Convex1d.jl

Convex optimization in one dimension
Author jw3126
Popularity
0 Stars
Updated Last
6 Months Ago
Started In
May 2020

Convex1d

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Usage

using Convex1d

sol = minimize(x -> x^2, (-1, 2), atol=1e-10)
@assert isapprox(sol.minimizer, 0, atol=1e-10)