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
Categories
Neural Network LibrariesLicense
GNU General Public License version 3.0 (GPLv3)Follow Fast Matrix for Java
Other Useful Business Software
Passwordless Authentication and Passwordless Security
It’s no secret — passwords can be a real headache, both for the people who use them and the people who manage them. Over time, we’ve created hundreds of passwords, it’s easy to lose track of them and they’re easily compromised. Fortunately, passwordless authentication is becoming a feasible reality for many businesses. Duo can help you get there.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Fast Matrix for Java!