This question is from an exam I had, and I couldn\'t solve it and wanted to see what the answer is (this is not homework, as it will not help me in anything but knowledge).
I\'m accessing the minimum element of a binary tree lots of开发者_开发技巧 times. What implementations allow me to access the minimum element in constant time, rather than O(log n)?Depending on your o
Suppose I have a list of items (e.g., Posts) and I want to find the first item according to some non-trivial ordering (e.g., PublishDate and then CommentsCount as a tie-breaker).
I\'m learning SQL at the moment and I\'ve read that joins and subqueries can potentially be performance destroyers. I (somewhat) know the theory about algorithmic complexity in procedural programming
State machines can reduce complexity of workflows when there are multiple loops and branching or logic when the workflow must \"react\" to answers supplied by users.This would be an event-driven workf
Note that I don\'t have a \"problem\" and I\'m not looking for \"another way to find the big O of my algorithm\".
have been looking the page and lots of great people helping outhere so i have a开发者_Go百科 Lab Assignment and i know i have to do a method concerning the fibonacci numbers to caclulate the number in
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I saw lots of presentations on OSGi and i think it sounds promising for enforcing better modularization. Apparently \"hotdeployment\" and \"running different versions of x in parallel\" are mayor sell
There are languages that a Turing machine can handle that an LBA can\'t, but are there any useful, practical problems that LBAs can\'t solve but TMs can?
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