CUDABoxFilter[img, r] gives the box filter of img with radius r.CUDABoxFilter[list, r] gives the box filter of list with radius r.CUDABoxFilter[mem, r] gives the box filter ...
CUDAClamp[lst] clamps the values of lst between automatically determined values.CUDAClamp[lst, low, high] clamps the values of lst between low and high.
CUDADot[vec 1, vec 2] gives the dot product of vec_1 and vec_2.CUDADot[mat, vec] gives the matrix-vector product of mat and vec.CUDADot[mat_1, mat_2] gives the matrix-matrix ...
CUDAImageDivide[img, x] divides each channel value in img by an amount x.CUDAImageDivide[mem, x] divides each channel value in mem by an amount x.CUDAImageDivide[img 1, img ...
CUDAImageSubtract[img, x] subtracts an amount x from each channel value in img.CUDAImageSubtract[mem, x] subtracts an amount x from each channel value in ...
WaringYuleDistribution[\[Alpha]] represents the Yule distribution with shape parameter \[Alpha].WaringYuleDistribution[\[Alpha], \[Beta]] represents the Waring distribution ...
ParallelTable[expr, {i_max}] generates in parallel a list of i_max copies of expr.ParallelTable[expr, {i, i_max}] generates in parallel a list of the values of expr when i ...
Sometimes it is useful to work directly with the request message that is sent to a web service. This message may be retrieved using the ToServiceRequest function. ...
Recall that connections to remote kernels, as opened by LaunchKernels, are represented as kernel objects. See the chapter Connection Methods for details. The commands in this ...
AppendColumns, AppendRows, and BlockMatrix are available using the Mathematica kernel functions Join and ArrayFlatten. TakeRows, TakeColumns, TakeMatrix, and SubMatrix are ...