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algorithm: SegmentTree#1178

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97 changes: 97 additions & 0 deletionsData-Structures/Tree/SegmentTree.js
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/**
* Segment Tree
* concept : [Wikipedia](https://en.wikipedia.org/wiki/Segment_tree)
* inspired by : https://www.geeksforgeeks.org/segment-tree-efficient-implementation/
*
* time complexity
* - init : O(N)
* - update : O(log(N))
* - query : O(log(N))
*
* space complexity : O(N)
*/
class SegmentTree {
size
tree
constructor (arr) {
// we define tree like this
// tree[1] : root node of tree
// tree[i] : i'th node
// tree[i * 2] : i'th left child
// tree[i * 2 + 1] : i'th right child
// and we use bit, shift operation for index
this.size = arr.length
this.tree = new Array(2 * arr.length)
this.tree.fill(0)

this.build(arr)
}

// function to build the tree
build (arr) {
const { size, tree } = this
// insert leaf nodes in tree
// leaf nodes will start from index N
// in this array and will go up to index (2 * N – 1)
for (let i = 0; i < size; i++) {
tree[size + i] = arr[i]
}

// build the tree by calculating parents
// tree's root node will contain all leaf node's sum
for (let i = size - 1; i > 0; --i) {
// current node's value is the sum of left child, right child
tree[i] = tree[i * 2] + tree[i * 2 + 1]
}
}

update (index, value) {
const { size, tree } = this

// only update values in the parents of the given node being changed.
// to get the parent move to parent node (index / 2)

// set value at position index
index += size
// tree[index] is leaf node and index's value of array
tree[index] = value

// move upward and update parents
for (let i = index; i > 1; i >>= 1) {
// i ^ 1 turns (2 * i) to (2 * i + 1)
// i ^ 1 is second child
tree[i >> 1] = tree[i] + tree[i ^ 1]
}
}

// interval [L,R) with left index(L) included and right (R) excluded.
query (left, right) {
const { size, tree } = this
// cause R is excluded, increase right for convenient
right++
let res = 0

// loop to find the sum in the range
for (left += size, right += size; left < right; left >>= 1, right >>= 1) {
// L is the left border of an query interval

// if L is odd it means that it is the right child of its parent and our interval includes only L and not the parent.
// So we will simply include this node to sum and move to the parent of its next node by doing L = (L + 1) / 2.

// if L is even it is the left child of its parent
// and the interval includes its parent also unless the right borders interfere.
if ((left & 1) > 0) {
res += tree[left++]
}

// same in R (the right border of an query interval)
if ((right & 1) > 0) {
res += tree[--right]
}
}

return res
}
}

export { SegmentTree }
16 changes: 16 additions & 0 deletionsData-Structures/Tree/test/SegmentTree.test.js
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import { SegmentTree } from '../SegmentTree'

describe('SegmentTree sum test', () => {
const a = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]

const segment = new SegmentTree(a)

it('init sum check', () => {
expect(segment.query(0, 2)).toBe(6)
})

it('init sum check', () => {
segment.update(2, 1)
expect(segment.query(0, 2)).toBe(4)
})
})

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