Examples of org.encog.mathutil.matrices.Matrix

org.encog.mathutil.matrices.Matrix
This class implements a mathematical matrix. Matrix math is very important to neural network processing. Many of the neural network classes make use of the matrix classes in this package.


  public static void main(final String args[]) {
    long start, stop;


    start = System.currentTimeMillis();
    final Matrix a = MatrixBenchmark.generateRandomMatrix(500);
    final Matrix b = MatrixBenchmark.generateRandomMatrix(500);
    stop = System.currentTimeMillis();
    System.out.println("Setup matrix: " + ((stop - start)) / 1000.0);


    start = System.currentTimeMillis();
    MatrixMath.multiply(a, b);

View Full Code Here

   * 
   * @return U
   */


  public Matrix getU() {
    return new Matrix(U);
  }

View Full Code Here

   * 
   * @return V
   */


  public Matrix getV() {
    return new Matrix(V);
  }

View Full Code Here

   * 
   * @return S
   */


  public Matrix getS() {
    Matrix X = new Matrix(n, n);
    double[][] S = X.getData();
    for (int i = 0; i < n; i++) {
      for (int j = 0; j < n; j++) {
        S[i][j] = 0.0;
      }
      S[i][i] = this.s[i];

View Full Code Here

   * 
   * @return L
   */


  public Matrix getL() {
    Matrix X = new Matrix(m, n);
    double[][] L = X.getData();
    for (int i = 0; i < m; i++) {
      for (int j = 0; j < n; j++) {
        if (i > j) {
          L[i][j] = LU[i][j];
        } else if (i == j) {

View Full Code Here

   * 
   * @return U
   */


  public Matrix getU() {
    Matrix X = new Matrix(n, n);
    double[][] U = X.getData();
    for (int i = 0; i < n; i++) {
      for (int j = 0; j < n; j++) {
        if (i <= j) {
          U[i][j] = LU[i][j];
        } else {

View Full Code Here

      throw new RuntimeException("Matrix is singular.");
    }


    // Copy right hand side with pivoting
    int nx = B.getCols();
    Matrix Xmat = B.getMatrix(piv, 0, nx - 1);
    double[][] X = Xmat.getData();


    // Solve L*Y = B(piv,:)
    for (int k = 0; k < n; k++) {
      for (int i = k + 1; i < n; i++) {
        for (int j = 0; j < nx; j++) {

View Full Code Here

   * 
   * @return D
   */


  public Matrix getD() {
    final Matrix X = new Matrix(this.n, this.n);
    final double[][] D = X.getData();
    for (int i = 0; i < this.n; i++) {
      for (int j = 0; j < this.n; j++) {
        D[i][j] = 0.0;
      }
      D[i][i] = this.d[i];

View Full Code Here

   * Return the eigenvector matrix.
   * 
   * @return V
   */
  public Matrix getV() {
    return new Matrix(this.v);
  }

View Full Code Here

    double matrixData3[][] = {{47,52,57},
        {64,71,78},
        {81,90,99}
    };
    
    Matrix matrix1 = new Matrix(matrixData1);
    Matrix matrix2 = new Matrix(matrixData2);
    
    Matrix matrix3 = new Matrix(matrixData3);
    
    Matrix result = MatrixMath.multiply(matrix1,matrix2);
    
    TestCase.assertTrue(result.equals(matrix3));
  }

View Full Code Here

0 1 2 3 4 5 6 7 8 9

TOP

Related Classes of org.encog.mathutil.matrices.Matrix

org.encog.examples.neural.benchmark.MatrixBenchmark

org.encog.mathutil.matrices.decomposition.CholeskyDecomposition

org.encog.mathutil.matrices.decomposition.EigenvalueDecomposition

org.encog.mathutil.matrices.decomposition.EigenvalueDecompositionTest

org.encog.mathutil.matrices.decomposition.LUDecomposition

org.encog.mathutil.matrices.decomposition.QRDecomposition

org.encog.mathutil.matrices.decomposition.SingularValueDecomposition

org.encog.mathutil.matrices.hessian.BasicHessian

org.encog.mathutil.matrices.hessian.HessianCR

org.encog.mathutil.matrices.hessian.HessianFD

All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.