I'm working on some introductory recursion problems and I have a clarifying question I'd like to get answered. The most nagging question I have is how is this recursion operating in the solved problem below?
Despite having solved the problem, I'm just not understanding how the recursion call makes its way into the interior of the string. It would seem, from just looking at the code, that this method would only ever check the two characters on either end of the given string, without checking the rest. My textbook gives the deeply unsatisfying answer of, basically, don't worry about how recursion works as long as your return statement refines the problem. But I'm having difficulty knowing how to approach subsequent recursion problems without understanding how one can trace a recursive method in the same way one would trace a loop.
Any words of wisdom would be much appreciated.
Thanks!
public class isPalindrome {
public static boolean isPalindrome(String str)
{
//test for end of recursion
if(str.length() < 2) {return true;}
//check first and last character for equality
if(str.charAt(0) != str.charAt(str.length() - 1)){return false;}
//recursion call
return isPalindrome(str.substring(1, str.length() - 1));
}
public static void main(String[] args)
{
System.out.print(isPalindrome("deed"));
}
}
Recursive functions use something called “the call stack.” When a program calls a function, that function goes on top of the call stack. This is similar to a stack of books. You add things one at a time. Then, when you are ready to take something off, you always take off the top item.
The isPalindrome() function is recursively being called on str.substring(1, str.length() -1). So the callstack would look like this for the isPalindrome() calls:
1. isPalindrome("abcddcba"):
("a" == "a") = true, so recurse
2. isPalindrome("bcddcb"):
("b" == "b") = true, so recurse
3. isPalindrome("cddc"):
("c" == "c") = true, so recurse
4. isPalindrome("dd"):
("d" == "d") = true, so recurse
6. isPalindrome(""):
length < 2, so return true
The return value of the last call will propagate all the way to the top.
With recursion, pictures always help. Do your best to draw out the callstack as a diagram. It'll allow you to visualize, and therefore better understand, more complex recursions. This is a simple "linear" recursion but you'll eventually face "tree" like recursions.
Here's a picture that illustrates this exact problem for you to better visualize:
Think of the palindrome:
risetovotesir
This can actually be built by starting with the palindrome v
(a one-character string is always a palindrome, as is an empty string) and adding the same letter to front and back:
v Start with palindrome 'v'.
ovo Add 'o' to both ends.
tovot Then 't'.
etovote Then 'e'.
setovotes Then 's'.
isetovotesi Then 'i'.
risetovotesir And finally 'r'.
The process used by that recursive function is in the opposite direction, breaking the string down bit by bit. It detects if it is indeed a palindrome is if both:
Hence the code can be written as:
public static boolean isPalindrome (String str) {
// Zero- or one-character string is a palindrome.
if (str.length() < 2)
return true;
// If first and last characters are different, it's NOT palindromic.
if (str.charAt (0) != str.charAt (str.length() - 1))
return false;
// Otherwise it's palindromic only if the inner string is palindromic.
return isPalindrome (str.substring (1, str.length () - 1));
}
Using a string of peed deep
, the different levels are:
1. length 9 >= 2, both ends are 'p', next level checks 'eed dee'.
2. length 7 >= 2, both ends are 'e', next level checks 'ed de'.
3. length 5 >= 2, both ends are 'e', next level checks 'd d'.
4. length 3 >= 2, both ends are 'd', next level checks ' ' (space).
5. length 1 < 2, return true.
Alternatively, a non-palindrome (although tantalisingly close) of star rots
gives you:
1. length 9 >= 2, both ends are 's', next level checks 'tar rot'.
2. length 7 >= 2, both ends are 't', next level checks 'ar ro'.
3. length 5 >= 2, ends are 'a' and 'o', so return false.
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