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java Programming Glossary: n^2Algorithm for Determining Tic Tac Toe Game Over http://stackoverflow.com/questions/1056316/algorithm-for-determining-tic-tac-toe-game-over
All overlapping substrings matching a java regex http://stackoverflow.com/questions/11303309/all-overlapping-substrings-matching-a-java-regex Theoretically it should be possible there is an obvious O n^2 algorithm that enumerates and checks all the substrings against..
Correct way to synchronize ArrayList in java http://stackoverflow.com/questions/1431681/correct-way-to-synchronize-arraylist-in-java all following elements have to be copied making this an O n^2 operation horribly slow for larger lists. Instead simply call..
Finding largest prime number out of 600851475143? http://stackoverflow.com/questions/15279278/finding-largest-prime-number-out-of-600851475143 2. All integers are divisible by 1. 2 You are running an O n^2 algorithm against a rather large N or at least you will be once..
why is in place merge sort not stable? http://stackoverflow.com/questions/1933822/why-is-in-place-merge-sort-not-stable is implemented using insertion sort as you know it's O n^2 . You may have to re implement when you sort huge arrays. share..
Big O Notation Homework--Code Fragment Algorithm Analysis? [closed] http://stackoverflow.com/questions/216796/big-o-notation-homework-code-fragment-algorithm-analysis to execute the body of the loop n n times so it would be O n^2 then you compound that with the order of the other code. Fragment..
In Java, for a string x, what is the runtime cost of s.length()? Is it O(1) or O(n)? http://stackoverflow.com/questions/254726/in-java-for-a-string-x-what-is-the-runtime-cost-of-s-length-is-it-o1-or-o code such as for int i 0 i x.length i blah is actually O n^2 because of the repeated calls to x.length . Instead I should..
What is the complexity of this simple piece of code? http://stackoverflow.com/questions/7156122/what-is-the-complexity-of-this-simple-piece-of-code the new word then the complexity of the loop is O n^2 where n is the total number of characters in all the words also.. basically takes us back to square one where the loop has O n^2 complexity and is what the book seems to suggest. If you assume.. Depending on how it happens you could end up with either O n^2 or O n log n overall. As an exercise left to the reader Find..
Fastest Gaussian blur implementation http://stackoverflow.com/questions/98359/fastest-gaussian-blur-implementation is O n log n while the complexity of a convolution is O n^2 . Also if you need to blur many images with the same filter..
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