Ahh, Heaps.
Heaps are one of those data structures that turn up everywhere. They serve a humble purpose: find the maximum value (depending on if you're using min or max ordering) of a set efficiently. It is this very purpose that imbuesRandomized Meldable Heaps
When it comes to priority queues, the binary heap is the go-to data structure when it comes to implementation, and with good reason. Binary heaps offer worst-case logarithmic complexity for all operations that i
Foreach
The "foreach" loop is a special case of the for loop, usually enacted on a linear container such as an array or a list, where for every iteration of the loop, some action is performed on a member of the container until that actio
Computer Sciences better mouse trap
In the beginning the large majority of sort implementations were the more commonly known quadratic sorts: selection sort, insertion sort, and the omnipresent bubble sort. Radix sort was in use for the physicQuicksort
In my previous post on quick sort I covered in detail the recursive implementation of the famous sorting algorithm. In that post I mentioned that a downside of quick sort is that it has the potential to encounter worst-case quadrati
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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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The visitor pattern: OOP takes on the Expression Problem
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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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