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ampack (JAva Matrix PACKage) is a collection of cooperating classes designed to perform matrix computations in Java applications. Jampack was developed by the author at NIST and the University of Maryland. A sibling matrix package, Jama, has also been developed at NIST and Mathworks. The two packages arose from the need to evaluate alternate designs for the implementation of matrices in Java. Jama is based on a single matrix class within a strictly object-oriented framework. Jampack uses a more open approach that lends itself to extension by the user. As it turns out, for the casual user the packages differ principally in the syntax of the matrix operations. I hope you will take the time to look at Jama along with Jampack. There is much to be learned from both packages.

Jama---java 矩阵运算包

The Universal Java Matrix Package (UJMP) is an open source library for dense and sparse matrix computations and linear algebra in Java. In addition to the basic operations like matrix multiplication, matrix inverse or decomposition methods, it also supports visualization, JDBC import/export and many other useful functions such as mean, correlation, standard deviation, mutual information, or the replacement of missing values. It's a swiss army knife for data processing in Java, tailored to machine learning applications.