Public

If the given result is different to cublasStatus.CUBLAS_STATUS_SUCCESS and
exceptions have been enab

checkResult

Obtain the current CUBLAS status by calling cublasGetErrorNative, and store the
result as the lastRe

checkResultBLAS

cublasAllocNative

cublasCaxpyNative

cublasCcopyNative

cublasCdotcNative

cublasCdotuNative

cublasCgbmvNative

cublasCgemmNative

cublasCgemvNative

cublasCgercNative

cublasCgeruNative

cublasChbmvNative

cublasChemmNative

cublasChemvNative

cublasCher2Native

cublasCher2kNative

cublasCherNative

cublasCherkNative

cublasChpr2Native

Gson

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The GridLayout class is a layout manager that lays out a container's components
in a rectangular gri

java.awt.GridLayout

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An immutable arbitrary-precision signed decimal.A value is represented by an
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java.math.BigDecimal

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java.net.ServerSocket

Doubly-linked list implementation of the List and Dequeinterfaces. Implements
all optional list oper

java.util.LinkedList

A Map is a data structure consisting of a set of keys and values in which each
key is mapped to a si

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addToBackStack

getApplicationContext

/**
     * <pre>
     * void
     * cublasChbmv (char uplo, int n, int k, cuComplex alpha, const cuComplex *A, int lda,
     *              const cuComplex *x, int incx, cuComplex beta, cuComplex *y, int incy)
     *
     * performs the matrix-vector operation
     *
     *     y := alpha*A*x + beta*y
     *
     * alpha and beta are single precision complex scalars. x and y are single precision
     * complex vectors with n elements. A is an n by n hermitian band matrix consisting
     * of single precision complex elements, with k super-diagonals and the same number
     * of subdiagonals.
     *
     * Input
     * -----
     * uplo   specifies whether the upper or lower triangular part of the hermitian
     *        band matrix A is being supplied. If uplo == 'U' or 'u', the upper
     *        triangular part is being supplied. If uplo == 'L' or 'l', the lower
     *        triangular part is being supplied.
     * n      specifies the number of rows and the number of columns of the
     *        hermitian matrix A. n must be at least zero.
     * k      specifies the number of super-diagonals of matrix A. Since the matrix
     *        is hermitian, this is also the number of sub-diagonals. k must be at
     *        least zero.
     * alpha  single precision complex scalar multiplier applied to A*x.
     * A      single precision complex array of dimensions (lda, n). When uplo == 'U' or
     *        'u', the leading (k + 1) x n part of array A must contain the upper
     *        triangular band of the hermitian matrix, supplied column by column,
     *        with the leading diagonal of the matrix in row (k+1) of the array,
     *        the first super-diagonal starting at position 2 in row k, and so on.
     *        The top left k x k triangle of the array A is not referenced. When
     *        uplo == 'L' or 'l', the leading (k + 1) x n part of the array A must
     *        contain the lower triangular band part of the hermitian matrix,
     *        supplied column by column, with the leading diagonal of the matrix in
     *        row 1 of the array, the first sub-diagonal starting at position 1 in
     *        row 2, and so on. The bottom right k x k triangle of the array A is
     *        not referenced. The imaginary parts of the diagonal elements need
     *        not be set, they are assumed to be zero.
     * lda    leading dimension of A. lda must be at least (k + 1).
     * x      single precision complex array of length at least (1 + (n - 1) * abs(incx)).
     * incx   storage spacing between elements of x. incx must not be zero.
     * beta   single precision complex scalar multiplier applied to vector y. If beta is
     *        zero, y is not read.
     * y      single precision complex array of length at least (1 + (n - 1) * abs(incy)).
     *        If beta is zero, y is not read.
     * incy   storage spacing between elements of y. incy must not be zero.
     *
     * Output
     * ------
     * y      updated according to alpha*A*x + beta*y
     *
     * Reference: http://www.netlib.org/blas/chbmv.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 k or n < 0, or if incx or incy == 0
     * CUBLAS_STATUS_EXECUTION_FAILED if function failed to launch on GPU
     * </pre>
     */

/**
   * <pre>
   * void 
   * cublasChbmv (char uplo, int n, int k, cuComplex alpha, const cuComplex *A, int lda,
   *              const cuComplex *x, int incx, cuComplex beta, cuComplex *y, int incy)
   *
   * performs the matrix-vector operation
   *
   *     y := alpha*A*x + beta*y
   *
   * alpha and beta are single precision complex scalars. x and y are single precision
   * complex vectors with n elements. A is an n by n hermitian band matrix consisting 
   * of single precision complex elements, with k super-diagonals and the same number
   * of subdiagonals.
   *
   * Input
   * -----
   * uplo   specifies whether the upper or lower triangular part of the hermitian
   *        band matrix A is being supplied. If uplo == 'U' or 'u', the upper 
   *        triangular part is being supplied. If uplo == 'L' or 'l', the lower 
   *        triangular part is being supplied.
   * n      specifies the number of rows and the number of columns of the
   *        hermitian matrix A. n must be at least zero.
   * k      specifies the number of super-diagonals of matrix A. Since the matrix
   *        is hermitian, this is also the number of sub-diagonals. k must be at
   *        least zero.
   * alpha  single precision complex scalar multiplier applied to A*x.
   * A      single precision complex array of dimensions (lda, n). When uplo == 'U' or 
   *        'u', the leading (k + 1) x n part of array A must contain the upper
   *        triangular band of the hermitian matrix, supplied column by column,
   *        with the leading diagonal of the matrix in row (k+1) of the array,
   *        the first super-diagonal starting at position 2 in row k, and so on.
   *        The top left k x k triangle of the array A is not referenced. When
   *        uplo == 'L' or 'l', the leading (k + 1) x n part of the array A must
   *        contain the lower triangular band part of the hermitian matrix, 
   *        supplied column by column, with the leading diagonal of the matrix in
   *        row 1 of the array, the first sub-diagonal starting at position 1 in
   *        row 2, and so on. The bottom right k x k triangle of the array A is
   *        not referenced. The imaginary parts of the diagonal elements need 
   *        not be set, they are assumed to be zero. 
   * lda    leading dimension of A. lda must be at least (k + 1).
   * x      single precision complex array of length at least (1 + (n - 1) * abs(incx)).
   * incx   storage spacing between elements of x. incx must not be zero.
   * beta   single precision complex scalar multiplier applied to vector y. If beta is 
   *        zero, y is not read.
   * y      single precision complex array of length at least (1 + (n - 1) * abs(incy)). 
   *        If beta is zero, y is not read.
   * incy   storage spacing between elements of y. incy must not be zero.
   *
   * Output
   * ------
   * y      updated according to alpha*A*x + beta*y
   *
   * Reference: http://www.netlib.org/blas/chbmv.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 k or n < 0, or if incx or incy == 0  
   * CUBLAS_STATUS_EXECUTION_FAILED if function failed to launch on GPU
   * </pre>
   */

How to use cublasChbmvNativemethodin jcuda.jcublas.JCublas

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How to use
cublasChbmvNative
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jcuda.jcublas.JCublas