mirror of
https://github.com/TheAlgorithms/JavaScript.git
synced 2025-07-06 09:28:26 +08:00
editing file names
This commit is contained in:
35
Search/JumpSearch.js
Normal file
35
Search/JumpSearch.js
Normal file
@ -0,0 +1,35 @@
|
||||
/* The Jump Search algorithm allows to combine a linear search with a speed optimization.
|
||||
* This means that instead of going 1 by 1, we will increase the step of √n and increase that
|
||||
* step of √n which make the step getting bigger and bigger.
|
||||
* The asymptotic analysis of Jump Search is o(√n). Like the binary search, it needs to be sorted.
|
||||
* The advantage against binary search is that Jump Search traversed back only once.
|
||||
*/
|
||||
|
||||
const jumpSearch = (arr, value) => {
|
||||
const length = arr.length
|
||||
let step = Math.floor(Math.sqrt(length))
|
||||
let lowerBound = 0
|
||||
while (arr[Math.min(step, length) - 1] < value) {
|
||||
lowerBound = step
|
||||
step += step
|
||||
if (lowerBound >= length) {
|
||||
return -1
|
||||
}
|
||||
}
|
||||
|
||||
const upperBound = Math.min(step, length)
|
||||
while (arr[lowerBound] < value) {
|
||||
lowerBound++
|
||||
if (lowerBound === upperBound) {
|
||||
return -1
|
||||
}
|
||||
}
|
||||
if (arr[lowerBound] === value) {
|
||||
return lowerBound
|
||||
}
|
||||
return -1
|
||||
}
|
||||
const arr = [0, 0, 4, 7, 10, 23, 34, 40, 55, 68, 77, 90]
|
||||
jumpSearch(arr, 4)
|
||||
jumpSearch(arr, 34)
|
||||
jumpSearch(arr, 77)
|
Reference in New Issue
Block a user