https://github.com/mrquincle/nd-array
N-dimensional array
https://github.com/mrquincle/nd-array
Last synced: 7 months ago
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N-dimensional array
- Host: GitHub
- URL: https://github.com/mrquincle/nd-array
- Owner: mrquincle
- Created: 2015-04-08T22:20:21.000Z (over 10 years ago)
- Default Branch: master
- Last Pushed: 2015-04-08T22:41:19.000Z (over 10 years ago)
- Last Synced: 2025-01-22T09:42:44.566Z (9 months ago)
- Language: C++
- Size: 117 KB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# What is this?
This is a single templated class for an N-dimensional array or "tensor". I have been using it in a probabilistic context (as a data structure for discrete joint distributions and discrete conditional distributions).
The implementation is quite straightforward and uses an internal vector as internal data structure. A "good implementation" would define probably some good external iterators over such data structure instead. To go from a "tabular" index to a "linear index" there are two functions defined:
* `get_linear_index`
* `get_tabular_index`
There are a bunch of convenience functions for 2D and 3D arrays.
One specific function is really useful in a probabilistic setting, namely:
value_container * get(const tabular_index & index, dimension_type summarize)
It "summarizes" the values of an nd-array in a particular dimension. For example, for a 2D array (a matrix) it returns values column-wise or row-wise. Note that it doesn't actually "sum" the values, it only returns a column or row.
Note that an nd-array can become really large. See the function `size()`. It is a multiplication of all the cardinalities of all involved dimensions.
# Copyrights
* License: LGPLv3, MIT and/or Apache.