The GitHub repo containing the solution code also comes with a test suite, so you can practice or play around with finding alternate solutions for this problem if you like. While not specifically applicable to every algorithm problem, and not always the most performant or elegant solution, it’s a reliable workhorse model that can serve you well! I have found this model to be a really handy tool that reliably provides me with a place to start when tackling algorithmic challenges. Function for generating different permutations of the string def generatePermutation(string,start,end): current 0 Prints the permutations if(start. So what was our master theorem based approach again?ġ: Establish a base case - if our input’s size is less than a certain constant, solve it directly without recursion.Ģ: If the input is bigger than said constant, break it down into smaller pieces.ģ: Call the function recursively on the pieces, until they are small enough to be solved directly.Ĥ: Combine the results from the pieces, and return the completed solution. Perfect! □ A master theorem based approach allowed us to quickly break this problem down into bite sized pieces and begin returning correct results, leaving only a few tweaks needed here and there to deliver our solution in exactly the desired format. Let’s run findPermutation with this addition. If this is true, we can continue, which will essentially skip the current iterative loop and move on to the next. indexOf returns the first index of a character, so if we’ve already run findPermutations for an “a”, for example, the indexOf(“a”) will be different than the index of char, the current, later “a”. There are a lot of different ways to remove superfluous elements, but I chose to use Javascript’s indexOf method to identify if the current character has already been run through our findPermutations method. If (!string || typeof string != "string") If my final solution may return more than one “correct” element (in this case, permutations), I’ll need a place to store them before I return the complete solution.Ģ: Iterate! If I need to find all the ordered combinations of characters in a string, creating a loop to iterate through all the characters in a string seems like a decent place to start. Also, the total number of permutations of string in Java is equal to the factorial of the length of the specified string. When I see a challenge like this, my first instinct is two do two things:ġ: Make an empty array. Finding permutations of string in Java means calculating all the possible new arrangements of the string by interchanging the position of characters. So we’ve figured out what a permutation is, and established that (depending on the length of the string) we may be looking for a lot of them. Suddenly, this whole string-manipulation problem seems a bit more intimidating. The whole point of combination locks is that a relatively small amount of numbers can create a large enough number of ordered combinations to prohibit casual opening. However, it does not need to be an existing word, but can simply be a re-arrangement of the characters.Īn example of permutations of something other than a string would be this:įor just three colors, we can have six different permutations, or ordered combinations of those colors.Īnother example of permutations would be a combination lock: A string permutation is similar to an anagram. So every string has a number of permutations into which its characters could be re-arranged. The solution model I explore here utilizes tools and concepts that I find broadly valuable for the solution of algorithmic challenges, and methods that I find intuitive for string manipulation within Javascript.įirst things first: What is a permutation?Ī way, especially one of several possible variations, in which a set or number of things can be ordered or arranged. Note : There is more than one way to solve this problem. Why? While the task of manipulating a string may seem familiar on its surface, actually finding a complete solution requires us to handle some unexpected complexity, which provides the opportunity to utilize a recursive tree and build a bit of familiarity with the master theorem. When I sat down to solve this problem, I found it to be a great algorithm challenge. Given a string, return all permutations of the string. In order to get all the permutations as string, you'll need to iterate over the function call and join the tuples.GitHub repo with completed solution code and test suite. This method return successive r length permutations of elements in the iterable as tuples. To find all possible permutations of a given string, you can use the itertools module which has a useful method called permutations(iterable).
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