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
In yesterdays post I covered implementing selection sort for linked lists, so I figured I would cover Insertion sorting linked lists for the sake of completeness. I ended the selection sort article with assertion that for the
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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Procedural Map Generation with Binary Space Partitioning
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Exact Match String Searching: The Knuth-Morris-Pratt Algorithm
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The visitor pattern: OOP takes on the Expression Problem
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Improving mgcLisp's define syntax
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Separating the Men from the Boys, Knuth Style
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Reducing rotations during deletion from AVL trees
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Parsing Lisp: From Data To Code
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Swiz Heaps: A deterministic modification of Randomized Meldable Heaps
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Let's talk Eval/Apply
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BST Deletion: Removal By Merge