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UnitVector   (Built-in Mathematica Symbol)
UnitVector[k] gives the two-dimensional unit vector in the k\[Null]^th direction.UnitVector[n, k] gives the n-dimensional unit vector in the k\[Null]^th direction.
Use Function Templates   (Mathematica How To)
Mathematica lets you insert function templates that contain placeholders for the arguments of a function. You can do this directly from the keyboard or with several of ...
ClusteringComponents   (Built-in Mathematica Symbol)
ClusteringComponents[array] gives an array in which each element of array is replaced by an integer index representing the cluster in which the element ...
CrossMatrix   (Built-in Mathematica Symbol)
CrossMatrix[r] gives a matrix whose elements are 1 in a centered cross-shaped region that extends r positions along each index direction, and are 0 otherwise.CrossMatrix[r, ...
DiamondMatrix   (Built-in Mathematica Symbol)
DiamondMatrix[r] gives a matrix whose elements are 1 in a diamond-shaped region that extends r index positions to each side, and are 0 otherwise.DiamondMatrix[r, w] gives a ...
DiskMatrix   (Built-in Mathematica Symbol)
DiskMatrix[r] gives a matrix whose elements are 1 in a disk-shaped region of radius r, and are otherwise 0.DiskMatrix[r, w] gives a w*w matrix containing a disk of 1s with ...
DistributedContexts   (Built-in Mathematica Symbol)
DistributedContexts is an option for various parallel computing functions that specifies which definitions for symbols appearing in an expression should be distributed to all ...
ImageKeypoints   (Built-in Mathematica Symbol)
ImageKeypoints[image] finds key features in image and returns their coordinates.ImageKeypoints[image, prop] gives the specified property prop for each keypoint.
ImageMultiply   (Built-in Mathematica Symbol)
ImageMultiply[image, x] multiplies each channel value in image by a factor x.ImageMultiply[image_1, image_2] gives an image in which each pixel is the product of the ...
ParallelSum   (Built-in Mathematica Symbol)
ParallelSum[expr, {i, i_max}] evaluates in parallel the sum \[Sum]i = 1 i_max expr.ParallelSum[expr, {i, i_min, i_max}] starts with i = i min.ParallelSum[expr, {i, i_min, ...
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