There are many great numeric libraries available in Java, but here are a few of the best:
- Apache Commons Math: Apache Commons Math is a library of lightweight, self-contained mathematics and statistics components addressing the most common problems not available in the Java programming language or Commons Lang. It provides a wide range of features for mathematical operations, random number generation, and special functions.
- EJML: Efficient Java Matrix Library (EJML) is an open-source linear algebra library that provides a wide range of features for matrix and vector operations. It is very well-optimized and can be used for a variety of tasks, including machine learning, computer vision, and scientific computing.
- JAMA: JAMA is a numerical linear algebra toolkit for the Java programming language. It provides a wide range of features for matrix and vector operations, and it is very well-documented and easy to use.
- JMathPlot: JMathPlot is an open-source plotting library for Java. It provides a wide range of features for creating 2D and 3D plots, and it is very easy to use.
- JOCL: JOCL is an open-source library for using OpenCL with Java. OpenCL is a parallel programming API that can be used to accelerate numerical computations on GPUs and other accelerators. JOCL makes it easy to use OpenCL from Java, and it provides a wide range of features for numerical computing.
The best library for you will depend on your specific needs and requirements. If you need a high-performance library for scientific computing, then Apache Commons Math or EJML would be a good choice. If you need a well-documented and easy-to-use library, then JAMA would be a good choice. And if you need a plotting library, then JMathPlot would be a good choice.