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cublasCher2Native

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/**
     * <pre>
     * void cublasCher2 (char uplo, int n, cuComplex alpha, const cuComplex *x, int incx,
     *                   const cuComplex *y, int incy, cuComplex *A, int lda)
     *
     * performs the hermitian rank 2 operation
     *
     *    A = alpha*x*conjugate(transpose(y)) + conjugate(alpha)*y*conjugate(transpose(x)) + A,
     *
     * where alpha is a single precision complex scalar, x and y are n element single
     * precision complex vector and A is an n by n hermitian matrix consisting of single
     * precision complex elements.
     *
     * Input
     * -----
     * uplo   specifies whether the matrix data is stored in the upper or the lower
     *        triangular part of array A. If uplo == 'U' or 'u', then only the
     *        upper triangular part of A may be referenced and the lower triangular
     *        part of A is inferred. If uplo == 'L' or 'l', then only the lower
     *        triangular part of A may be referenced and the upper triangular part
     *        of A is inferred.
     * n      specifies the number of rows and columns of the matrix A. It must be
     *        at least zero.
     * alpha  single precision complex scalar multiplier applied to x * conjugate(transpose(y)) +
     *        y * conjugate(transpose(x)).
     * x      single precision array of length at least (1 + (n - 1) * abs (incx)).
     * incx   storage spacing between elements of x. incx must not be zero.
     * y      single precision array of length at least (1 + (n - 1) * abs (incy)).
     * incy   storage spacing between elements of y. incy must not be zero.
     * A      single precision complex array of dimensions (lda, n). If uplo == 'U' or 'u',
     *        then A must contains the upper triangular part of a hermitian matrix,
     *        and the strictly lower triangular parts is not referenced. If uplo ==
     *        'L' or 'l', then A contains the lower triangular part of a hermitian
     *        matrix, and the strictly upper triangular part is not referenced.
     *        The imaginary parts of the diagonal elements need not be set,
     *        they are assumed to be zero, and on exit they are set to zero.
     *
     * lda    leading dimension of A. It must be at least max(1, n).
     *
     * Output
     * ------
     * A      updated according to A = alpha*x*conjugate(transpose(y))
     *                               + conjugate(alpha)*y*conjugate(transpose(x))+A
     *
     * Reference: http://www.netlib.org/blas/cher2.f
     *
     * Error status for this function can be retrieved via cublasGetError().
     *
     * Error Status
     * ------------
     * CUBLAS_STATUS_NOT_INITIALIZED  if CUBLAS library has not been initialized
     * CUBLAS_STATUS_INVALID_VALUE    if n < 0, incx == 0, incy == 0
     * CUBLAS_STATUS_EXECUTION_FAILED if function failed to launch on GPU
     * </pre>
     */

/**
   * <pre>
   * void cublasCher2 (char uplo, int n, cuComplex alpha, const cuComplex *x, int incx, 
   *                   const cuComplex *y, int incy, cuComplex *A, int lda)
   *
   * performs the hermitian rank 2 operation
   *
   *    A = alpha*x*conjugate(transpose(y)) + conjugate(alpha)*y*conjugate(transpose(x)) + A,
   *
   * where alpha is a single precision complex scalar, x and y are n element single 
   * precision complex vector and A is an n by n hermitian matrix consisting of single 
   * precision complex elements.
   * 
   * Input
   * -----
   * uplo   specifies whether the matrix data is stored in the upper or the lower
   *        triangular part of array A. If uplo == 'U' or 'u', then only the 
   *        upper triangular part of A may be referenced and the lower triangular
   *        part of A is inferred. If uplo == 'L' or 'l', then only the lower 
   *        triangular part of A may be referenced and the upper triangular part
   *        of A is inferred.
   * n      specifies the number of rows and columns of the matrix A. It must be
   *        at least zero.
   * alpha  single precision complex scalar multiplier applied to x * conjugate(transpose(y)) + 
   *        y * conjugate(transpose(x)).
   * x      single precision array of length at least (1 + (n - 1) * abs (incx)).
   * incx   storage spacing between elements of x. incx must not be zero.
   * y      single precision array of length at least (1 + (n - 1) * abs (incy)).
   * incy   storage spacing between elements of y. incy must not be zero.
   * A      single precision complex array of dimensions (lda, n). If uplo == 'U' or 'u',
   *        then A must contains the upper triangular part of a hermitian matrix,
   *        and the strictly lower triangular parts is not referenced. If uplo ==
   *        'L' or 'l', then A contains the lower triangular part of a hermitian 
   *        matrix, and the strictly upper triangular part is not referenced.
   *        The imaginary parts of the diagonal elements need not be set, 
   *        they are assumed to be zero, and on exit they are set to zero. 
   *
   * lda    leading dimension of A. It must be at least max(1, n).
   *
   * Output
   * ------
   * A      updated according to A = alpha*x*conjugate(transpose(y))
   *                               + conjugate(alpha)*y*conjugate(transpose(x))+A
   *
   * Reference: http://www.netlib.org/blas/cher2.f
   *
   * Error status for this function can be retrieved via cublasGetError().
   * 
   * Error Status
   * ------------
   * CUBLAS_STATUS_NOT_INITIALIZED  if CUBLAS library has not been initialized
   * CUBLAS_STATUS_INVALID_VALUE    if n < 0, incx == 0, incy == 0
   * CUBLAS_STATUS_EXECUTION_FAILED if function failed to launch on GPU
   * </pre>
   */

How to use cublasCher2Nativemethodin jcuda.jcublas.JCublas

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How to use
cublasCher2Native
method
in
jcuda.jcublas.JCublas