Searching
Binary Search (Recursive)
Use the same binary-search window as the iterative lesson, but pass lo and hi through recursive calls.
Algorithm
Basic Implementation
basic.swift
func search(_ arr: [Int], _ target: Int, _ lo: Int, _ hi: Int) -> Int {
if lo > hi { return -1 }
let mid = lo + (hi - lo) / 2
if arr[mid] == target { return mid }
if arr[mid] < target { return search(arr, target, mid + 1, hi) }
return search(arr, target, lo, mid - 1)
}
let arr = [1, 3, 5, 7, 9, 11, 13]
let target = 11
print(search(arr, target, 0, arr.count - 1))
Complexity
- Time: O(log n)
- Space: O(log n) call stack
Implementation notes
search(_ arr: [Int], _ target: Int, _ lo: Int, _ hi: Int) -> Intreceives the Swift array and scalar bounds as immutable parameters on each recursive call.- The base case
if lo > hi { return -1 }is the not-found sentinel path; this trace does not take it because the target is present. let mid = lo + (hi - lo) / 2computes the currentIntindex with integer division before readingarr[mid].- A match returns
midimmediately. Ifarr[mid] < target, the recursive call issearch(arr, target, mid + 1, hi); otherwise it issearch(arr, target, lo, mid - 1). - The top-level bindings are
let arr = [1, 3, 5, 7, 9, 11, 13]andlet target = 11, thenprint(search(arr, target, 0, arr.count - 1)). - The trace records the first call
(lo=0, hi=6),mid=3with value7, and the right-side call(4, 6). - The second call computes
mid=5, readsarr[mid]=11, returns result5, andprintwrites the Swift integer output5.
execution replay
The checked-in replay follows the language-neutral state table for `search-binary-recursive`.
cross-language comparison
This Swift DSA version keeps the same data and final output as every other DSA book in this wave.