Looking for a really fast implementation of factorial function in JavaScript. Any suggests?
This question is related to
javascript
math
factorial
Well this question has more than enough answers, but just to post a readable, fast and short solution for factorial and reverse factorial.
{
const cache = [1, 1];
let i = 2;
function factorial(n) {
if (!isFinite(n = parseInt(n)) || n < 0)
throw new Error('argument for factorial has to be a positive finite integer but was ' + n);
for (; i <= n; i++)
cache[i] = cache[i - 1] * i;
return cache[n];
}
function reverseFactorial(n) {
if (!isFinite(n = parseFloat(n)) || n < 0)
throw new Error('argument for reverseFactorial has to be a positive finite floatingpoint number but was ' + n);
let f = 1;
while (true)
if (factorial(++f) >= n)
return f - 1; // lower bound (f! which will fit in the given n, for upper bound just return f)
}
}
reverseFactorial
will return an k
which is the biggest k!
which fits in the given n.
Both functions profit of the cache build by factorial
.
If you want to test it a little:
for (let i = 0; i < 10; i++) {
let random = Math.random() * 100;
random = factorial(random) * Math.random() * random;
const reverse = reverseFactorial(random);
const resultOfReverse = factorial(reverse);
function expo(x) {
return x.toExponential(2);
}
console.log('%s fits %d! which is %s (upper bound %d! is %s)', expo(random), reverse, expo(resultOfReverse), reverse + 1, expo(factorial(reverse + 1)));
}
It would be probably very simple at first and maybe from this short code you would set it more better depend of your needs :
<body>
<button onclick="fact()">Open the Prompt</button>
<h2 id="output"></h2>
<script>
function fact(){
var enter=prompt("Enter You Factorial Number Bellow :","");
var Num_enter=Number(enter);
for (var i=1,FactNumber=1;i<=Num_enter;i++){
FactNumber=FactNumber*i;
}
if(Num_enter){
document.getElementById("output").textContent="the factorial of "+ Num_enter + " is: "+Num_enter+"!= "+ FactNumber;
}
}
</script>
</body>
Lookup table is the obvious way to go, if you're working with natural numbers. To calculate any factorial in real-time, you can speed it with a cache, saving the numbers you've calculated before. Something like:
factorial = (function() {
var cache = {},
fn = function(n) {
if (n === 0) {
return 1;
} else if (cache[n]) {
return cache[n];
}
return cache[n] = n * fn(n -1);
};
return fn;
})();
You can precalculate some values in order to speed it even more.
Iterative:
Math.factorial=n=>{for(var o=n;n>1;)o*=--n;return o};
Recursive:
Math.factorial=n=>n>1?n--*Math.fac(n):1;
Precalculated:
(_=>{let f=[],i=0;for(;i<171;i++)f[i]=(n=>{for(var o=n;n>1;)o*=--n;return o})(i);Math.factorial=n=>{n=Math.round(n);return n<171?f[n]:Infinity}})();
https://code.sololearn.com/Wj4rlA27C9fD. Here I might post more solutions.
This is the simplest way I know of to make a factorial function
function factorial(num) {
var result = 1;
for(var i = 2; i<= num; i++) {
result *= i;
}
return result;
}
This is an iterative solution that uses less stack space and save previously computed values in a self-memoizing way:
Math.factorial = function(n){
if(this.factorials[n]){ // memoized
return this.factorials[n];
}
var total=1;
for(var i=n; i>0; i--){
total*=i;
}
this.factorials[n] = total; // save
return total;
};
Math.factorials={}; // store
Also note that I am adding this to the Math object which is an object literal so there is no prototype. Rather just binding these to the function directly.
While all the above ones are good, but they all seem too long for me, so I made my own.
function factorial(n) { //"n" is the number used in the factorial
var ans = 1, //define the base variables
neg = false,
n = Math.round(n);
if (n<0 || !n) neg = true; //check if the number is negative or if the number doesn't exist
for (var i=1;i<=n;i++) ans *= i; //the actual repeating code, won't run if the number is less than or equal to 0
return neg ? NaN : ans; //return the answer if the original was positive
}
The way the for
loop works will automatically not do anything to any number below 1. So basically "if (The Number) is less than or equal to 0
, then return 1
.
The lines if (n<0 || !n) neg = true;
and return neg ? NaN : ans;
work together to say "If the number is a negative, then return NaN
(Not a Number)". These also check to see if the number even exists, and will return the NaN
(Not a Number) if the number doesn't exist.
At least on Chrome v50.0.2661.86 (64-bit), it has a max of 170. So if you run this function on a number higher than 170 (171 for example), it will return infinity
.
Exploiting the fact that Number.MAX_VALUE < 171!
, we can simply use a complete lookup table consisting of just 171 compact array elements taking up less than 1.4 kilobytes of memory.
A fast lookup function with runtime complexity O(1) and minimal array access overhead would then look as follows:
// Lookup table for n! for 0 <= n <= 170:_x000D_
const factorials = [1,1,2,6,24,120,720,5040,40320,362880,3628800,39916800,479001600,6227020800,87178291200,1307674368e3,20922789888e3,355687428096e3,6402373705728e3,121645100408832e3,243290200817664e4,5109094217170944e4,1.1240007277776077e21,2.585201673888498e22,6.204484017332394e23,1.5511210043330986e25,4.0329146112660565e26,1.0888869450418352e28,3.0488834461171387e29,8.841761993739702e30,2.6525285981219107e32,8.222838654177922e33,2.631308369336935e35,8.683317618811886e36,2.9523279903960416e38,1.0333147966386145e40,3.7199332678990125e41,1.3763753091226346e43,5.230226174666011e44,2.0397882081197444e46,8.159152832478977e47,3.345252661316381e49,1.40500611775288e51,6.041526306337383e52,2.658271574788449e54,1.1962222086548019e56,5.502622159812089e57,2.5862324151116818e59,1.2413915592536073e61,6.082818640342675e62,3.0414093201713376e64,1.5511187532873822e66,8.065817517094388e67,4.2748832840600255e69,2.308436973392414e71,1.2696403353658276e73,7.109985878048635e74,4.0526919504877214e76,2.3505613312828785e78,1.3868311854568984e80,8.32098711274139e81,5.075802138772248e83,3.146997326038794e85,1.98260831540444e87,1.2688693218588417e89,8.247650592082472e90,5.443449390774431e92,3.647111091818868e94,2.4800355424368305e96,1.711224524281413e98,1.1978571669969892e100,8.504785885678623e101,6.1234458376886085e103,4.4701154615126844e105,3.307885441519386e107,2.48091408113954e109,1.8854947016660504e111,1.4518309202828587e113,1.1324281178206297e115,8.946182130782976e116,7.156945704626381e118,5.797126020747368e120,4.753643337012842e122,3.945523969720659e124,3.314240134565353e126,2.81710411438055e128,2.4227095383672734e130,2.107757298379528e132,1.8548264225739844e134,1.650795516090846e136,1.4857159644817615e138,1.352001527678403e140,1.2438414054641308e142,1.1567725070816416e144,1.087366156656743e146,1.032997848823906e148,9.916779348709496e149,9.619275968248212e151,9.426890448883248e153,9.332621544394415e155,9.332621544394415e157,9.42594775983836e159,9.614466715035127e161,9.90290071648618e163,1.0299016745145628e166,1.081396758240291e168,1.1462805637347084e170,1.226520203196138e172,1.324641819451829e174,1.4438595832024937e176,1.588245541522743e178,1.7629525510902446e180,1.974506857221074e182,2.2311927486598138e184,2.5435597334721877e186,2.925093693493016e188,3.393108684451898e190,3.969937160808721e192,4.684525849754291e194,5.574585761207606e196,6.689502913449127e198,8.094298525273444e200,9.875044200833601e202,1.214630436702533e205,1.506141741511141e207,1.882677176888926e209,2.372173242880047e211,3.0126600184576594e213,3.856204823625804e215,4.974504222477287e217,6.466855489220474e219,8.47158069087882e221,1.1182486511960043e224,1.4872707060906857e226,1.9929427461615188e228,2.6904727073180504e230,3.659042881952549e232,5.012888748274992e234,6.917786472619489e236,9.615723196941089e238,1.3462012475717526e241,1.898143759076171e243,2.695364137888163e245,3.854370717180073e247,5.5502938327393044e249,8.047926057471992e251,1.1749972043909107e254,1.727245890454639e256,2.5563239178728654e258,3.80892263763057e260,5.713383956445855e262,8.62720977423324e264,1.3113358856834524e267,2.0063439050956823e269,3.0897696138473508e271,4.789142901463394e273,7.471062926282894e275,1.1729568794264145e278,1.853271869493735e280,2.9467022724950384e282,4.7147236359920616e284,7.590705053947219e286,1.2296942187394494e289,2.0044015765453026e291,3.287218585534296e293,5.423910666131589e295,9.003691705778438e297,1.503616514864999e300,2.5260757449731984e302,4.269068009004705e304,7.257415615307999e306];_x000D_
_x000D_
// Lookup function:_x000D_
function factorial(n) {_x000D_
return factorials[n] || (n > 170 ? Infinity : NaN);_x000D_
}_x000D_
_x000D_
// Test cases:_x000D_
console.log(factorial(NaN)); // NaN_x000D_
console.log(factorial(-Infinity)); // NaN_x000D_
console.log(factorial(-1)); // NaN_x000D_
console.log(factorial(0)); // 1_x000D_
console.log(factorial(170)); // 7.257415615307999e+306 < Number.MAX_VALUE_x000D_
console.log(factorial(171)); // Infinity > Number.MAX_VALUE_x000D_
console.log(factorial(Infinity)); // Infinity
_x000D_
This is as precise and as fast as it gets using the Number
datatype. Computing the lookup table in Javascript - as some other answers suggest - will reduce precision when n! > Number.MAX_SAFE_INTEGER
.
Compressing the runtime table via gzip reduces its size on disk from about 3.6 to 1.8 kilobytes.
You can use
function factorial(n) {
return [...Array(n+1).keys()].slice(1).reduce( (a,b) => a * b, 1 );
}
var factorial = function(numToBeFactored)
{
if (numToBeFactored == 0)
return 1;
var numLength = 0;
var numBeingFactored = 1;
/*goes through the loop numToBeFactored times and each time multiplies numBeingFactored by one less than the last loop*/
for (numLength = 0; numLength < numToBeFactored; numLength++)
{
numBeingFactored *= (numToBeFactored - numLength);
}
return numBeingFactored;
};
You should use a loop.
Here are two versions benchmarked by calculating the factorial of 100 for 10.000 times.
Recursive
function rFact(num)
{
if (num === 0)
{ return 1; }
else
{ return num * rFact( num - 1 ); }
}
Iterative
function sFact(num)
{
var rval=1;
for (var i = 2; i <= num; i++)
rval = rval * i;
return rval;
}
Live at : http://jsfiddle.net/xMpTv/
My results show:
- Recursive ~ 150 milliseconds
- Iterative ~ 5 milliseconds..
var factorial = (function() {
var cache = [1];
return function(value) {
for (var index = cache.length; index <= value; index++) {
cache[index] = index * cache[index - 1]
}
return cache[value];
}
})();
I find this useful in same cases:
function factorialDivision(n, d) {
var value = 1;
for (d++ < n) {
value *= d;
}
return value;
}
I still think Margus's answer is the best one. However if you want to calculate the factorials of numbers within the range 0 to 1 (ie the gamma function) as well, then you cannot use that approach because the lookup table will have to contain infinite values.
However, you can approximate the values of the factorials, and it's pretty fast, faster than recursively calling itself or looping it at least (especially when values start to get bigger).
A good approximation method is Lanczos's one
Here is an implementation in JavaScript (ported from a calculator I wrote months ago):
function factorial(op) {
// Lanczos Approximation of the Gamma Function
// As described in Numerical Recipes in C (2nd ed. Cambridge University Press, 1992)
var z = op + 1;
var p = [1.000000000190015, 76.18009172947146, -86.50532032941677, 24.01409824083091, -1.231739572450155, 1.208650973866179E-3, -5.395239384953E-6];
var d1 = Math.sqrt(2 * Math.PI) / z;
var d2 = p[0];
for (var i = 1; i <= 6; ++i)
d2 += p[i] / (z + i);
var d3 = Math.pow((z + 5.5), (z + 0.5));
var d4 = Math.exp(-(z + 5.5));
d = d1 * d2 * d3 * d4;
return d;
}
You can now do cool stuff like factorial(0.41)
, etc however accuracy might be a little off, after all, it is an approximation of the result.
Behold, the memoizer, which takes any single-argument function and memoizes it. Turns out to be marginally faster than @xPheRe's solution, including the limit on the size of the cache and associated checking, because I use shortcircuiting and so on.
function memoize(func, max) {
max = max || 5000;
return (function() {
var cache = {};
var remaining = max;
function fn(n) {
return (cache[n] || (remaining-- >0 ? (cache[n]=func(n)) : func(n)));
}
return fn;
}());
}
function fact(n) {
return n<2 ? 1: n*fact(n-1);
}
// construct memoized version
var memfact = memoize(fact,170);
// xPheRe's solution
var factorial = (function() {
var cache = {},
fn = function(n) {
if (n === 0) {
return 1;
} else if (cache[n]) {
return cache[n];
}
return cache[n] = n * fn(n -1);
};
return fn;
}());
Approximately 25x faster on my machine in Chrome than the recursive version, and 10% faster than xPheRe's.
It is very simple using ES6
const factorial = n => n ? (n * factorial(n-1)) : 1;
See an example here
One line solution for Iterative and Recursive options;
const rf = n => 1 === n ? 1 : rf( n - 1 ) * n;
const sf = n => {for (var i = n, c = 1; i > 1; i --) c *= i; return c;}
I think that this loop-based version might be the fastest factorial function.
function factorial(n, r = 1) {
while (n > 0) r *= n--;
return r;
}
// Default parameters `r = 1`,
// was introduced in ES6
And here is my reasoning:
for
loops and while
loops have similar performance, a for
loop without an initialization-expression and final-expression looks odd; probably better to write for(; n > 0;)
as while(n > 0)
n
and r
are used, so in theory less parameters means less time spent allocating memoryn
is zero - I've heard theories that computers are better at checking binary numbers (0 and 1) than they are at checking other integersfunction isNumeric(n) {
return !isNaN(parseFloat(n)) && isFinite(n)
}
Provided by http://javascript.info/tutorial/number-math as a simple way to evaluate if an object is a proper integer for calculation.
var factorials=[[1,2,6],3];
A simple set of Memoized factorials that require redundant calculations, may be processed with "multiply by 1", or are one digit that is a simple equation not worth processing live.
var factorial = (function(memo,n) {
this.memomize = (function(n) {
var ni=n-1;
if(factorials[1]<n) {
factorials[0][ni]=0;
for(var factorial_index=factorials[1]-1;factorials[1]<n;factorial_index++) {
factorials[0][factorials[1]]=factorials[0][factorial_index]*(factorials[1]+1);
factorials[1]++;
}
}
});
this.factorialize = (function(n) {
return (n<3)?n:(factorialize(n-1)*n);
});
if(isNumeric(n)) {
if(memo===true) {
this.memomize(n);
return factorials[0][n-1];
}
return this.factorialize(n);
}
return factorials;
});
After reviewing the input from other members (excluding the Log advice, although I may implement that later) I went ahead and threw together a script that is fairly simple. I started with a simple uneducated JavaScript OOP example and built a little class to handle factorials. I then implemented my version of the Memoization that was suggested above. I also implemented the shorthand Factorialization however I made a small error adjustment; I changed the "n<2" to "n<3". "n<2" would still process n=2 which would be a waste, because you would iterate for a 2*1=2; this is a waste in my opinion. I altered it to "n<3"; because if n is 1 or 2 it will simply return n, if it is 3 or more it will evaluate normally. Of course as rules apply, I placed my functions in descending order of assumed execution. I added in the bool(true|false) option to allow quick altering between memo'ed and normal execution (You just never know when you want to swap around on your page without needing to change the "style") As I said before the memoized factorials variable is set with the 3 starting positions, taking 4 characters, and minimizing wasteful calculations. Everything past the third iteration you are handling double digit math plus. I figure if you where a stickler enough about it you would run on a factorial table (as implemented).
What have I planned after this? local&|session storage to allow for a case by case cache of needed iterations, essentially handling the "table" issue spoken above. This would also massively save database and server side space. However, if you go with localStorage you would essentially be sucking up space on your users computer simply to store a list of numbers and make their screen LOOK faster, however over a long period of time with an immense need this would be slow. I am thinking sessionStorage (clearing after Tab leaves) would be a much better route. Possibly combine this with a self balancing server/local dependent cache? User A needs X iterations. User B need Y iterations. X+Y/2=Amount needed locally cached. Then just detect and fiddle with load-time and execute-time benchmarks live for every user until it adjusts itself to optimization for the site itself. Thanks!
Edit 3:
var f=[1,2,6];
var fc=3;
var factorial = (function(memo) {
this.memomize = (function(n) {
var ni=n-1;
if(fc<n) {
for(var fi=fc-1;fc<n;fi++) {
f[fc]=f[fi]*(fc+1);
fc++;
}
}
return f[ni];
});
this.factorialize = (function(n) {
return (n<3)?n:(factorialize(n-1)*n);
});
this.fractal = (function (functio) {
return function(n) {
if(isNumeric(n)) {
return functio(n);
}
return NaN;
}
});
if(memo===true) {
return this.fractal(memomize);
}
return this.fractal(factorialize);
});
This edit implements another Stack suggestion and allows me to call the function as factorial(true)(5), which was one of my goals setting out. :3 I also removed some needless assigning, and shorthanded some non-public variable names.
Here is one solution:
function factorial(number) {
total = 1
while (number > 0) {
total *= number
number = number - 1
}
return total
}
Cached loop should be fastest (at least when called multiple times)
var factorial = (function() {
var x =[];
return function (num) {
if (x[num] >0) return x[num];
var rval=1;
for (var i = 2; i <= num; i++) {
rval = rval * i;
x[i] = rval;
}
return rval;
}
})();
Just One line with ES6
const factorial = n => !(n > 1) ? 1 : factorial(n - 1) * n;
const factorial = n => !(n > 1) ? 1 : factorial(n - 1) * n;_x000D_
_x000D_
_x000D_
function print(value) {_x000D_
document.querySelector('.result').innerHTML = value;_x000D_
}
_x000D_
.result {_x000D_
margin-left: 10px;_x000D_
}
_x000D_
<input onkeyup="print(factorial(this.value))" type="number"/>_x000D_
_x000D_
<span class="result">......</span>
_x000D_
According to Wolfram MathWorld:
The factorial n! is defined for a positive integer n as
Therefore, you can use the following method to obtain the factorial of a number:
const factorial = n => +!n || n * factorial(--n);
factorial(4) // 4! = 4 * 3 * 2 * 1 = 24
Old question but i find this approach quite readable and straightforward
function factorialize(num) {
var arr = [];
var result;
if ( num === 0 || num === 1 ) {
return 1;
} else {
for (var i = num; i > 0; i--) {
arr.push(i);
result = arr.reduce(function(previousVal, nextVal){
return previousVal * nextVal;
});
}
return result;
}
}
Since a factorial is simply degenerative multiplication from the number given down to 1, it would indeed be easier to just loop through the multiplication:
Math.factorial = function(n) {
if (n === 0||n === 1) {
return 1;
} else {
for(var i = n; i > 0; --i) { //always make sure to decrement the value BEFORE it's tacked onto the original as a product
n *= i;
}
return n;
}
}
Here is my code
function factorial(num){
var result = num;
for(i=num;i>=2;i--){
result = result * (i-1);
}
return result;
}
Here is an implementation which calculates both positive and negative factorials. It's fast and simple.
var factorial = function(n) {
return n > 1
? n * factorial(n - 1)
: n < 0
? n * factorial(n + 1)
: 1;
}
This is a compact loop-based version
function factorial( _n )
{
var _p = 1 ;
while( _n > 0 ) { _p *= _n-- ; }
return _p ;
}
Or you might override Math object (recursive version):
Math.factorial = function( _x ) { return _x <= 1 ? 1 : _x * Math.factorial( --_x ) ; }
Or join both approaches ...
Here is my solution:
function fac(n){
return(n<2)?1:fac(n-1)*n;
}
It's the simplest way (less characters / lines) I've found, only a function with one code line.
Edit:
If you really want to save some chars you can go with an Arrow Function (21 bytes):
f=n=>(n<2)?1:f(n-1)*n
// if you don't want to update the Math object, use `var factorial = ...`
Math.factorial = (function() {
var f = function(n) {
if (n < 1) {return 1;} // no real error checking, could add type-check
return (f[n] > 0) ? f[n] : f[n] = n * f(n -1);
}
for (i = 0; i < 101; i++) {f(i);} // precalculate some values
return f;
}());
factorial(6); // 720, initially cached
factorial[6]; // 720, same thing, slightly faster access,
// but fails above current cache limit of 100
factorial(100); // 9.33262154439441e+157, called, but pulled from cache
factorial(142); // 2.6953641378881614e+245, called
factorial[141]; // 1.89814375907617e+243, now cached
This does the caching of the first 100 values on the fly, and does not introduce an external variable into scope for the cache, storing the values as properties of the function object itself, which means that if you know factorial(n)
has already been calculated, you can simply refer to it as factorial[n]
, which is slightly more efficient. Running these first 100 values will take sub-millisecond time in modern browsers.
used closure for this with the helper (getFact) , I think this approach is neat hope this helps
factorial of n : using closures*/
function getFact(num) {
if (num > 1)
return num * getFact(num - 1);
else
return 1;
}
function makeFact(fn) {
return function(num) {
return fn(num);
}
}
makeFact(getFact)(5) //120
I believe the following is the most sustainable and efficient piece of code from the comments above. You can use this in your global application js architecture... and, not worry about writing it in multiple namespaces (since its a task which probably doesn't need much augmenting). I've included 2 method names (based on preference) but both can be used as they're just references.
Math.factorial = Math.fact = function(n) {
if (isNaN(n)||n<0) return undefined;
var f = 1; while (n > 1) {
f *= n--;
} return f;
};
The code to calculate factorial depends on your requirements.
Regarding points 1 and 4, it is often more useful to have a function to evaluate the log of the factorial directly rather than to have a function to evaluate factorial itself.
Here's a blog post that discusses these issues. Here is some C# code for computing log factorial that would be trivial to port to JavaScript. But it may not be best for your needs depending on your answers to the questions above.
Using ES6 features, can write code on ONE line & without recursion :
var factorial=(n)=>Array.from({length: n},(v, k) => k+1).reduce((a, b) => a*b, 1)
var factorial=(n)=>Array.from(_x000D_
{length: n}, (v, k) => k+1) /*Generate Array [1, 2, .., n -1, n]*/_x000D_
.reduce(_x000D_
(a, b) => a*b, 1 /*Multiply all aarray items; one with the next*/_x000D_
); _x000D_
_x000D_
_x000D_
var n = prompt('Give us "n", we will calculate "n!" ?');_x000D_
_x000D_
if (n) {_x000D_
alert(`${n}! = ${factorial(n)}`)_x000D_
}
_x000D_
short and easy recursive function (you could do it with a loop, too, but I don't think that would make any difference in performance):
function factorial (n){
if (n==0 || n==1){
return 1;
}
return factorial(n-1)*n;
}
for a very large n, you could use the stirlings approximation - but that will only give you an approximate value.
EDIT: a comment on why I'm getting a downvote for this would have been nice...
EDIT2: this would be the soulution using a loop (which would be the better choice):
function factorial (n){
j = 1;
for(i=1;i<=n;i++){
j = j*i;
}
return j;
}
I think the best solution would be to use the cached values, as Margus mentioned and use the stirlings approximation for larger values (assumed you have to be realy fast and don't have to be that exact on such big numbers).
Just for completeness, here is a recursive version that would allow tail call optimization. I'm not sure if tail call optimizations are performed in JavaScript though..
function rFact(n, acc)
{
if (n == 0 || n == 1) return acc;
else return rFact(n-1, acc*n);
}
To call it:
rFact(x, 1);
function factorial(num){
var num=Number(num);
if (num < 0){
return "this is not a positive number";
}
else{
for (i=2 , f=1 ; i<=num;i++){
f=f*i;
}
return f;
}
}
// the function assumes that a number < 0 is null and factorial of any word is considerate as factorial of 0 //
console.log("-5! ="+factorial(-1));
console.log("something ="+factorial("something"));
console.log("15! ="+factorial(15));
console.log("20! ="+factorial(20));
Here's one I made myself, don't use numbers over 170 or under 2.
function factorial(x){
if((!(isNaN(Number(x)))) && (Number(x)<=170) && (Number(x)>=2)){
x=Number(x);for(i=x-(1);i>=1;--i){
x*=i;
}
}return x;
}
This will return the factorial of n
function f(n) {
var e = n;
if (e == 1 | e == 0) return 1;
while (n--) {
if (n < 1)
break;
e *= n;
}
return e
}
Here is one using newer javascript functions fill, map, reduce and constructor (and fat arrow syntax):
Math.factorial = n => n === 0 ? 1 : Array(n).fill(null).map((e,i)=>i+1).reduce((p,c)=>p*c)
Edit: updated to handle n === 0
Her is my solution using IIFy function and recursion:
console.log((function factorial(n){return (n>1)?n*factorial(n-1):1;})(10))
_x000D_
This is an optimal solution for getting the output of factorial in a single line of code.
var factorial = function() {
var memo = [1];
var facto = function (n) {
var result = memo[n];
if (typeof result !== 'number'){
result = facto(n-1)*n;
}
return result;
};
return facto;
}();
To compute the factorial of a number using memoization, call with factorial(n)
.
One line answer:
const factorial = (num, accumulator) => num <= 1 ? accumulator || 1 : factorial(--num, num * (accumulator || num + 1));_x000D_
_x000D_
factorial(5); // 120_x000D_
factorial(10); // 3628800_x000D_
factorial(3); // 6_x000D_
factorial(7); // 5040_x000D_
// et cetera
_x000D_
var numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
numbers.reduce(function factorial(previous, current) {
return previous * current;
});
console.log(numbers);
Using ES6 you can achieve it both fast and short:
const factorial = n => [...Array(n + 1).keys()].slice(1).reduce((acc, cur) => acc * cur, 1)
Here's an approach that hasn't been provided yet. Using BigInt
and memoization, we can get accurate results and skip computation for values that have already been calculated:
// using let and const, block scope can be used instead of IIFE for closure_x000D_
{_x000D_
const lut = [1n, 1n];_x000D_
_x000D_
// returns factorial as BigInt instead of Number_x000D_
function factorial (n) {_x000D_
for (let i = lut.length; i <= n; i++) {_x000D_
lut.push(BigInt(i) * lut[i - 1]);_x000D_
}_x000D_
_x000D_
return lut[n];_x000D_
}_x000D_
}_x000D_
_x000D_
console.log('starting');_x000D_
// first time will require computation_x000D_
console.log(factorial(10000).toString());_x000D_
// second time will return result from cache_x000D_
console.log(factorial(10000).toString());
_x000D_
div.as-console-wrapper { overflow-x: scroll; }
_x000D_
function computeFactorialOfN(n) {
var output=1;
for(i=1; i<=n; i++){
output*=i;
} return output;
}
computeFactorialOfN(5);
I came across this post. Inspired by all contributions here I came up with my own version, which has two features that I haven't seen discussed before: 1) A check to ensure the argument is a non-negative integer 2) Making a unit out of the cache and the function to make it one self contained bit of code. For fun, I tried to make it as compact as possible. Some may find that elegant, others may think it terribly obscure. Anyway, here it is:
var fact;
(fact = function(n){
if ((n = parseInt(n)) < 0 || isNaN(n)) throw "Must be non-negative number";
var cache = fact.cache, i = cache.length - 1;
while (i < n) cache.push(cache[i++] * i);
return cache[n];
}).cache = [1];
You can either pre fill the cache, or allow it to be filled as the calls go by. But the initial element (for fact(0) must be present or it will break.
Enjoy :)
BigInt
for safetySolution uses
BigInt
, an ES 2018+/2019 feature.
This is working example uses BigInt
, because many answers here all escape the safe boundary of Number
(MDN) almost right away. It's not the fastest but it's simple and thus clearer for adapting other optimizations (like a cache of the first 100 numbers).
function factorial(nat) {
let p = BigInt(1)
let i = BigInt(nat)
while (1 < i--) p *= i
return p
}
// 9.332621544394415e+157
Number(factorial(100))
// "933262154439441526816992388562667004907159682643816214685929638952175999
// 932299156089414639761565182862536979208272237582511852109168640000000000
// 00000000000000"
String(factorial(100))
// 9332621544394415268169923885626670049071596826438162146859296389521759999
// 3229915608941463976156518286253697920827223758251185210916864000000000000
// 000000000000n
factorial(100)
n
at the end of a numeric literal like 1303n
indicates it's a BigInt
type.BigInt
with Number
unless you explicitly coerce them, and that doing so could cause a loss in accuracy.Source: Stackoverflow.com