REMINDER: - Every recursive function must have one or more base cases, - The general (recursive) case must eventually be reduced to a base case (terminating condition). -The base case stops the recursion, - Every recursive call has its own copy of parameters and the local variables [1], - A recursive function is a function that calls itself [5]. Let a be an array of integers. Present recursive algorithms and write their C implementations to compute: • the maximum (minimum) element of the array, • the sum (product) of the elements of the array, • the average of the elements of the array HINT: Use functions having the following prototypes: name_of_the_function (int a[ ], int n); For example, function that computes maximum/minimum element in the array can be named as find_max () / find_min ().

REMINDER: - Every recursive function must have one or more base cases, - The general (recursive) case must eventually be reduced to a base case (terminating condition). -The base case stops the recursion, - Every recursive call has its own copy of parameters and the local variables [1], - A recursive function is a function that calls itself [5]. Let a be an array of integers. Present recursive algorithms and write their C implementations to compute: • the maximum (minimum) element of the array, • the sum (product) of the elements of the array, • the average of the elements of the array HINT: Use functions having the following prototypes: name_of_the_function (int a[ ], int n); For example, function that computes maximum/minimum element in the array can be named as find_max () / find_min ().

C++ Programming: From Problem Analysis to Program Design

8th Edition

ISBN:9781337102087

Author:D. S. Malik

Publisher:D. S. Malik

Chapter15: Recursion

Section: Chapter Questions

Problem 1TF

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is it possible to change this function from recursive to iterative one? Any help would be greatly appreciated.
Consider the recursive function provided above. After the initial call to the function ham has been made with argument 26 then how many subsequent recursive calls will be made before a value a final result can be returned? This question is internally recognized as variant 235. Q11) 1 2 3 4 5 6 7 8 none of the above
When recursion is used to solve a problem, why must the recursive function call itself to solve asmaller version of the original problem?
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Why, when using recursion to solve a problem, does the recursive function have to call itself in order to solve a smaller version of the original problem?
In programming, a recursive function calls itself. The classical example is factorial(n), which can be defined recursively as n*factorial(n-1). Nonethessless, it is important to take note that a recursive function should have a terminating condition (or base case), in the case of factorial, factorial(0)=1. Hence, the full definition is: factorial(n) = 1, for n = 0 factorial(n) = n * factorial(n-1), for all n > 1 For example, suppose n = 5: // Recursive call factorial(5) = 5 * factorial(4) factorial(4) = 4 * factorial(3) factorial(3) = 3 * factorial(2) factorial(2) = 2 * factorial(1) factorial(1) = 1 * factorial(0) factorial(0) = 1 // Base case // Unwinding factorial(1) = 1 * 1 = 1 factorial(2) = 2 * 1 = 2 factorial(3) = 3 * 2 = 6 factorial(4) = 4 * 6 = 24 factorial(5) = 5 * 24 = 120 (DONE) Exercise (Factorial) (Recursive): Write a recursive method called factorial() to compute the factorial of the given integer. public static int factorial(int n) The recursive algorithm is:…
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Write a recursive function using python for the problem: A palindrome is a sequence of characters which is the same when the sequence is reversed. Given an array A indexed from p to q containing characters, determine if the sequence of characters in A[p..q] forms a palindrome. Return True is a palindrome is formed and return False if it does not.
Recursion can be direct or indirect. It is direct when a function calls itself and it is indirect recursion when a function calls another function that then calls the first function. To illustrate solving a problem using recursion, consider the Fibonacci series: - 1,1,2,3,5,8,13,21,34...The way to solve this problem is to examine the series carefully. The first two numbers are 1. Each subsequent number is the sum of the previous two numbers. Thus, the seventh number is the sum of the sixth and fifth numbers. More generally, the nth number is the sum of n - 2 and n - 1, as long as n > 2.Recursive functions need a stop condition. Something must happen to cause the program to stop recursing, or it will never end. In the Fibonacci series, n < 3 is a stop condition. The algorithm to use is this: 1. Ask the user for a position in the series.2. Call the fib () function with that position, passing in the value the user entered.3. The fib () function examines the argument (n). If n < 3…
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