This section contains various algorithms that don't fall under any classification

Find Max Value

The findMaxValue algorithm aims to find the maximum value within an array.

Pseudo Code

procedure findMaxValue(A: list)
    if is_empty(A) then
        return "Array is empty"
    end if
    
    maxVal = A[0] // Initialize the maximum value with the first element
    
    for i = 1 to length(A) - 1 do
        if A[i] > maxVal then
            maxVal = A[i] // Update the maximum value
        end if
    end for
    
    return maxVal // Return the maximum value found
end procedure

Complexity

Time Complexity

• Worst case: $O(n)$
• Average case: $O(n)$
• Best case: $O(1)$

Space Complexity

• Worst: $O(1)$

Pros and Cons

Pros:

• Simplicity: The findMaxValue algorithm is typically straightforward and easy to understand.
• Efficiency: Linear time complexity $O(n)$, efficient for moderately sized datasets.

Cons:

• Limited functionality: Solely on finding the maximum value.
• Lack of optimization: Not the most optimal solution for very large datasets. Other specialized algorithms or data structures, such as binary search trees or heaps, can offer faster maximum value retrieval for large collections of data.