



How does 'n' affect the complexity of solving optimization problems?
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what is n in big o notation
- Is 'n' always a single, scalar value?
- Is 'n' always considered in the limit as 'n' grows large?
- How does 'n' affect the performance guarantees for streaming algorithms?
- Does 'n' relate to the dimensions of a matrix?
- How does 'n' relate to the convergence rate of iterative algorithms?
- Can 'n' represent a rate or a probability in some contexts?
- Is 'n' relevant for algorithms that have no input?
- How does the pre-processing time depend on 'n'?
- Can 'n' represent the number of agents in a multi-agent system?
- Is 'n' consistent in its use across different subfields of computer science (e.g., algorithms, data structures, complexity theory)?
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