(P)RNG - Array of Random Numbers Created with a Seed
I want to create an array of random/pseudo-random numbers using a seed. I want the very same array to be created when the sa开发者_如何学编程me seed is used and I want to have little or no visible pattern in the array. I'm working in JavaScript.
This is the random function I'm using, which I'm quite happy with (sorry, I forgot who the original author is):
function random(seed) {
if (!seed) seed = new Date().getTime();
seed = (seed*9301+49297) % 233280;
return seed/(233280.0);
}
This is the array generation:
var superSeed = random();
var nRandom = 100;
var randomArray = new Array();
for (var i = 0 ; i < nRandom ; i++){
randomArray.push(random((superSeed*10)+ (i)));
}
Somehow the pattern seems to be quite similar, no matter how often I run it. This question seems to be similar, but since it's about matrixes, I don't understand what's being said.
Thanks!
Having worked on similar things before I think we can use a fairly simple series, which takes two initial values and then you can get a lot more.
var a1,b1;
function InitSequence(v1, v2) {
a1 = Math.pow(v1, 5) / Math.pow(v1, 3);
b1 = Math.pow(v2, 8);
lastrand = (a1 + b1) & 0x7fffffff;
}
function SequenceNext() {
var alast = a1;
var nextVal = (a1 + b1) & 0x7fffffff;
b1 = alast;
a1 = nextVal;
return nextVal;
}
Then use it like this:
InitSequence(75, 21);
for (var i = 0; i < 99; i++) {
v = SequenceNext();
}
I tested it like this:
var used = new Array();
InitSequence(75, 21); // any two values will do.
// fill 10k into array.
for (var i = 0; i < 9999; i++) {
v = SequenceNext();
if (undefined != used[v]) {
used[v]++;
} else used[v] = 1;
//document.write(i+": "+v+"<br>");
}
// see if there any duplicates.
var tdup = 0;
for (xx in used) {
ndup = used[xx];
if (ndup > 1) {
document.write("duplicated " + xx + " :" + ndup + "<br>");
tdup += ndup;
}
}
document.write("Total dups " + tdup + "<br>");
This is using the Fibonacci series, which in mathematical terms, the sequence Fn of Fibonacci numbers is defined by the recurrence relation
I like the "Super 7" PRNG. It is simple, fast (although the other answer with the fib. sequence is fast as well), and has the interesting property:
- In the entire range -- albeit of a meager of 32k -- there are no duplicates using the "Super 7" PRNG.
Multiple 7's can be joined to increase the number of bits and/or provide multiple seeds. This non-duplication property can exposed or folded.
(The sequence of a PRNG is always the same given a starting seed: it's the distribution and cycle lengths that are interesting -- it is these properties that may make them ideal in different cases where "true randomness" isn't desired).
Happy coding.
Maybe you should try this
function s_random() {
s_random.m = 71402523; s_random.a = 409647; s_random.c = 1508892;
s_random.seed = (s_random.seed*s_random.a + s_random.c) % s_random.m;
return s_random.seed / s_random.m;
}
/*
generate IV
s_random.seed = Math.floor((new Date).getTime()/10000);
*/
s_random.seed = 130324232;
var CheckRandom = 4999999; var PrintSamples = 100; var used = new Array();
for (var i = 0; i < CheckRandom; i++) {
v = (Math.ceil(Math.sqrt(s_random())* 1000000000) * 8);
if (undefined != used[v]) {
used[v]++;
} else used[v] = 1;
if ( i< PrintSamples) document.write(i+": "+v+"
");
}
/* see if there are any duplicates. */
var tdup = 0;
for (xx in used) {
ndup = used[xx];
if (ndup > 1) {
if (ndup < PrintSamples) document.write("duplicated " + xx + " :" + ndup + "
");
tdup += ndup;
}
}
document.write("Total generated " + CheckRandom + "
");
document.write("Total duplicates " + tdup + "
");
Just got 5 million seeded, repeatable random numbers and no duplicates. Tested several times on Mac OS X with Safari.
Cheers, Karl
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