Location: A review of cardiac cellular electrophysiology models @ 1c3a018574af / dojo-presentation / js / dojo / dojox / math / _base.js

Author:

David Nickerson <david.nickerson@gmail.com>

Date:

2023-04-27 23:14:49-07:00

Desc:

Updates to get things working with OpenCOR 0.7.1

Permanent Source URI:

http://models.cellml.org/workspace/a1/rawfile/1c3a018574af68610e2b95973f32fa831ea3096f/dojo-presentation/js/dojo/dojox/math/_base.js

dojo.provide("dojox.math._base");

dojo.mixin(dojox.math, {
	degreesToRadians: function(/* Number */n){
		//	summary
		//	Convert the passed number to radians.
		return (n*Math.PI)/180;	// Number
	},
	radiansToDegrees: function(/* Number */n){
		//	summary
		//	Convert the passed number to degrees.
		return (n*180)/Math.PI;	//	Number
	},

	factorial: function(/* Number */n){
		//	summary
		//	Return the factorial of n
		if(n === 0){ 
			return 1;	// Number
		}else if(n < 0 || Math.floor(n) != n){
			return NaN; // NaN
		}

		var ret = 1;
		for(var i = 1; i <= n; i++){
			ret *= i;
		}
		return ret;	// Number
	},

	permutations: function(/* Number */n, /* Number */k){
		//	summary
		//	TODO
		if(n==0 || k==0){ 
			return 1; 	// Number
		}
		return this.factorial(n) / this.factorial(n-k);
	},

	combinations: function(/* Number */n, /* Number */r){
		//	summary
		//	TODO
		if(n==0 || r==0){ 
			return 1; 	//	Number
		}
		return this.factorial(n) / (this.factorial(n-r) * this.factorial(r));	// Number
	},

	bernstein: function(/* Number */t, /* Number */n, /* Number */ i){
		//	summary
		//	TODO
		return this.combinations(n, i) * Math.pow(t, i) * Math.pow(1-t, n-i);	//	Number
	},

	gaussian: function(){
		//	summary
		//	Return a random number based on the Gaussian algo.
		var k=2;
		do{
			var i=2*Math.random()-1;
			var j=2*Math.random()-1;
			k = i*i+j*j;
		}while(k>=1);
		return i * Math.sqrt((-2*Math.log(k))/k);	//	Number
	},

	//	basic statistics
	sd: function(/* Array */a){
		//	summary
		//	Returns the standard deviation of the passed arguments.
		return Math.sqrt(this.variance(a));	//	Number
	},

	variance: function(/* Array */a){
		//	summary
		//	Find the variance in the passed array of numbers.
		var mean=0, squares=0;
		dojo.forEach(a, function(item){
			mean+=item;
			squares+=Math.pow(item,2);
		});
		return (squares/a.length)-Math.pow(mean/a.length, 2);	//	Number
	},

	//	create a range of numbers
	range: function(/* Number */a, /* Number? */b, /* Number? */step){
		//	summary
		//	Create a range of numbers based on the parameters.
		if(arguments.length<2){
			b=a,a=0;
		}
		var range=[], s=step||1, i;
		if(s>0){
			for(i=a; i<b; i+=s){
				range.push(i);
			}
		}else{
			if(s<0){
				for(i=a; i>b; i+=s){
					range.push(i);
				}
			}else{
				throw new Error("dojox.math.range: step must not be zero.");
			}
		}
		return range; 	// Array
	},

	distance: function(/* Array */a, /* Array */b){
		//	summary
		//	Calculate the distance between point A and point B
		return Math.sqrt(Math.pow(b[0]-a[0],2)+Math.pow(b[1]-a[1],2));	//	Number
	},

	midpoint: function(/* Array */a, /* Array */b){
		//	summary
		//	Calculate the midpoint between points A and B.  A and B may be multidimensional.
		if(a.length!=b.length){
			console.error("dojox.math.midpoint: Points A and B are not the same dimensionally.", a, b);
		}
		var m=[];
		for(var i=0; i<a.length; i++){
			m[i]=(a[i]+b[i])/2;
		}
		return m;	//	Array
	}
});