7. Ackermann's function is defined as: n+ 1, if m=0 А(т, п) — A(m-1,1), if m>0 and n=0 A(m-1,A(m, n-1)), if m>0 and n> 0 Write a recursive Python function to implement Ackermann's function. How many recursive calls will be required to evaluate A(2,3)? Hint: You may need to use a trace table to calculate the calls ... and the number of calls?
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- Ackermann's function (A) is defined as:A(m,n):Ackermann's function (A) is defined as:A(m,n):n+1, if m=0A(m-1,1), if m>0 and n=0A(m-1,A(m,n-1)), if m>0 and n> 0Write a recursive Python function to implement Ackermann's function. How many recursive calls willbe required to evaluate A(2,3)?n+1, if m=0A(m-1,1), if m>0 and n=0A(m-1,A(m,n-1)), if m>0 and n> 0Write a recursive Python function to implement Ackermann's function. How many recursive calls willbe required to evaluate A(2,3)?Write a recursive Python function that matches the following docstring: '''Function -- sum_fivesSums all positive multiples of five between 0 and some integer, n, inclusive.Parameters:n -- an integer.Returns:The sum of all positive multiples of five up to and including n.''' Examples: sum_fives(1) returns 0 sum_fives(5) returns 5 sum_fives(10) returns 15Implement a recursive C++ function which takes a character (ch) and a positive integer (n) and prints thecharacter ch, n times on the screen. The prototype of your function should be:void printChar (char ch, int n)For example, calling printChar('*',5) should display ***** on screen.Note: There should NOT be any loop in your function.
- Write a recursive function that, given a sequence of comparable values, returns the count of elements where the current element is less than the following ( next ) element in the given sequence. See the examples given below. def count_ordered ( seq ) : """ Input : A sequence of comparable elements Output : The number of elements that are less than the following element in the sequence Example : >>> count_ordered ( [ 1 , 2 , 3 , 4 , 5 , 6 ] ) 5 >>> count_ordered ( ( 1 , 12, 7.3 , -2,4 ) ) 2 >>> count_ordered ( 'Python' ) 2 >>> count_ordered ( [ 6 ] ) 0 >>> count_ordered ( [ ] ) 0 """ In the first example above , count_ordered ( [ 1,2,3,4,5,6 ] )the returned answer is 5 because for all the first 5 numbers the current number is less than the next number. In the second example above, count_ordered ( ( 1,12,7.3 , -2,4 ) )the…For function decToBinary, write the missing parts of the recursion case. This function should return a string that stores the binary equivalent for int variable num. Example: The binary equivalent of 13 may be found by repeatedly dividing 13 by 2. So, 13 in base 2 is represented by the string "1101". Examples: decToBinary(13) -> "1101" public String decToBinary (int num) { if (num < 2) return Integer.toString(num); else return <<Missing recursive call>> + <<Missing calculation>>;}Consider the following recursive function:int Func(int num){if (num == 0)return 0;elsereturn num+Func(num+1);}1. Is there a constraint on the values that can be passed as a parameter for this function to passthe smaller-caller question?2. Is Func(7) a good call? If so, what is returned from the function?3. Is Func(0) a good call? If so, what is returned from the function?4. Is Func(-5) a good call? If so, what is returned from the function?
- For function addOdd(n) write the missing recursive call. This function should return the sum of all postive odd numbers less than or equal to n. Examples: addOdd(1) -> 1addOdd(2) -> 1addOdd(3) -> 4addOdd(7) -> 16 public int addOdd(int n) { if (n <= 0) { return 0; } if (n % 2 != 0) { // Odd value return <<Missing a Recursive call>> } else { // Even value return addOdd(n - 1); }}is it correct ? Write a recursive function that returns the nth number in a fibonacci sequence when n is passed to function. The fibonacci sequence is like 0,1,1,2,3,5,8,13...... Answer: #include <iostream> using namespace std; int getFibonacci(int n) { if (n == 0 || n == 1) return n; else return getFibonacci(n - 1) + getFibonacci(n - 2); } int main() { int n = 7; int result = getFibonacci(n); cout << result; }Need some help with this c++ problem In order to compute a power of two, you can take the next-lower power and double it. For example, if you want to compute 211 and you know that 210 = 1024, then 211 = 2 × 1024 = 2048. Based on this observation, write a recursive function int pow2(int n) where n is the exponent. If the exponent is negative, return -1. int pow2(int n) { ..... }
- An arithmetic sequence is a sequence of values where successive values have a common difference. For example, 2,5,8,11,... is an arithmetic sequence starting at 2 with a common difference of 3. We call the starting point s and the difference d. Fill in the missing lines below to write a recursive Python function called arithmetic that takes values for s, d, and n, and returns the nth term of the arithmetic sequence. For example, given the main function: def main(): for i in range(1,6): print(arithmetic(2,3,i)) the output will be: 2 5 8 11 14 Note: No marks will be given for a non-recursive solution. Code with missing lines: # Line 1 # Line 2 # Line 3 # Line 4 # Line 5 Matching each line of code below to its proper line number (Line 1 to Line 5), indicated in the partial code above, to solve the problem. Some lines of code will not be used at all; for these you would select option 6 (i.e., Not Used) from the list of options - do not leave these blank. Question 8 options:…Write a recursive function definition for the following function: int squares(int n); //Precondition: n >= 1 //Returns the sum of the squares of numbers 1 through n. For example, squares(3) returns 14 because 12 + 22 + 32 is 14.Create a recursive function with arguments N and K in python 3 that does the following specifications:Using numbers ranging from 0 to 15 (inclusive), create all possible lists which sum up to K and have a length of N. Duplicated numbers are allowed as long as it fulfills the conditions above (this means [0,0,1], [0,1,0] and [1,0,0] are all correct outputs if K=1 and N=3) The function returns the number of created lists which follow the specifications mentioned. For example, given K=23 and N=2, the expected output of the function is 8. Constraints:1) The time complexity must be O(n) or faster. Indicate the time complexity of created code as proof.(Redundant due to constraint above, but still it is important to note that the function must be able to finish in 9 seconds or less when N=10)2) You are not allowed to use external libraries or itertools.