Jblas: Linear Algebra for Java

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Jblas: Linear Algebra for Java
Original author(s)	Mikio L. Braun

Stable release	1.2.3 / February 13, 2013 (2013-02-13)

Operating system	Cross-platform
Type	Library
License	BSD Revised
Website	jblas.org

jblas is a linear algebra library for the Java programming language. jblas is a fast library due to its use of native implementations of BLAS and LAPACK, which are the de-facto industry standard for matrix computations. jblas improved upon the archaic API found in BLAS and LAPACK (an artifact of them originating from the Fortran community) by providing an easy to use high level interface for Java users. By design, jblas removes much of the tediousness of using JNI interfaces and hide the Fortran calling conventions.^[1]

Capabilities

The following is an overview of jblas's capabilities, as listed on the project's website:^[1]

Eigen – eigendecomposition
Solve – solving linear equations
Singular – singular value decomposition
Decompose – LU, Cholesky, ...
Geometry – centering, normalizing, ...

Usage Example

Example of Eigenvalue Decomposition:

DoubleMatrix[] evd = Eigen.symmetricEigenvectors(matA);
DoubleMatrix V = evd[0];
DoubleMatrix D = evd[1];

Example of matrix multiplication:

DoubleMatrix result = matA.mmul(matB);

References

^ ^a ^b "Project Page". jblas. Retrieved September 22, 2013.