March 2014 update

This commit is contained in:
Ingy döt Net 2014-04-02 16:56:35 +00:00
parent 09687c4926
commit a25938f123
1846 changed files with 21876 additions and 5203 deletions

View file

@ -1,17 +1,14 @@
import std.stdio, std.random, std.math, std.algorithm, std.range;
real analytical(in int n) pure nothrow {
real total = 0.0;
foreach (immutable k; 1 .. n + 1) {
immutable x = reduce!q{a * b}(1.0L, iota(n - k + 1, n + 1))
* k ^^ 2;
total += x / ((cast(real)n) ^^ (k + 1));
}
return total;
real analytical(in int n) /*pure nothrow*/ {
enum aux = (int k)=> reduce!q{a * b}(1.0L, iota(n - k + 1, n + 1));
return iota(1, n + 1)
.map!(k => (aux(k) * k ^^ 2) / (real(n) ^^ (k + 1)))
.sum;
}
size_t loopLength(size_t maxN)(in int size, ref Xorshift rng) {
__gshared bool[maxN + 1] seen;
__gshared static bool[maxN + 1] seen;
seen[0 .. size + 1] = false;
int current = 1;
size_t steps = 0;
@ -34,8 +31,8 @@ void main() {
long total = 0;
foreach (immutable _; 0 .. nTrials)
total += loopLength!maxN(n, rng);
immutable average = total / cast(real)nTrials;
immutable an = analytical(n);
immutable average = total / real(nTrials);
immutable an = n.analytical;
immutable percentError = abs(an - average) / an * 100;
immutable errorS = format("%2.4f", percentError);
writefln("%3d %9.5f %12.5f (%7s%%)",

View file

@ -0,0 +1,14 @@
expected(n)=sum(i=1,n,n!/(n-i)!/n^i,0.);
test(n, times)={
my(ct);
for(i=1,times,
my(x=1,bits);
while(!bitand(bits,x),ct++; bits=bitor(bits,x); x = 1<<random(n))
);
ct
};
TIMES=1000000;
{for(n=1,20,
my(cnt=test(n, TIMES),avg=cnt/TIMES,ex=expected(n),diff=(avg/ex-1)*100.);
print(n"\t"avg*1."\t"ex*1."\t"diff);
)}

View file

@ -6,7 +6,8 @@ end
def rand_until_rep(n)
rands = {}
loop do r = rand(1..n)
loop do
r = rand(1..n)
return rands.size if rands[r]
rands[r] = true
end
@ -14,10 +15,11 @@ end
runs = 1_000_000
puts " n\tavg\texp.\tdiff\n_____________________________"
puts " N average exp. diff ",
"=== ======== ======== ==========="
(1..20).each do |n|
sum_of_runs = runs.times.inject(0){|sum, _| sum += rand_until_rep(n)}
avg = sum_of_runs / runs.to_f
analytical = (1..n).inject(0){|sum, i| sum += (n.factorial / (n**i).to_f / (n-i).factorial)}
puts "%2d %8.4f %8.4f %8.4f" % [n, avg, analytical, (avg/analytical - 1)*100]
puts "%3d %8.4f %8.4f (%8.4f%%)" % [n, avg, analytical, (avg/analytical - 1)*100]
end