la4j - Java的线性代数
jopen
12年前
la4j - 是一个单线程，开源的，纯Java类库，提供了线性代数的原语和算法。
以是它的一些主要特性：
- 没有依赖和小规模 (~100kb jar)
- 简约和完全面向对象的API
- 稀(CRS, CCS) 和 密(1D/2D arrays) 矩阵支持
- 线性方程组求解 (Gaussian, Jacobi, Zeidel, Square Root, Sweep and other)
- 矩阵分解 (Eigenvalues, SVD, QR, LU, Cholesky and other)
- MatrixMarket/CSV IO 矩阵和向量格式支持
Factory basic2d = new Basic2DFactory(); Factory crs = new CRSFactory(); // a - is 3x3 dense 2D-array matrix Matrix a = basic2d.createMatrix(new double[][] { {1.0, 0.0, 0.0}, {0.0, 5.0, 0.0}, {0.0, 0.0, 9.0} }); // b - is 3x4 sparse CRS matrix Matrix b = crs.createMatrix(3, 4); // c - is 5x5 random dense 2D-array matrix Matrix c = basic2d.createRandomMatrix(5, 5); // d - is 10x10 identity dense 2D-array matrix Matrix d = basic2d.createIdentityMatrix(10); // convert dense 2D-array to sparse CRS matrix Matrix e = a.copy(crs); // convert sparse CSR to dense 2D-array matrix Matrix f = b.copy(basic2d);