Security News
Research
Supply Chain Attack on Rspack npm Packages Injects Cryptojacking Malware
A supply chain attack on Rspack's npm packages injected cryptomining malware, potentially impacting thousands of developers.
Javascript Numeric Math Utilities
kmath is a collection of Javascript utility functions for performing numeric (rather than algebraic) math that isn't built into Javascript, especially geometric calculations.
For example, some computations are easy to express using vectors, but difficult to express in terms of raw real number variables. kmath lets you write vector-, point-, line-, or ray-based math naturally, and also has some real number utility methods that might be useful if you're writing a math-heavy Javascript application.
kmath emphasizes simplicity and interoperability in the interfaces provided. All kmath interfaces use standard Javascript types, usually numbers, arrays of numbers, or arrays of arrays of numbers. This means interoping with other systems (other libraries, or sending kmath types over json) is easy, but kmath doesn't have it's own object-oriented types, which may be inconvenient (for example, in debugging, you'll just see Arrays rather than, for example, Vectors).
kmath also focuses on being a high quality library of a few functions, rather than a large library of many functions which are less unified.
kmath emphasizes simplicity in design over performance, when those two are at odds. If you are writing code in an inner loop in an allocation- sensitive environment, kmath might not be for you. Each method is pure and allocates a new array for the return value.
After cloning or downloading kmath, you can install it by running
npm install
or make install
.
To play around with the available interfaces, you can load kmath into a Node repl:
$ node
> var kmath = require("kmath");
> kmath.vector.add([1, 2], [3, 4])
[4, 6]
kmath has 5 basic types:
Each has its own representation:
5
)[5, 6]
)[5, 6]
)[[5, 6], [1, 2]]
)[[5, 6], [1, 2]]
)kmath functions usually take an argument of the corresponding type as
the first parameter, and other parameters afterwards. For example, to
rotate the point [1, 1]
by 90 degrees around [0, 0]
, one might use:
kmath.point.rotateDeg([1, 1], 90, [0, 0])
Documentation for specific functions for each type is provided below.
number.DEFAULT_TOLERANCE === 1e-9
The default tolerance to kmath functions.
number.EPSILON === Math.pow(2, -42)
A small number. Not machine epsilon, but a reasonable amount of error more than generally accrued by doing repeated floating point math.
number.is(maybeANumber)
Returns true if the argument is a javascript number.
number.equal(number1, number2, [tolerance])
Compares whether number1 and number2 are equal to each other, within
a difference of tolerance, which defaults to number.DEFAULT_TOLERANCE
.
number.sign(aNumber, [tolerance])
Returns 0 if the number is equal to 0 within tolerance
, or -1 if the
number is less than 0, or 1 if the number is greater than 0.
number.isInteger(aNumber, tolerance)
Returns true if aNumber
is within tolerance
difference of an integer.
tolerance
defaults to number.DEFAULT_TOLERANCE
.
number.round(aNumber, precision)
Rounds aNumber
to precision
decimal places.
number.roundTo(aNumber, increment)
Rounds aNumber
to the nearest increment
.
For example, number.roundTo(1.4, 0.5)
would return 1.5
number.floorTo(aNumber, increment)
Returns the nearest multiple of increment
that is no greater than
aNumber
.
number.ceilTo(aNumber, increment)
Returns the nearest multiple of increment
that is no smaller than
aNumber
.
number.toFraction(decimal, [tolerance], [maxDenominator])
Returns an array containing two elements, [n, d]
, a numerator and
denominator representing a fraction n/d
that is within tolerance
of decimal
.
If no fraction with a denominator less than or equal to maxDenominator
is found, [decimal, 1]
is returned.
tolerance
defaults to number.EPSILON
. maxDenominator
defaults to
1000
.
vector.is(maybeAVector, [length])
Returns true if maybeAVector
is an array of numbers. If length is specified,
only returns true if maybeAVector
is a vector of length length
.
vector.equal(v1, v2, [tolerance])
Returns true if v1
and v2
are equal within tolerance
. If tolerance
is not specified, kmath.number.DEFAULT_TOLERANCE
is used. Each dimension
is compared individually, rather than comparing length and direction.
If v1
and v2
have different lengths, this function returns false
.
kmath.vector.equal([1, 2], [1, 3])
=> false
kmath.vector.equal([1, 2], [1, 2, 3])
=> false
kmath.vector.equal([1, 2], [1, 2])
=> true
vector.codirectional(v1, v2, [tolerance])
Returns true if v1
and v2
have the same direction within tolerance
.
If tolerance
is unspecified, kmath.number.DEFAULT_TOLERANCE
is used.
Note that tolerance is checked after normalization.
If v1
and v2
are different lengths, this function returns false
,
regardless of whether they are codirectional in the existing dimensions.
This function defines the zero-vector as trivially codirectional with every vector.
kmath.vector.codirectional([1, 2], [2, 4])
=> true
kmath.vector.codirectinoal([1, 2], [0, 0])
=> true
kmath.vector.codirectional([1, 2], [1, 2, 0])
=> false
kmath.vector.codirectional([1, 2], [-2, -4])
=> false
vector.colinear(v1, v2, [tolerance])
Returns true if v1
and v2
lie along the same line, regardless of
direction. This is equivalent to either v1
and v2
being codirectional,
or v1
and -v2
being codirectional, or whether there is some
scaleFactor
such that vector.equal(vector.scale(v1, scaleFactor), v2)
is true.
kmath.vector.colinear([1, 2], [-2, -4])
=> true
vector.normalize(v)
Scales the cartesian vector v
to be 1
unit long.
vector.length(v)
Returns the length of the cartesian vector v
.
vector.dot(v1, v2)
Returns the dot product of cartesian vectors v1
and v2
.
vector.add(*vectors)
Adds multiple cartesian vectors together.
kmath.vector.add([1, 2], [3, 4])
=> [4, 6]
vector.subtract(v1, v2)
Subtracts the cartesian vector v2
from the cartesian vector v1
.
kmath.vector.subtract([4, 6], [1, 2])
=> [3, 4]
vector.negate(v)
Negates the cartesian vector v
. This has the same effect as scaling
v
by -1
or reversing the direction of v
.
vector.scale(v, scalar)
Scales the cartesian vector v
by scalar
.
kmath.vector.scale([1, 2], 2)
=> [2, 4]
vector.polarRadFromCart(v)
Returns a polar vector [length, angle]
from the two-dimensional cartesian
vector v
, where angle
is measured in radians.
kmath.vector.polarRadFromCart([1, 1])
=> [1.4142135623730951, 0.7853981633974483]
vector.polarDegFromCart(v)
Returns a polar vector [length, angle]
from the two-dimensional cartesian
vector v
, where angle
is measured in degrees.
kmath.vector.polarDegFromCart([0, 2])
=> [2, 90]
vector.cartFromPolarRad(polar)
or vector.cartFromPolarRad(length, angle)
Returns a two-dimensional cartesian vector from the polar vector input, where the input angle is measured in radians.
kmath.vector.cartFromPolarRad([2, Math.PI])
=> [-2, 0] // Note: a very small nonzero number is actually returned here,
// due to numerical inaccuracy.
kmath.vector.cartFromPolarRad(Math.pow(2, 0.5), Math.PI/4)
=> [1, 1]
vector.cartFromPolarDeg(polar)
or vector.cartFromPolarDeg(length, angle)
Returns a two-dimensional cartesian vector from the polar vector input, where the input angle is measured in degrees.
kmath.vector.cartFromPolarRad([2, 90])
=> [-2, 0] // Note: a very small nonzero number is actually returned here,
// due to numerical inaccuracy.
kmath.vector.cartFromPolarRad(Math.pow(2, 0.5), 45)
=> [1, 1]
vector.rotateRad(v, angle)
Returns the rotation of the cartesian vector v
by angle
radians.
vector.rotateDeg(v, angle)
Returns the rotation of the cartesian vector v
by angle
degrees.
vector.angleRad(v1, v2)
Returns the angle between the directions of cartesian vectors
v1
and v2
in radians.
vector.angleDeg(v1, v2)
Returns the angle between the directions of cartesian vectors
v1
and v2
in radians.
vector.projection(v1, v2)
Returns the projection of v1
along the direction of v2
vector.round(v, precision)
Rounds each dimension of v
to precision
decimal places.
vector.roundTo(v, increment)
Rounds each dimension of v
to the nearest increment
.
vector.floorTo(v, increment)
Floors each dimension of v
to the nearest increment
.
vector.ceilTo(v, increment)
Ceils each dimension of v
to the nearest increment
.
point.is(maybeAPoint, [length])
Returns true if maybeAPoint
is an array of numbers. If length is specified,
only returns true if maybeAPoint
is a point of dimension length
.
point.equal(p1, p2, [tolerance])
Returns true if p1
and p2
are equal within tolerance
. If tolerance
is not specified, kmath.number.DEFAULT_TOLERANCE
is used. Each dimension
is compared individually.
If p1
and p2
have different lengths, this function returns false
.
kmath.point.equal([1, 2], [1, 3])
=> false
kmath.point.equal([1, 2], [1, 2, 3])
=> false
kmath.point.equal([1, 2], [1, 2])
=> true
point.addVector(p, *vectors)
or point.addVectors(p, *vectors)
Returns the point created by adding the cartesian vectors *vectors
to the cartesian point p
.
point.subtractVector(p, v)
Returns the point created by subtracting the cartesian vectors v
to the cartesian point p
.
point.distanceToPoint(p1, p2)
Returns the distance between p1
and p2
.
point.distanceToLine(p, theLine)
Returns the distance between p
and the line theLine
.
For example, to find the distance from the origin to the
y = 5
line, one could write:
kmath.point.distanceToLine([0, 0], [[-1, 5], [1, 5]])
=> 5
point.reflectOverLine(p, theLine)
Returns the reflection of p
over the line theLine
.
For example, to reflect the origin over the line y = 5
,
one could write:
kmath.point.reflectOverLine([0, 0], [[-1, 5], [1, 5]])
=> [0, 10]
point.compare(p1, p2, [equalityTolerance])
Compares two points, returning -1, 0, or 1, for use with Array.prototype.sort
Note: This technically doesn't satisfy the total-ordering requirements of Array.prototype.sort unless equalityTolerance is 0. In some cases very close points that compare within a few equalityTolerances could appear in the wrong order.
point.polarRadFromCart(p)
Returns a polar point [length, angle]
from the two-dimensional cartesian
point v
, where angle
is measured in radians.
kmath.point.polarRadFromCart([1, 1])
=> [1.4142135623730951, 0.7853981633974483]
point.polarDegFromCart(p)
Returns a polar point [length, angle]
from the two-dimensional cartesian
point v
, where angle
is measured in degrees.
kmath.point.polarDegFromCart([0, 2])
=> [2, 90]
point.cartFromPolarRad(polar)
or point.cartFromPolarRad(length, angle)
Returns a two-dimensional cartesian point from the polar point input, where the input angle is measured in radians.
kmath.point.cartFromPolarRad([2, Math.PI])
=> [-2, 0] // Note: a very small nonzero number is actually returned here,
// due to numerical inaccuracy.
kmath.point.cartFromPolarRad(Math.pow(2, 0.5), Math.PI/4)
=> [1, 1]
point.cartFromPolarDeg(polar)
or point.cartFromPolarDeg(length, angle)
Returns a two-dimensional cartesian point from the polar point input, where the input angle is measured in degrees.
kmath.point.cartFromPolarRad([2, 90])
=> [-2, 0] // Note: a very small nonzero number is actually returned here,
// due to numerical inaccuracy.
kmath.point.cartFromPolarRad(Math.pow(2, 0.5), 45)
=> [1, 1]
point.rotateRad(p, angle, center)
Returns the rotation of the two-dimensional point v
by angle
radians
around the point center
point.rotateDeg(p, angle, center)
Returns the rotation of the two-dimensional point v
by angle
degrees
around the point center
.
point.round(p, precision)
Rounds each dimension of p
to precision
decimal places.
point.roundTo(p, increment)
Rounds each dimension of p
to the nearest increment
.
point.floorTo(p, increment)
Floors each dimension of p
to the nearest increment
.
point.ceilTo(p, increment)
Ceils each dimension of p
to the nearest increment
.
ray.equal(r1, r2, [tolerance])
Returns true if rays r1
and r2
are equal within tolerance
.
If unspecified, tolerance
defaults to kmath.number.DEFAULT_TOLERANCE
.
line.equal(line1, line2, [tolerance])
Returns true if lines line1
and line2
are equal within tolerance
.
If unspecified, tolerance
defaults to kmath.number.DEFAULT_TOLERANCE
.
line.midpoint(theLine)
Returns the midpoint of the line theLine
.
kmath.line.midpoint([[0, 5], [5, 0]])
=> [2.5, 2.5]
line.distanceToPoint(theLine, p)
Returns the distance between theLine
and point p
.
line.reflectPoint(theLine, p)
Returns the reflection of p
over theLine
.
MIT. See the LICENSE file for more information.
FAQs
Khan Academy's Javascript Numeric Math Utilities
We found that kmath demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Research
A supply chain attack on Rspack's npm packages injected cryptomining malware, potentially impacting thousands of developers.
Research
Security News
Socket researchers discovered a malware campaign on npm delivering the Skuld infostealer via typosquatted packages, exposing sensitive data.
Security News
Sonar’s acquisition of Tidelift highlights a growing industry shift toward sustainable open source funding, addressing maintainer burnout and critical software dependencies.