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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Fast Multi-Pattern String Searching with the Aho-Corasick Algorithm
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Capture Groups: Tracking Regular Expression Sub Matches
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Resolving Shift/Reduce Conflicts With Operator Precedence
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Squeezing DFAs with Pair Compression
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Designing Abstract Syntax Trees: Homogenous vs. Heterogenous Node Structures
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From LR Items to LR States
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Calculating Follow Sets of a Context Free Grammar
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Streaming Images from ESP32-CAM for viewing on a CYD-esp32
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Constructing the Firsts Set of a Context Free Grammar
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Inchworm Evaluation, Or Evaluating Prefix-Expressions with a Queue
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