		@@ -409,2 +409,5 @@ [![Build Status](https://travis-ci.org/nicolaspanel/numjs.png)](https://travis-ci.org/nicolaspanel/numjs) [![npm version](https://badge.fury.io/js/numjs.svg)](https://badge.fury.io/js/numjs) [![Bower version](https://badge.fury.io/bo/numjs.svg)](https://badge.fury.io/bo/numjs) [![Built with Grunt](https://cdn.gruntjs.com/builtwith.svg)](http://gruntjs.com/)
		>
		> nj.log(nj.exp(a))
		array([-1, 0, 1])
		>
		> nj.sqrt(nj.abs(a))
		@@ -411,0 +414,0 @@ array([ 1, 0, 1])

src/index.js

		@@ -120,2 +120,11 @@ 'use strict';
		/**
		* Calculate the natural logarithm of all elements in the input array, element-wise.
		* @param {(Array\|NdArray\|number)} x
		* @returns {NdArray}
		*/
		function log (x) {
		return NdArray.new(x).log();
		}

		/**
		* Calculate the positive square-root of all elements in the input array, element-wise.
		@@ -735,2 +744,3 @@ * @param {(Array\|NdArray\|number)} x
		exp: exp,
		log: log,
		sqrt: sqrt,
		@@ -737,0 +747,0 @@ power: power,

src/ndarray.js

		@@ -503,2 +503,15 @@ 'use strict';
		/**
		* Calculate the natural logarithm of all elements in the array, element-wise.
		*
		* @param {boolean} [copy=true] - set to false to modify the array rather than create a new one
		* @returns {NdArray}
		*/
		NdArray.prototype.log = function (copy) {
		if (arguments.length === 0) { copy = true; }
		var arr = copy ? this.clone() : this;
		ops.logeq(arr.selection);
		return arr;
		};

		/**
		* Calculate the positive square-root of all elements in the array, element-wise.
		@@ -562,3 +575,3 @@ *
		var variance = ops.sum(squares.selection) / (shapeSize - options.ddof) - mean * mean * shapeSize / (shapeSize - options.ddof);


		return variance > 0 ? Math.sqrt(Math.abs(variance)) : 0;
		@@ -565,0 +578,0 @@ };

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