B+ trees are used heavily to implement index structures for many of the leading RDBMS vendors, traditionally for externally stored data. As computer architectures have evolved B+ trees are increasingly finding use as in-memory data structures
In my past projects when needed I have always implemented AST building parsers for regular expressions bottom-up by using the shunting yard algorithm. I've covered the process of doing so in my post on Thompsons Construction. While this approach certai
When it comes to data structures - especially self balancing data structures - it is no secret that the algorithms for removing an entry are often many, many times more complex than the algorithms for adding a value. Anyone w
This post was originally featured as a section of my post on implementing Thompsons Construction for NFA from a regular expression. Having since implemented several FA constructions, all of which utilized an AST representation of the given exp
In part one of this post I covered building and annotating an abstract syntax tree from a postfix regular expression, as well as populating the firstpos, lastpos, and followpos sets for each node in the AST is it relates to it's position in the regular
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Pascal & Bernoulli & Floyd: Triangles
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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