Fast Matrix for Java download

Fast Matrix for Java (fm4j) is a general-purpose matrix utility library for computing with dense matrices.

fm4j encapsulated different underlying implementations and select the optimal one in run-time depending on the size of the input matrix. Moreover, fm4j employs Java (Tm) Concurrency to take advantage of the computation power of multi-cor processors.

Features

Basic operations: Addition, Subtraction, Multiplication, Scalar Multiplication
Matrix Properties: Trace, Determinant, Transpose, Inverse, Eigenvalues, Singular values, Mean and Variance, Covariance
System of Linear Equations: Solve Full-Ranked system, Linear Regression
Decompositions: Cholesky Decomposition, LU Decomposition, QR Decomposition, Hessenberg Decomposition, Schur Decomposition, SVD
Signal Analysis: (Inverse) Discrete Fourier Transform, (Inverse) Discrete Fourier Transform in 2-D, (Inverse) Discrete Fourier Transform in Hyper-dimension, (Inverse) Discrete Haar Wavelet Transform
Clustering: K-Mean, Gaussian Mixture Model, DBSCAN
Spatial Functions: Implicit kd-tree, k-Nearest-Neighbor search, Query Window search
Classification: Logistic Regression, Feed-Forward Back-Propagate Neural Network
Special Matrix Construction: Null matrix, Identity matrix, Vandermonde matrix, Givens rotational matrix, Hilbert matrix, Augmented matrix, Kernel Trick
Import and Export: Serialization to text format, Serialization to code format, Read a matrix from a stream of number, Read a matrix from code format

Project Activity

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License

GNU General Public License version 3.0 (GPLv3)

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Additional Project Details

Intended Audience

Information Technology, Science/Research, Developers, Engineering

Programming Language

Java

Related Categories

Java Neural Network Libraries

Registered

2013-07-31

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