# Namespace goog.math

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## Global Functions

code » goog.math.angle ( x1, y1, x2, y2 ) ⇒ `number`

Computes the angle between two points (x1,y1) and (x2,y2). Angle zero points in the +X direction, 90 degrees points in the +Y direction (down) and from there we grow clockwise towards 360 degrees.

Parameters

x1: `number`
  x of first point.
y1: `number`
  y of first point.
x2: `number`
  x of second point.
y2: `number`
  y of second point.

Returns

Standardized angle in degrees of the vector from x1,y1 to x2,y2.

code » goog.math.angleDifference ( startAngle, endAngle ) ⇒ `number`

Computes the difference between startAngle and endAngle (angles in degrees).

Parameters

startAngle: `number`
  Start angle in degrees.
endAngle: `number`
  End angle in degrees.

Returns

The number of degrees that when added to startAngle will result in endAngle. Positive numbers mean that the direction is clockwise. Negative numbers indicate a counter-clockwise direction. The shortest route (clockwise vs counter-clockwise) between the angles is used. When the difference is 180 degrees, the function returns 180 (not -180) angleDifference(30, 40) is 10, and angleDifference(40, 30) is -10. angleDifference(350, 10) is 20, and angleDifference(10, 350) is -20.

code » goog.math.angleDx ( degrees, radius ) ⇒ `number`

For a given angle and radius, finds the X portion of the offset.

Parameters

degrees: `number`
  Angle in degrees (zero points in +X direction).
radius: `number`
  Radius.

Returns

The x-distance for the angle and radius.

code » goog.math.angleDy ( degrees, radius ) ⇒ `number`

For a given angle and radius, finds the Y portion of the offset.

Parameters

degrees: `number`
  Angle in degrees (zero points in +X direction).
radius: `number`
  Radius.

Returns

The y-distance for the angle and radius.

code » goog.math.average ( var_args ) ⇒ `number`

Returns the arithmetic mean of the arguments.

Parameters

var_args: `...number`
  Numbers to average.

Returns

The average of the arguments (`NaN` if no arguments were provided or any of the arguments is not a valid number).

code » goog.math.clamp ( value, min, max ) ⇒ `number`

Takes a number and clamps it to within the provided bounds.

Parameters

value: `number`
  The input number.
min: `number`
  The minimum value to return.
max: `number`
  The maximum value to return.

Returns

The input number if it is within bounds, or the nearest number within the bounds.

code » goog.math.isFiniteNumber ( num ) ⇒ `boolean`

Returns whether the supplied number is finite and not NaN.

Parameters

num: `number`
  The number to test.

Returns

Whether `num` is a finite number.

code » goog.math.isInt ( num ) ⇒ `boolean`

Returns whether the supplied number represents an integer, i.e. that is has no fractional component. No range-checking is performed on the number.

Parameters

num: `number`
  The number to test.

Returns

Whether `num` is an integer.

code » goog.math.lerp ( a, b, x ) ⇒ `number`

Performs linear interpolation between values a and b. Returns the value between a and b proportional to x (when x is between 0 and 1. When x is outside this range, the return value is a linear extrapolation).

Parameters

a: `number`
  A number.
b: `number`
  A number.
x: `number`
  The proportion between a and b.

Returns

The interpolated value between a and b.

code » goog.math.log10Floor ( num ) ⇒ `number`

Returns the precise value of floor(log10(num)). Simpler implementations didn't work because of floating point rounding errors. For example

- Math.floor(Math.log(num) / Math.LN10) is off by one for num == 1e+3.
- Math.floor(Math.log(num) * Math.LOG10E) is off by one for num == 1e+15.
- Math.floor(Math.log10(num)) is off by one for num == 1e+15 - 1.

Parameters

num: `number`
  A floating point number.

Returns

Its logarithm to base 10 rounded down to the nearest integer if num > 0. -Infinity if num == 0. NaN if num < 0.

code » goog.math.longestCommonSubsequence ( array1, array2, opt_compareFn, opt_collectorFn ) ⇒ `!Array.<Object>`

JavaScript implementation of Longest Common Subsequence problem. http://en.wikipedia.org/wiki/Longest_common_subsequence Returns the longest possible array that is subarray of both of given arrays.

Parameters

array1: `Array.<Object>`
  First array of objects.
array2: `Array.<Object>`
  Second array of objects.
opt_compareFn: `Function=`
  Function that acts as a custom comparator for the array ojects. Function should return true if objects are equal, otherwise false.
opt_collectorFn: `Function=`
  Function used to decide what to return as a result subsequence. It accepts 2 arguments: index of common element in the first array and index in the second. The default function returns element from the first array.

Returns

A list of objects that are common to both arrays such that there is no common subsequence with size greater than the length of the list.

code » goog.math.modulo ( a, b ) ⇒ `number`

The % operator in JavaScript returns the remainder of a / b, but differs from some other languages in that the result will have the same sign as the dividend. For example, -1 % 8 == -1, whereas in some other languages (such as Python) the result would be 7. This function emulates the more correct modulo behavior, which is useful for certain applications such as calculating an offset index in a circular list.

Parameters

a: `number`
  The dividend.
b: `number`
  The divisor.

Returns

a % b where the result is between 0 and b (either 0 <= x < b or b < x <= 0, depending on the sign of b).

code » goog.math.nearlyEquals ( a, b, opt_tolerance ) ⇒ `boolean`

Tests whether the two values are equal to each other, within a certain tolerance to adjust for floating point errors.

Parameters

a: `number`
  A number.
b: `number`
  A number.
opt_tolerance: `number=`
  Optional tolerance range. Defaults to 0.000001. If specified, should be greater than 0.

Returns

Whether `a` and `b` are nearly equal.

code » goog.math.randomInt ( a ) ⇒ `number`

Returns a random integer greater than or equal to 0 and less than `a`.

Parameters

a: `number`
  The upper bound for the random integer (exclusive).

Returns

A random integer N such that 0 <= N < a.

code » goog.math.safeCeil ( num, opt_epsilon ) ⇒ `number`

A tweaked variant of `Math.ceil`. See `goog.math.safeFloor` for details.

Parameters

num: `number`
  A number.
opt_epsilon: `number=`
  An infinitesimally small positive number, the rounding error to tolerate.

Returns

The smallest integer greater than or equal to `num`.

code » goog.math.safeFloor ( num, opt_epsilon ) ⇒ `number`

A tweaked variant of `Math.floor` which tolerates if the passed number is infinitesimally smaller than the closest integer. It often happens with the results of floating point calculations because of the finite precision of the intermediate results. For example `Math.floor(Math.log(1000) / Math.LN10) == 2`, not 3 as one would expect.

Parameters

num: `number`
  A number.
opt_epsilon: `number=`
  An infinitesimally small positive number, the rounding error to tolerate.

Returns

The largest integer less than or equal to `num`.

code » goog.math.sampleVariance ( var_args ) ⇒ `number`

Returns the unbiased sample variance of the arguments. For a definition, see e.g. http://en.wikipedia.org/wiki/Variance

Parameters

var_args: `...number`
  Number samples to analyze.

Returns

The unbiased sample variance of the arguments (0 if fewer than two samples were provided, or `NaN` if any of the samples is not a valid number).

code » goog.math.sign ( x ) ⇒ `number`

Returns the sign of a number as per the "sign" or "signum" function.

Parameters

x: `number`
  The number to take the sign of.

Returns

-1 when negative, 1 when positive, 0 when 0.

code » goog.math.standardAngle ( angle ) ⇒ `number`

Normalizes an angle to be in range [0-360). Angles outside this range will be normalized to be the equivalent angle with that range.

Parameters

angle: `number`
  Angle in degrees.

Returns

Standardized angle.

code » goog.math.standardAngleInRadians ( angle ) ⇒ `number`

Normalizes an angle to be in range [0-2*PI). Angles outside this range will be normalized to be the equivalent angle with that range.

Parameters

angle: `number`
  Angle in radians.

Returns

Standardized angle.

code » goog.math.standardDeviation ( var_args ) ⇒ `number`

Returns the sample standard deviation of the arguments. For a definition of sample standard deviation, see e.g. http://en.wikipedia.org/wiki/Standard_deviation

Parameters

var_args: `...number`
  Number samples to analyze.

Returns

The sample standard deviation of the arguments (0 if fewer than two samples were provided, or `NaN` if any of the samples is not a valid number).

code » goog.math.sum ( var_args ) ⇒ `number`

Returns the sum of the arguments.

Parameters

var_args: `...number`
  Numbers to add.

Returns

The sum of the arguments (0 if no arguments were provided, `NaN` if any of the arguments is not a valid number).

code » goog.math.toDegrees ( angleRadians ) ⇒ `number`

Converts radians to degrees.

Parameters

angleRadians: `number`
  Angle in radians.

Returns

Angle in degrees.

code » goog.math.toRadians ( angleDegrees ) ⇒ `number`

Converts degrees to radians.

Parameters

angleDegrees: `number`
  Angle in degrees.

Returns

Angle in radians.

code » goog.math.uniformRandom ( a, b ) ⇒ `number`

Returns a random number greater than or equal to `a` and less than `b`.

Parameters

a: `number`
  The lower bound for the random number (inclusive).
b: `number`
  The upper bound for the random number (exclusive).

Returns

A random number N such that a <= N < b.