← Algorithm Design learning pathAlgorithm Design · Module 10 of 10
Designing algorithms in practice
Choose the right technique for real problems.
📖 Key ideas
- Identify problem type: search, optimisation, counting, path.
- Check constraints to choose acceptable complexity (n ≤ 10^5 → O(n log n)).
- Try simple solutions, then improve with the right paradigm.
- Prove correctness and test edge cases.
- Practise with contests and textbook problems (CLRS).
💡 Real-life example: Algorithm design is a doctor diagnosing: identify symptoms (constraints) before prescribing treatment (technique).
ConstraintsLimits on input size and time
ParadigmGeneral approach like DP or greedy
Edge caseUnusual input
CLRSClassic algorithms textbook