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

Making http post requests using okhttp

Thrown when a program encounters the end of a file or stream during an input
operation.

java.io.EOFException

A connection to a URL for reading or writing. For HTTP connections, see
HttpURLConnection for docume

java.net.URLConnection

Note: Do not use this class since it is obsolete. Please use the Map interface
for new implementatio

java.util.Dictionary

A collection designed for holding elements prior to processing. Besides basic
java.util.Collection o

java.util.Queue

java.util.stream.Collectors

org.hibernate.mapping.Table

Return the contained value, if present, otherwise throw an exception to be
created by the provided s

orElseThrow

compareTo

requestLocationUpdates

/**
     * <pre>
     * cublasZgerc (int m, int n, cuDoubleComplex alpha, const cuDoubleComplex *x, int incx,
     *             const cuDoubleComplex *y, int incy, cuDoubleComplex *A, int lda)
     *
     * performs the symmetric rank 1 operation
     *
     *    A = alpha * x * conjugate(transpose(y)) + A,
     *
     * where alpha is a double precision complex scalar, x is an m element double
     * precision complex vector, y is an n element double precision complex vector, and A
     * is an m by n matrix consisting of double precision complex elements. Matrix A
     * is stored in column major format, and lda is the leading dimension of
     * the two-dimensional array used to store A.
     *
     * Input
     * -----
     * m      specifies the number of rows of the matrix A. It must be at least
     *        zero.
     * n      specifies the number of columns of the matrix A. It must be at
     *        least zero.
     * alpha  double precision complex scalar multiplier applied to x * conjugate(transpose(y))
     * x      double precision array of length at least (1 + (m - 1) * abs(incx))
     * incx   specifies the storage spacing between elements of x. incx must not
     *        be zero.
     * y      double precision complex array of length at least (1 + (n - 1) * abs(incy))
     * incy   specifies the storage spacing between elements of y. incy must not
     *        be zero.
     * A      double precision complex array of dimensions (lda, n).
     * lda    leading dimension of two-dimensional array used to store matrix A
     *
     * Output
     * ------
     * A      updated according to A = alpha * x * conjugate(transpose(y)) + A
     *
     * Reference: http://www.netlib.org/blas/zgerc.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 m < 0, n < 0, incx == 0, incy == 0
     * CUBLAS_STATUS_ARCH_MISMATCH    if invoked on device without DP support
     * CUBLAS_STATUS_EXECUTION_FAILED if function failed to launch on GPU
     * </pre>
     */

/**
   * <pre>
   * cublasZgerc (int m, int n, cuDoubleComplex alpha, const cuDoubleComplex *x, int incx, 
   *             const cuDoubleComplex *y, int incy, cuDoubleComplex *A, int lda)
   *
   * performs the symmetric rank 1 operation
   *
   *    A = alpha * x * conjugate(transpose(y)) + A,
   *
   * where alpha is a double precision complex scalar, x is an m element double 
   * precision complex vector, y is an n element double precision complex vector, and A 
   * is an m by n matrix consisting of double precision complex elements. Matrix A
   * is stored in column major format, and lda is the leading dimension of
   * the two-dimensional array used to store A.
   * 
   * Input
   * -----
   * m      specifies the number of rows of the matrix A. It must be at least 
   *        zero.
   * n      specifies the number of columns of the matrix A. It must be at 
   *        least zero.
   * alpha  double precision complex scalar multiplier applied to x * conjugate(transpose(y))
   * x      double precision array of length at least (1 + (m - 1) * abs(incx))
   * incx   specifies the storage spacing between elements of x. incx must not
   *        be zero.
   * y      double precision complex array of length at least (1 + (n - 1) * abs(incy))
   * incy   specifies the storage spacing between elements of y. incy must not 
   *        be zero.
   * A      double precision complex array of dimensions (lda, n).
   * lda    leading dimension of two-dimensional array used to store matrix A
   *
   * Output
   * ------
   * A      updated according to A = alpha * x * conjugate(transpose(y)) + A
   *
   * Reference: http://www.netlib.org/blas/zgerc.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 m < 0, n < 0, incx == 0, incy == 0
   * CUBLAS_STATUS_ARCH_MISMATCH    if invoked on device without DP support 
   * CUBLAS_STATUS_EXECUTION_FAILED if function failed to launch on GPU
   * </pre>
   */

How to use cublasZgercNativemethodin jcuda.jcublas.JCublas

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How to use
cublasZgercNative
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jcuda.jcublas.JCublas