The performance complexity of the algorithm is C. linear. The time complexity of the algorithm is O(n), where n is the number of iterations in the loop. This is because the number of iterations is directly proportional to the input size (in this case, the value of numIterations), and the time taken to execute the loop will increase linearly with the input size.
The time complexity of an algorithm is a measure of how the running time of the algorithm increases with the input size. It is expressed using big O notation, which allows us to describe the upper bound on the running time of an algorithm in terms of the size of the input. The time complexity of an algorithm is an important factor to consider when choosing which algorithm to use for a particular problem, as it can have a significant impact on the performance of the algorithm.
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