Design engineer, visualization researcher.
Published
Edited
Jul 18, 2019
1 star
W = [[1.0, .62, 2.23],
[2.55, 1.0, 0.65],
[0.91, 2.19, 1.0]]
U = {
return matWeight(W, [[b,a,a],[a,b,a],[a,a,b]])
}
data = [iso(0,1), iso(1,2), iso(2,0)] // [[1,1,0], [1,0,1]]
clines = data.map((d,i) =>
ter.line(d.filter(p => p.every(c => c > -0.1))) // 2 of 3 candidates lie in the triangle's extent.
) // [d[i], d[(i+1)%3]] // brittle, works while limit cycle exists
pts = trace.map(s => ter.point(T(s))) // [ter.point(data[0][0])]
trace = {
let s = strategy.map(u => [u]), // as column vector
game = U, // linWeight([.1, .9], [U, I]), // control step size
trace = [s]
let T = 20, dt = .05
for (let t = 1; t < T/dt; ++t) {
let r = times(game, s)
s = s.map((x,i) => [(1 + r[i]*dt)*x] )
s = normalize(s) // FIXME: clamp dynamics to appropriate radius.
trace.push(s)
}
return trace
}
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