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A controller for the selection of SelectableChannel objects. Selectable channels
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/**
     * <pre>
     * float
     * cublasScasum (int n, const cuDouble *x, int incx)
     *
     * takes the sum of the absolute values of a complex vector and returns a
     * single precision result. Note that this is not the L1 norm of the vector.
     * The result is the sum from 0 to n-1 of abs(real(x[ix+i*incx])) +
     * abs(imag(x(ix+i*incx))), where ix = 1 if incx <= 0, else ix = 1+(1-n)*incx.
     *
     * Input
     * -----
     * n      number of elements in input vector
     * x      single-complex vector with n elements
     * incx   storage spacing between elements of x
     *
     * Output
     * ------
     * returns the single precision sum of absolute values of real and imaginary
     * parts (0 if n <= 0 or incx <= 0, or if an error occurs)
     *
     * Reference: http://www.netlib.org/blas/scasum.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_EXECUTION_FAILED if function failed to launch on GPU
     * </pre>
     */

/**
   * <pre>
   * float 
   * cublasScasum (int n, const cuDouble *x, int incx)
   *
   * takes the sum of the absolute values of a complex vector and returns a
   * single precision result. Note that this is not the L1 norm of the vector.
   * The result is the sum from 0 to n-1 of abs(real(x[ix+i*incx])) +
   * abs(imag(x(ix+i*incx))), where ix = 1 if incx <= 0, else ix = 1+(1-n)*incx.
   * 
   * Input
   * -----
   * n      number of elements in input vector
   * x      single-complex vector with n elements
   * incx   storage spacing between elements of x
   *
   * Output
   * ------
   * returns the single precision sum of absolute values of real and imaginary
   * parts (0 if n <= 0 or incx <= 0, or if an error occurs)
   *
   * Reference: http://www.netlib.org/blas/scasum.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_EXECUTION_FAILED if function failed to launch on GPU
   * </pre>
   */

How to use cublasScasumNativemethodin jcuda.jcublas.JCublas

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How to use
cublasScasumNative
method
in
jcuda.jcublas.JCublas