()
andata = an.sheet("Лист1", { headers: true })
Inputs.table(andata, { columns: andata.columns.slice(1) })
mu = FileAttachment("mu.xlsx").xlsx()
mudata = mu.sheet("Sheet1", { headers: true })
Inputs.table(mudata, { columns: mudata.columns.slice(1) })
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