(Find the Minimum Valtue in an Arraty) Write a recursive function recursiveMinimum that takes an integer array, a starting subscript and an ending subscript as arguments, and returns the smallest element of the array. The function should stop processing and return when the starting subscript equals the ending subscript.

Recursion in programming is a method where a function calls itself to solve a problem. Think of it as breaking down a complex task into smaller, more manageable tasks that are identical in nature to the overall task.

For instance, in mathematics, factorial calculation is commonly used to explain recursion. The factorial of a number, say 5, is the product of all positive integers less than or equal to 5. In a recursive approach, you calculate factorial(5) by using the result of factorial(4), and so forth, until reaching factorial(1), which is known as the base case.

In C++, a recursive function must have a base case to prevent infinite recursion and eventual overflow errors. Each recursive call should bring the algorithm closer to this base case, ensuring that the recursion will eventually end.

The base case in recursion is critical as it signifies the condition under which the recursive calls will cease, giving an exit path for the function to stop calling itself. It’s like the light at the end of the tunnel or the 'bottom' of a nested Russian doll. Once you open the last doll, there is no more opening to do.

In the context of the exercise provided, the base case occurs when the starting subscript equals the ending subscript in the array. At this point, no further recursion is necessary because the smallest integer in that range is the element itself, so the function simply returns that value. Ensuring that a base case is correctly defined and reached is essential to avoid stack overflow errors, which occur when there are too many nested calls.

Let's delve into the implementation details of a specific recursive function, the 'recursiveMinimum'. This function is designed to find the smallest element in a portion of an array. It epitomizes how recursive strategies break problems down into smaller chunks.

When implementing 'recursiveMinimum', we have two scenarios: the base case, where we simply return the element because it is the only candidate for the minimum; and the recursive case, where we compare the current element with the result of a recursive call to 'recursiveMinimum' on the remaining array segment. This way, each function call takes a smaller piece of the problem until the smallest value bubbles up through the recursive calls to be returned as the final result.

Array processing often involves iterating over elements to apply operations such as finding a minimum or summing values. In a recursive approach, instead of using loops, the function calls itself acting on different segments of the array.

In our 'recursiveMinimum' function, array processing is achieved by recursively calling the function with a narrowed range of the array until the base case is met. This approach mimics iteration but emphasizes the elegance of recursion in dividing the problem into successively smaller problems.

An optimized recursive algorithm is always mindful of the call stack and ensures minimal overhead. For students, visualizing the process with smaller arrays or using debuggers to step through each recursive call can greatly enhance comprehension of array processing in a recursive context.