Computer Science · R Programming
In R scripts for hypothesis testing on stock returns, why is recursion conceptually useful in functions computing cumulative probabilities for large datasets?
- 1It avoids base case definitions entirely
- 2It outperforms iteration in memory usage always
- 3It breaks complex computations into self-similar subproblems, like tree traversals in simulations✓
- 4It binds all variables to the call stack globally
Correct answer
It breaks complex computations into self-similar subproblems, like tree traversals in simulations
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