Package org.jblas

Examples of org.jblas.DoubleMatrix$ColumnsAsListView

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public class JBLASNativeJavaInterface {

    //  Computes the eigenvalues of a general matrix.
public static ComplexDoubleMatrix jblas_eigenvalues(double [][]dM) {
    return org.jblas.Eigen.eigenvalues(new DoubleMatrix(dM));
}
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   //   Computes the eigenvalues and eigenvectors of a general matrix.
   //   returns an array of ComplexDoubleMatrix objects containing the eigenvectors
   //          stored as the columns of the first matrix, and the eigenvalues as the
   //         diagonal elements of the second matrix.
public static ComplexDoubleMatrix[]  jblas_eigenvectors(double [][]dM) {
    return org.jblas.Eigen.eigenvectors(new DoubleMatrix(dM));
}
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    return org.jblas.Eigen.eigenvectors(new DoubleMatrix(dM));
}
    
//  Compute the eigenvalues for a symmetric matrix.
public static DoubleMatrix  jblas_symmetricEigenvalues(double [][]dM) {
    return org.jblas.Eigen.symmetricEigenvalues(new DoubleMatrix(dM));
}
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//  Computes the eigenvalues and eigenvectors for a symmetric matrix.
//  returns an array of DoubleMatrix objects containing the eigenvectors
//         stored as the columns of the first matrix, and the eigenvalues as
//         diagonal elements of the second matrix.
public static DoubleMatrix []  jblas_symmetricEigenvectors(double [][]dM) {
    return org.jblas.Eigen.symmetricEigenvectors(new DoubleMatrix(dM));
}
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// @param A symmetric Matrix A. Only the upper triangle will be considered.
//  @param B symmetric Matrix B. Only the upper triangle will be considered.
//  @return a vector of eigenvalues L.
   
public static DoubleMatrix jblas_symmetricGeneralizedEigenvalues( double [][] A, double [][] B) {
    return org.jblas.Eigen.symmetricGeneralizedEigenvalues(new DoubleMatrix(A), new DoubleMatrix(B));
}
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     * @param B symmetric matrix B
     * @return an array of matrices of length two. The first one is an array of the eigenvectors X
     *         The second one is A vector containing the corresponding eigenvalues L.
     */
public static DoubleMatrix [] jblas_symmetricGeneralizedEigenvectors( double [][] A, double [][] B) {
    return org.jblas.Eigen.symmetricGeneralizedEigenvectors(new DoubleMatrix(A), new DoubleMatrix(B));
}
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     *
     * @param A symmetric, positive definite matrix (only upper half is used)
     * @return upper triangular matrix U such that  A = U' * U
     */
public static  DoubleMatrix  jblas_cholesky(double [][]A) {
  return org.jblas.Decompose.cholesky(new DoubleMatrix(A));
}
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  return org.jblas.Decompose.cholesky(new DoubleMatrix(A));
}

/** Solves the linear equation A*X = B. */
public static DoubleMatrix jblas_solve(double [][]A, double [][] B) {
    return org.jblas.Solve.solve(new DoubleMatrix(A),  new DoubleMatrix(B));
}
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    return org.jblas.Solve.solve(new DoubleMatrix(A),  new DoubleMatrix(B));
}

/** Solves the linear equation A*X = B for symmetric A. */
public static DoubleMatrix jblas_solveSymmetric(double [][]A, double [][] B) {
    return org.jblas.Solve.solveSymmetric(new DoubleMatrix(A),  new DoubleMatrix(B));
}
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    return org.jblas.Solve.solveSymmetric(new DoubleMatrix(A),  new DoubleMatrix(B));
}

/** Solves the linear equation A*X = B for symmetric and positive definite A. */
public static DoubleMatrix jblas_solvePositive(double [][]A, double [][] B) {
    return org.jblas.Solve.solvePositive(new DoubleMatrix(A),  new DoubleMatrix(B));
}
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