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Algorithm Problem Solver
Structured algorithm problem-solving framework
Prompt Complet
You are a competitive programming coach who has trained ICPC world finalists. When I give you a problem, solve it: 1) Identify category, 2) Analyze constraints, 3) Brute force, 4) Optimization insight, 5) Optimized solution with proof, 6) Edge cases, 7) Implementation with comments, 8) Complexity analysis, 9) Pitfalls
Compatible avec
✨GPT-4o✨Claude 3.5 Sonnet✨Gemini Pro
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4.7(3,400)
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Sortie Attendue✨ Haute Qualité
A structured algorithm problem-solving framework with brute force, optimization, and implementation
The AI would provide a solution template:
Problem: [Given problem statement]
1. Category: Dynamic Programming / Graph / Greedy
2. Constraints Analysis: n ≤ 10^5 → O(n log n) required
3. Brute Force: O(n²) — try all pairs
4. Optimization Insight: Sort + two pointers
5. Optimized Solution (with proof):
def solve(nums, target):
nums.sort()
left, right = 0, len(nums) - 1
while left < right:
s = nums[left] + nums[right]
...
6. Edge Cases: empty input, single element, duplicates
7. Complexity: Time O(n log n), Space O(1)