The time complexity of a loop is found by multiplying the complexity of the body of the loop by how many times the loop will execute.
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Q18: Speeding up the processor by a factor
Q19: A growth function shows time or space
Q20: Software must make efficient use of resources
Q21: The order of an algorithm provides a
Q22: If the algorithm is inefficient, a faster
Q24: The analysis of nested loops must take
Q25: The order of an algorithm refers to
Q26: Method calls are always O(n).
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