raster-retrace | Image tracing command line utility | Graphics library
kandi X-RAY | raster-retrace Summary
kandi X-RAY | raster-retrace Summary
Image tracing command line utility.
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QUESTION
I've been using a data structure which the original developer called a heap
, it's used to implement a priority queue.
While there is a lot written about binary trees, (min/max) heaps seem less well defined (details vary between implementations).
Some characteristics I've noticed that don't necessarily apply to binary-tree structures.
- The same element can be in the queue multiple times without causing complication in execution or implementation.
- Searching (while possible and faster than an exhaustive search), is not so efficient (since the child elements of each node don't have to be balanced).
- Since searching is not efficient and there is a potential for duplicates, removal may require storing a reference to the
node
, instead of using akey
to look-up the node (which is common practice for binary trees). - Changing priorities in the heap is trivial, compared to a binary tree where it's most common to delete+insert.
(with a better best case and a worse worst case compared to binary-trees)
Is there more detailed terminology for data structures that match these characteristics?
Or is it simply a min/max heap
which happens to be used as a priority-queue
?
Note, heres a link to a min-heap that has the characteristics described above.
...ANSWER
Answered 2017-Oct-31 at 00:31I think you’re confusing binary search trees and binary trees. A binary tree is more of a shape than anything else - it’s a tree where each node has at most two children. The nodes don’t necessarily have to have values in them, and if they do, there’s no requirement that they obey any particular rules.
A binary search tree is a binary tree where each node holds a key, and each node obeys the rule that all keys in the left subtree are less than the node’s key and all keys in the right subtree are greater than the node’s key. (Some definitions relax the requirement to allow for less-than-or-equal-to instead of just less than, etc.)
There are many other data structures built from binary trees that aren’t BSTs. k-d Trees store multidimensional data. Binary tries store strings of bits.
So I think the best description here is “binary heaps are binary trees that are complete and obey the heap property, which isn’t the same as a binary search tree even though they have the same underlying shape (more or less).”
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