add KochSnowflake.js

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algobytewise
2021-04-01 22:22:42 +05:30
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commit 1dee811133

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Recursive/KochSnowflake.js Normal file
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/**
* 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)
}