Binary Search

Search on monotonic predicates for sorted arrays, answer spaces, and rotated arrays. Use when finding minimum/maximum values, insertion points, or solving 'minimize the maximum' problems.

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When to use

Binary search works on any monotonic predicate, not just sorted arrays. Pattern: "find minimum X such that condition(X) is true" — binary search on the answer space.

Rules

  • Use bisect.bisect_left/bisect_right for sorted-array insertion points
  • For "minimize the maximum" or "maximize the minimum" problems, binary search on the answer and check feasibility
  • ALWAYS use lo + (hi - lo) // 2 to avoid overflow
  • When searching rotated arrays, check which half is sorted first
  • NEVER binary search on unsorted data without a monotonic predicate

Complexity

Time: O(log n) — whenever you see "sorted" or "monotonic" in a problem, consider binary search.

Example

"Minimize maximum load" → binary search on answer space. Check if feasible(mid) divides into k groups each ≤ mid. Use lo + (hi - lo) // 2 to avoid overflow.

aibot88/sec_skill_store/tree/main/skills/claudskills/binary-search commit e1e2c4e0d8

Frequently asked questions

npx skillmds@latest add aibot88/binary-search