Starting Out with Python (3rd Edition)
Starting Out with Python (3rd Edition)
3rd Edition
ISBN: 9780133582734
Author: Tony Gaddis
Publisher: PEARSON
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Chapter 12, Problem 8PE

Ackermann's Function

Ackermann's Function is a recursive mathematical algorithm that can be used to test how well a system optimizes its performance of recursion. Design a function ackermann (m, n), which solves Ackermann's function. Use the following logic in your function:

If m = 0 then return n + 1

If n = 0 then return ackermann (m - 1, 1)

Otherwise, return ackermann (m - 1, ackermann (m, n - 1))

Once you've designed your function, test it by calling it with small values for m and n.

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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);  }}
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>>;}
The first examples of recursion are the mathematical functions factorial and fibonacci. These functions are defined for non-negative integers using the following recursive formulas:factorial(0) = 1factorial(N) = N*factorial(N-1) for N > 0fibonacci(0) = 1fibonacci(1) = 1fibonacci(N) = fibonacci(N-1) + fibonacci(N-2) for N > 1Write recursive functions to compute factorial(N) and fibonacci(N) for a given non-negative integer N, and write a main() routine to test your functions.(In fact, factorial and fibonacci are really not very good examples of recursion, since the most natural way to compute them is to use simple for loops. Furthermore, fibonacci is a particularly bad example, since the natural recursive approach to computing this function is extremely inefficient.)

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Starting Out with Python (3rd Edition)

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