In the early days of computing, before the time of standardized instruction sets - or standardized anything really - software was decidedly non-portable. If you wrote a piece of software on machine A, it more than likely would
Along with arrays and lists, trees are the one of the most fundamental data structures in computer science, if not THE fundamental structure. There are many, many different tree-based data structures tailored to all sorts of use cases.
In a previous article on quicksort, I called it a fast sorting algorithm with an achilles heal: for certain inputs quicksort slows waaaaaay down. This is quite unfortunate, because on most inputs quicksort is very fast.
In a previous article I introduced what AVL trees are, their structure and insertion. If you have not read that article, go back and read it first, as code in this article builds of
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Composable Linked Digraphs: Yet another NFA Data Structure
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Improving the Space Efficiency of Suffix Arrays
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Augmenting B+ Trees For Order Statistics
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Top-Down AST Construction of Regular Expressions with Recursive Descent
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Balanced Deletion for in-memory B+ Trees
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Building an AST from a Regular Expression Bottom-up
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The Aho, Sethi, Ullman Direct DFA Construction Part 2: Building the DFA from the Followpos Table
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The Aho, Sethi, Ullman Direct DFA Construction, Part 1: Constructing the Followpos Table
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Procedural Map Generation with Binary Space Partitioning
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Exact Match String Searching: The Knuth-Morris-Pratt Algorithm