Advanced Topic 52 of 52 Data Structures
Union of Sets with Bitsets
Compact boolean arrays operating on many bits at once.
How it works
A bitset stores one bit per possible element, so sets over a small integer universe are represented as arrays of machine words. Union, intersection and difference become single bitwise OR, AND and AND-NOT instructions applied word by word, processing 64 elements at once. Membership tests and updates are O(1), and population count gives the set size quickly.
Step-by-step walkthrough
- A set over small integers is stored as bits, here positions 0 2 3 and 6.
- A second bitset holds another set.
- The union is one bitwise OR over whole machine words.
- Intersection is AND and difference is AND NOT.
- One 64-bit operation handles 64 elements at once.
Where it is used
Sieve of Eratosthenes, graph reachability and transitive closure, subset dynamic programming, Bloom-style flags, permission masks and database bitmap indexes use bitsets. Compilers use them in dataflow analysis.
Common pitfall
They suit dense sets over a bounded universe; for sparse sets with huge universes they waste memory. Elements must map to integer indexes. Shifting by the word size or more is undefined in some languages. Mind endianness and out-of-range bits in the last word, and use compressed bitmaps like Roaring for sparse data.
Where it fits in the course
Union of Sets with Bitsets is topic 52 of 52 in Data Structures, rated Advanced. It follows Rope Data Structure. It is the last topic in this area.
Practice and explore
- Open the interactive lesson, with a mini quiz.
- Take the Data Structures quiz.
How to study this topic
- Read the explanation above and restate the definition in your own words.
- Open the interactive lesson and answer its mini quiz.
- Read the common pitfall, then write a short example that avoids it.
- Check your understanding in the Data Structures quiz, and revisit the topic if you miss a question.
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Related topics
- Rope Data Structure (Data Structures)
- Merkle Trees (Data Structures)
- HyperLogLog (Data Structures)
- Count-Min Sketch (Data Structures)
- Sets and Set Operations (Theory & Discrete Math)
- Training and Test Sets (AI & Machine Learning)
- Sets (Programming Fundamentals)