One of the ways to express the size of a problem is in terms of the number of items to be processed.   A. True B. False

The statement is A. True.

Explanation

In various contexts, particularly in fields like computer science and operations research, the complexity of a problem is often expressed in terms of the number of items that need to be processed or considered. This is because the size of the problem can directly influence the time and resources required to find a solution. For example, in algorithms, the time complexity is commonly analyzed based on the number of elements in the input data set; this is often denoted as $O(n)$, where $n$ is the number of items.

Understanding the size of the problem helps in evaluating the computational efficiency of the algorithms involved in processing those items. Therefore, expressing the size of a problem in terms of the number of items is both practical and essential in many analytical scenarios.