Binary Search Tree example 70
A focused DSA example for binary search tree with output and explanation.
Binary Search Tree example 70
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Input
Terminal
SuccessReady.
Run code to see output here.
What this example teaches
Binary Search Tree
Output
The function returns the correct result while keeping time and space tradeoffs visible.
Line-by-line explanation
- Line 1 sets up the Binary Search Tree example: function binarySearch(values, target) {.
- Line 2 adds one required part of the working pattern: let left = 0, right = values.length - 1;.
- Line 3 adds one required part of the working pattern: while (left <= right) {.
- Line 4 adds one required part of the working pattern: const mid = Math.floor((left + right) / 2);.
- Line 5 adds the decision or filter that controls the result: if (values[mid] === target) return mid;.
- Line 6 adds the decision or filter that controls the result: if (values[mid] < target) left = mid + 1;.
Why this example is useful
This example is useful because it isolates binary search tree without surrounding noise, so you can see the idea clearly.
Where it is used in real projects
Binary Search Tree appears in real DSA work when a feature needs a clear pattern that can be reviewed and changed safely.
Beginner variation
Change one label, value or condition in the Binary Search Tree example and run it again.
Advanced variation
Combine Binary Search Tree with validation, error handling or reusable structure.