Matrix Permanent using Nijenhuis-Wilf in CMEX.

版本 1.1.0.0 (21.6 KB) 作者: Brian Butler
Computes the permanent of a square matrix rather fast.
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更新时间 2015/11/5

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Computes the permanent of a square matrix using the Nijenhuis-Wilf algorithm. This implementation is in CMEX (C language for MATLAB) and is about 400x faster than the implementation of the Ryser algorithm by L. Winslow in the MATLAB language. Additionally, this algorithm appears to be orders of magnitude more precise than the Ryser algorithm in our testing.

引用格式

Brian Butler (2025). Matrix Permanent using Nijenhuis-Wilf in CMEX. (https://www.mathworks.com/matlabcentral/fileexchange/53784-matrix-permanent-using-nijenhuis-wilf-in-cmex), MATLAB Central File Exchange. 检索时间: .

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版本 已发布 发行说明
1.1.0.0

* Added MATLAB language version of the function for reference as requested. It supports complex entries.
* Small changes to error messages.
1.0.0.0

Added image.