You can download it form official page: http://code.google.com/p/la4j/
Please, feel free in touch me if you are using la4j in yours projects. I would like to feel output from my work.
Here is full changelog:
Please, feel free in touch me if you are using la4j in yours projects. I would like to feel output from my work.
Here is full changelog:
- ~55 classes, ~6700 loc, ~90 tests, ~50 kb (bin);
- new package la4j.io for reading/writing matrices in MatrixMarket format;
- matrices decomposition (LU, QR, Cholesky, SVD, Eigenvalues) support;
- matrix inversion support;
- sparse (CSR) and dense matrices and vectors support;
- matrices and vectors can be serialized;
- la4j uses Maven and jUnit now;
Каким алгоритмом SVD считаете?
ReplyDeleteСамым очевидным, который описан в http://en.wikipedia.org/wiki/Singular_value_decomposition разделе SVD Calculation. Такой-же метод использует JAMA и LAPAC.
ReplyDeleteLAPACK? То есть статью Деммеля и Кахана вы тоже прочитали и улучшения оттуда реализовали)?
ReplyDelete