LHS with sudoku constraint
Project description
Latin hypercube sampler with a sudoku-like constraint.
The sudoku LHS algorithm is a bit like the first stage in the design of an N-dimensional sudoku puzzle, hence the name: each “sudoku box” must have exactly the same number of samples, and no two samples may occur on the same axis-aligned hyperplane.
This gives coarse stratification in N dimensions with linear runtime.
Supports Python 2.7 and 3.4.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
sudoku_lhs-0.1.1.tar.gz
(13.3 kB
view details)
Built Distribution
File details
Details for the file sudoku_lhs-0.1.1.tar.gz
.
File metadata
- Download URL: sudoku_lhs-0.1.1.tar.gz
- Upload date:
- Size: 13.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c67be39614563fca2956c1f76b11197973831382415502e775e63948fc2ba84a |
|
MD5 | 0dc7bc131167129408e44b802c52c8fb |
|
BLAKE2b-256 | 7b2833656018d7a528415b70995de51c555413279b342d47653b54434e4344b1 |
File details
Details for the file sudoku_lhs-0.1.1-py2.py3-none-any.whl
.
File metadata
- Download URL: sudoku_lhs-0.1.1-py2.py3-none-any.whl
- Upload date:
- Size: 15.9 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1bd57af7718540e5afc0119d115e3832880a3c38621fa46f230aa92435e7e40d |
|
MD5 | 6e74a72afae9d5b7e0120f3b65f38854 |
|
BLAKE2b-256 | 47e1658703120433e9e1691536ec72358c2aaf6d58765f50eb1015f6b96853c3 |