mirror of
https://github.com/TheAlgorithms/JavaScript.git
synced 2025-07-06 01:18:23 +08:00
add KochSnowflake.js
This commit is contained in:
186
Recursive/KochSnowflake.js
Normal file
186
Recursive/KochSnowflake.js
Normal file
@ -0,0 +1,186 @@
|
||||
/**
|
||||
* The Koch snowflake is a fractal curve and one of the earliest fractals to have been described.
|
||||
* The Koch snowflake can be built up iteratively, in a sequence of stages. The first stage is an
|
||||
* equilateral triangle, and each successive stage is formed by adding outward bends to each side of
|
||||
* the previous stage, making smaller equilateral triangles. This can be achieved through the
|
||||
* following steps for each line: 1. divide the line segment into three segments of equal length. 2.
|
||||
* draw an equilateral triangle that has the middle segment from step 1 as its base and points
|
||||
* outward. 3. remove the line segment that is the base of the triangle from step 2. (description
|
||||
* adapted from https://en.wikipedia.org/wiki/Koch_snowflake ) (for a more detailed explanation and
|
||||
* an implementation in the Processing language, see
|
||||
* https://natureofcode.com/book/chapter-8-fractals/ #84-the-koch-curve-and-the-arraylist-technique
|
||||
* ).
|
||||
*/
|
||||
|
||||
/*
|
||||
Doctests
|
||||
Test iterate-method
|
||||
> iterate([new Vector2(0, 0), new Vector2(1, 0)], 1)[0];
|
||||
{"x": 0, "y": 0}
|
||||
> iterate([new Vector2(0, 0), new Vector2(1, 0)], 1)[1];
|
||||
{"x": 1/3, "y": 0}
|
||||
> iterate([new Vector2(0, 0), new Vector2(1, 0)], 1)[2];
|
||||
{"x": 1/2, "y": Math.sin(Math.PI / 3) / 3}
|
||||
> iterate([new Vector2(0, 0), new Vector2(1, 0)], 1)[3];
|
||||
{"x": 2/3, "y": 0}
|
||||
> iterate([new Vector2(0, 0), new Vector2(1, 0)], 1)[4];
|
||||
{"x": 1, "y": 0}
|
||||
*/
|
||||
|
||||
/** Class to handle the vector calculations. */
|
||||
class Vector2 {
|
||||
constructor (x, y) {
|
||||
this.x = x
|
||||
this.y = y
|
||||
}
|
||||
|
||||
/**
|
||||
* Vector addition
|
||||
*
|
||||
* @param vector The vector to be added.
|
||||
* @returns The sum-vector.
|
||||
*/
|
||||
add (vector) {
|
||||
const x = this.x + vector.x
|
||||
const y = this.y + vector.y
|
||||
return new Vector2(x, y)
|
||||
}
|
||||
|
||||
/**
|
||||
* Vector subtraction
|
||||
*
|
||||
* @param vector The vector to be subtracted.
|
||||
* @returns The difference-vector.
|
||||
*/
|
||||
subtract (vector) {
|
||||
const x = this.x - vector.x
|
||||
const y = this.y - vector.y
|
||||
return new Vector2(x, y)
|
||||
}
|
||||
|
||||
/**
|
||||
* Vector scalar multiplication
|
||||
*
|
||||
* @param scalar The factor by which to multiply the vector.
|
||||
* @returns The scaled vector.
|
||||
*/
|
||||
multiply (scalar) {
|
||||
const x = this.x * scalar
|
||||
const y = this.y * scalar
|
||||
return new Vector2(x, y)
|
||||
}
|
||||
|
||||
/**
|
||||
* Vector rotation (see https://en.wikipedia.org/wiki/Rotation_matrix)
|
||||
*
|
||||
* @param angleInDegrees The angle by which to rotate the vector.
|
||||
* @returns The rotated vector.
|
||||
*/
|
||||
rotate (angleInDegrees) {
|
||||
const radians = angleInDegrees * Math.PI / 180
|
||||
const ca = Math.cos(radians)
|
||||
const sa = Math.sin(radians)
|
||||
const x = ca * this.x - sa * this.y
|
||||
const y = sa * this.x + ca * this.y
|
||||
return new Vector2(x, y)
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Method to render the Koch snowflake to a canvas.
|
||||
*
|
||||
* @param canvasWidth The width of the canvas.
|
||||
* @param steps The number of iterations.
|
||||
* @returns The canvas of the rendered Koch snowflake.
|
||||
*/
|
||||
function getKochSnowflake (canvasWidth = 600, steps = 5) {
|
||||
if (canvasWidth <= 0) {
|
||||
throw new Error('canvasWidth should be greater than zero')
|
||||
}
|
||||
|
||||
const offsetX = canvasWidth / 10.0
|
||||
const offsetY = canvasWidth / 3.7
|
||||
const vector1 = new Vector2(offsetX, offsetY)
|
||||
const vector2 =
|
||||
new Vector2(canvasWidth / 2, Math.sin(Math.PI / 3) * canvasWidth * 0.8 + offsetY)
|
||||
const vector3 = new Vector2(canvasWidth - offsetX, offsetY)
|
||||
const initialVectors = []
|
||||
initialVectors.push(vector1)
|
||||
initialVectors.push(vector2)
|
||||
initialVectors.push(vector3)
|
||||
initialVectors.push(vector1)
|
||||
const vectors = iterate(initialVectors, steps)
|
||||
return drawToCanvas(vectors, canvasWidth, canvasWidth)
|
||||
}
|
||||
|
||||
/**
|
||||
* Utility-method to render the Koch snowflake to a canvas.
|
||||
*
|
||||
* @param vectors The vectors defining the edges to be rendered.
|
||||
* @param canvasWidth The width of the canvas.
|
||||
* @param canvasHeight The height of the canvas.
|
||||
* @returns The canvas of the rendered edges.
|
||||
*/
|
||||
function drawToCanvas (vectors, canvasWidth, canvasHeight) {
|
||||
const canvas = document.createElement('canvas')
|
||||
canvas.width = canvasWidth
|
||||
canvas.height = canvasHeight
|
||||
|
||||
// Draw the edges
|
||||
const ctx = canvas.getContext('2d')
|
||||
ctx.beginPath()
|
||||
ctx.moveTo(vectors[0].x, vectors[0].y)
|
||||
for (let i = 1; i < vectors.length; i++) {
|
||||
ctx.lineTo(vectors[i].x, vectors[i].y)
|
||||
}
|
||||
ctx.stroke()
|
||||
|
||||
return canvas
|
||||
}
|
||||
|
||||
/**
|
||||
* Go through the number of iterations determined by the argument "steps". Be careful with high
|
||||
* values (above 5) since the time to calculate increases exponentially.
|
||||
*
|
||||
* @param initialVectors The vectors composing the shape to which the algorithm is applied.
|
||||
* @param steps The number of iterations.
|
||||
* @returns The transformed vectors after the iteration-steps.
|
||||
*/
|
||||
function iterate (initialVectors, steps) {
|
||||
let vectors = initialVectors
|
||||
for (let i = 0; i < steps; i++) {
|
||||
vectors = iterationStep(vectors)
|
||||
}
|
||||
|
||||
return vectors
|
||||
}
|
||||
|
||||
/**
|
||||
* Loops through each pair of adjacent vectors. Each line between two adjacent vectors is divided
|
||||
* into 4 segments by adding 3 additional vectors in-between the original two vectors. The vector
|
||||
* in the middle is constructed through a 60 degree rotation so it is bent outwards.
|
||||
*
|
||||
* @param vectors The vectors composing the shape to which the algorithm is applied.
|
||||
* @returns The transformed vectors after the iteration-step.
|
||||
*/
|
||||
function iterationStep (vectors) {
|
||||
const newVectors = []
|
||||
for (let i = 0; i < vectors.length - 1; i++) {
|
||||
const startVector = vectors[i]
|
||||
const endVector = vectors[i + 1]
|
||||
newVectors.push(startVector)
|
||||
const differenceVector = endVector.subtract(startVector).multiply(1 / 3)
|
||||
newVectors.push(startVector.add(differenceVector))
|
||||
newVectors.push(startVector.add(differenceVector).add(differenceVector.rotate(60)))
|
||||
newVectors.push(startVector.add(differenceVector.multiply(2)))
|
||||
}
|
||||
|
||||
newVectors.push(vectors[vectors.length - 1])
|
||||
return newVectors
|
||||
}
|
||||
|
||||
// plot the results if the script is executed in a browser with a window-object
|
||||
if (typeof window !== 'undefined') {
|
||||
const canvas = getKochSnowflake()
|
||||
document.body.append(canvas)
|
||||
}
|
Reference in New Issue
Block a user