ShearingMatrix[\[Theta], v, n] gives the matrix corresponding to shearing by \[Theta] radians along the direction of the vector v, and normal to the vector n.

StandardDeviation[list] gives the sample standard deviation of the elements in list. StandardDeviation[dist] gives the standard deviation of the symbolic distribution dist.

ToeplitzMatrix[n] gives the n*n Toeplitz matrix with first row and first column being successive integers.ToeplitzMatrix[{c_1, c_2, ..., c_n}] gives the Toeplitz matrix whose ...

Variance[list] gives the sample variance of the elements in list. Variance[dist] gives the variance of the symbolic distribution dist.

Expressions are the main type of data in Mathematica. Expressions can be written in the form h[e_1,e_2,…]. The object h is known generically as the head of the expression. ...

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 ...

CUDAImageAdd[img, x] adds an amount x to each channel value in img.CUDAImageAdd[mem, x] adds an amount x to each channel value in mem.CUDAImageAdd[img 1, img 2] gives an ...

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 ...