Created
December 22, 2017 22:45
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require 'matrix' | |
require 'cmath' | |
def f2(n) | |
return n.odd? ? (n * 3 + 1) / 2 : n / 2 | |
end | |
def dense(w, d) | |
w2 = w - 1 | |
a = (0...w2).to_a | |
s = '0' * w2 | |
(1..(d * w - 1)).map { a.delete_at(rand(a.size)) }.each { |x| s[x, 1] = '1' } | |
return ('1' + s).to_i(2) | |
end | |
def stat(l) | |
l = [0] if (l.empty?) | |
t = t2 = 0 | |
l.each \ | |
{ | |
|x| | |
t += x | |
t2 += x ** 2 | |
} | |
c = l.size | |
a = t.to_f / c | |
z = t2.to_f / c - a ** 2 | |
sd = Math.sqrt(z < 0 ? 0 : z) | |
return a, sd, l.max.to_f, l.min.to_f | |
end | |
def stat2(l, t, n) | |
return Hash[[["a#{n}", "sd#{n}", "mx#{n}"], stat(l)[0..2].map { |x| x / t }].transpose] | |
end | |
def d(s) | |
c = s.split('').select { |x| x == '1' }.size | |
d = c.to_f / s.length | |
return d | |
end | |
def count(n) | |
c = 0 | |
n1 = n | |
l = [n] | |
c2 = nil | |
begin | |
n = f2(n) | |
l << n | |
c += 1 | |
c2 = c if (c2.nil? && n <= n1) | |
end while n != 1 | |
j = (0...l.size).max_by { |x| l[x] } | |
return {'c' => c, 'c2' => c2, 'n' => n1 , 'l' => l, 'j' => j} | |
end | |
def data(n) | |
ns = n.to_s(2) | |
nl = ns.length | |
m = nl / 2 | |
nsh = ns[0..m] | |
nsl = ns[m..-1] | |
asdm1 = stat2(ns.split(/0+/).map { |x| x.length }, nl, 1) | |
l1 = ns.split(/1+/) | |
l1.shift | |
asdm0 = stat2(l1.map { |x| x.length }, nl, 0) | |
return {'n' => n, 'ns' => ns, 'nl' => nl, 'd' => d(ns), 'dh' => d(nsh), 'dl' => d(nsl)}.merge(asdm1).merge(asdm0) | |
end | |
def data2(n) | |
return data(n).merge(count(n)) | |
end | |
def dist(c) | |
return (0...c).map { |i| count(dense(100, i.to_f / (c - 1))) } | |
end | |
def out(fn, l, t) | |
k = l[0].keys | |
f = File.open(fn, 'w') | |
f.puts(k.join("\t")) | |
l.each { |x| f.puts(x.values.join("\t")) } | |
f.close | |
f = File.open('gnuplot.cmd', 'a') | |
f.puts("set title '#{t}'; plot \\") | |
l = [] | |
(k - ['t']).each { |x| l << "'#{fn}' using (column('t')):(column('#{x}')) with line title '#{x}',\\" } | |
f.puts(l) | |
f.puts | |
f.puts("pause -1") | |
f.close | |
return l | |
end | |
def sum(l) | |
t = 0.0 | |
l.each { |x| t += x } | |
return t | |
end | |
def log2(x) | |
return Math.log(x) if (x > 0) | |
return 0 | |
end | |
def exp(x, t, v, d, vi, x0) | |
dt = d * t | |
return v * Matrix.diagonal(*(0...d.to_a.size).map { |i| CMath::exp(dt.row(i)[i]) }) * vi * x0 | |
end | |
def f(x, vi, d, x0) | |
a = vi * x | |
b = vi * x0 | |
Matrix[(0...d.to_a.size).map { |i| (a.row(i)[0] / b.row(i)[0])**(1/d.row(i)[i]) * x0.row(i)[0] }].transpose | |
end | |
def load(s) | |
raise if (s.nil?) | |
d = "out/#{s}" | |
l = Dir.glob("#{d}/*").select { |x| x =~ /out\d+.txt$/} | |
n = l.size | |
i = n - 1 | |
a = Kernel.eval(File.open("#{d}/out#{i}.txt").readlines[0]) | |
l = a['lb'].map { |x| x.size } | |
raise if (sum(l) != 0) | |
return a | |
end | |
a = load(s = ARGV[0]) | |
vx = a['v'] + ['wr'] | |
$vxn = Hash[[vx + ['c'], (0..vx.size).to_a].transpose] | |
am = (1..vx.size).map { [0] * vx.size } | |
vx.each { |x| (vx + ['c']).each { |y| am[$vxn[x]][$vxn[y]] = a[x][y] if (!a[x][y].nil?) } } | |
am = am.transpose | |
b = am.pop | |
am = am.transpose | |
v, d, vi = Matrix[*am].eigen | |
xz = (Matrix.identity(vx.size) - Matrix[*am]).inverse * Matrix[b].transpose | |
x1 = dist(500).max_by { |x| x['c'] } | |
$stderr.puts(["##{s}", x1.select { |k, | k != 'l'}].inspect) | |
x = data(x1['l'][0]).merge({'wr' => 1.0}) | |
x0 = Matrix[vx.map { |k| x[k] }].transpose - xz | |
am2 = (Matrix.identity(vx.size) - Matrix[*am]).to_a | |
v2, d2, vi2 = (Matrix[*am2]).eigen | |
m = d2.to_a.size | |
ei1 = (0...m).map { |i| d.row(i)[i] } | |
ei2 = (0...m).map { |i| d2.row(i)[i] } | |
n1 = (0...m).max_by { |x| ei1[x].abs } | |
n2 = (0...m).max_by { |x| ei2[x].abs } | |
$stderr.puts(['ei1', Hash[[vx, ei1].transpose]].inspect) | |
$stderr.puts(['ei2', Hash[[vx, ei2].transpose]].inspect) | |
$stderr.puts(['dom12', n1, n2].inspect) | |
raise if (n1 != n2) | |
x = (1..m).map { rand() - 0.5 } | |
t = rand(10) | |
y = exp(x, t, v2, d2, vi2, x0) | |
y1 = f(y, vi2, d2, x0) | |
y2 = Matrix[(0...m).map { |i| Math.exp(t) * x0.row(i)[0] }].transpose | |
$stderr.puts(['e12', (y1 - y2).column(0).norm].inspect) | |
l1 = [] | |
l2 = [] | |
ei2[n2] = -ei2[n2] | |
c = 110 | |
(c + 1).times \ | |
{ | |
|t| | |
n = x1['l'][t] | |
x = data(n).merge({'wr' => 1.0}) | |
y = Vector[*vx.map { |k| x[k] }] | |
at = v * (t == 0 ? Matrix.identity(m) : (d ** t)) * vi | |
y = at * x0 | |
# y += xz | |
l1 << Hash[[vx, y.transpose.to_a[0]].transpose].merge({'t' => t}) | |
z = vi2 * y | |
y2 = vi2 * x0 | |
r = (0...m).map { |i| z.row(i)[0] / y2.row(i)[0] } | |
y1 = (0...m).map { |i| r[i] ** (1 / ei2[i]) * x0.row(i)[0] } | |
l2 << Hash[[vx, y1].transpose].merge({'t' => t}) | |
} | |
File.open('gnuplot.cmd', 'w').close | |
out('out1.txt', l1, "A^nx ##{s}") | |
out('out2.txt', l2, "Sum(A^nx) ##{s}") | |
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