Search a binary search tree for one present and one absent value.

Algorithm

The canonical tree is 4(2(1,3),6(5,7)), so this Swift DSA implementation can be compared directly with the rest of the DSA track.

search path A comparison chooses one subtree at each step, so whole branches are skipped.

Visual walkthrough

A BST search follows one comparison path. The same pinned tree shows a found path for 5 and a missing path for 8.

Step 1 - Find 5

Search 5 takes right from 4, then left from 6, then matches 5.

Present search path: 4 -> 6 -> 5.4#126#2135match7

Step 2 - Miss 8

Search 8 takes right from 4, right from 6, right from 7, then reaches null.

Absent search path: 4 -> 6 -> 7 -> null.4#126#21357#3nullnot found

Basic Implementation

basic.swift
final class Node {
    let value: Int
    var left: Node?
    var right: Node?
    init(_ value: Int, _ left: Node? = nil, _ right: Node? = nil) { self.value = value; self.left = left; self.right = right }
}
func render(_ node: Node?) -> String {
    guard let node = node else { return "_" }
    if node.left == nil && node.right == nil { return String(node.value) }
    return "\(node.value)(\(render(node.left)),\(render(node.right)))"
}
func sampleTree() -> Node {
    return Node(4, Node(2, Node(1), Node(3)), Node(6, Node(5), Node(7)))
}
func listString(_ values: [Int]) -> String { return "[" + values.map(String.init).joined(separator: ", ") + "]" }
func search(_ root: Node?, _ target: Int) -> Bool { var node = root; while let current = node { if target == current.value { return true }; node = target < current.value ? current.left : current.right }; return false }
let root = sampleTree()
print(search(root, 5) ? "5 found" : "5 not found")
print(search(root, 8) ? "8 found" : "8 not found")

Complexity

  • Time: O(h) per search
  • Space: O(1) iterative

Implementation notes

  • final class Node gives the tree reference semantics; each node has a let value: Int and mutable optional child links left: Node? and right: Node?.
  • sampleTree() builds the checked tree directly with nested Node(...) calls: 4(2(1,3),6(5,7)).
  • search(_ root: Node?, _ target: Int) -> Bool is iterative. It starts with var node = root and uses while let current = node to unwrap each cursor.
  • A match returns true immediately. Otherwise the cursor moves with target < current.value ? current.left : current.right.
  • When the cursor becomes nil, the loop ends and the function returns false; there is no numeric sentinel in this source.
  • The trace for 5 walks 4 -> right, 6 -> left, then matches at 5.
  • The trace for 8 walks 4 -> right, 6 -> right, 7 -> right, then reaches null for the not-found result; this replay uses the balanced sample tree and does not include an imbalance contrast event.
  • The two print calls use ternary formatting, producing exactly 5 found and 8 not found on separate lines.