Software development is like a 3d-jig saw puzzle. Small "pieces" - in the form of basic instructions - are used to construct larger pieces of increasing complexity, such as sub routines, functions, and objects. At differing lev
I've always liked the selection sort algorithm. I'm not sure why, I think it's the frank simplicity of it. Unfortunately, it is amongst the slowest of sorting algorithms, and is firmly in the realm of theoretic interest over practical use. Yet still it
I was reading through a paper about block merge sort and in the article was a list of helper functions that the algorithm utilizes during its execution. This list was kind of a "who's who" of array manipulation algorithms. Thes
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Pascals Triangle
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A Quick tour of MGCLex
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Compiling Regular Expressions for "The VM Approach"
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Composable Linked Digraphs: An efficient NFA Data Structure for Thompsons Construction
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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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