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Applying Functions to Parts of ...   (Mathematica Tutorial)
If you have a list of elements, it is often important to be able to apply a function separately to each of the elements. You can do this in Mathematica using Map. This ...
Group Theory Algorithms   (Mathematica Tutorial)
This tutorial introduces some basic algorithms for computing with finite permutation groups, other than those introduced in "Permutation Groups". A subgroup H of a group G ...
The Syntax of the Mathematica Language   (Mathematica Tutorial)
Mathematica uses various syntactic rules to interpret input that you give, and to convert strings and boxes into expressions. The version of these rules that is used for ...
Mathematical Functions   (Mathematica Guide)
Mathematica has the most extensive collection of mathematical functions ever assembled. Often relying on original results and algorithms developed at Wolfram Research over ...
\[DoubleRightArrow]   (Mathematica Character Name)
Unicode: 21D2. Alias: Esc ␣=> Esc. Infix arrow operator. x ⇒ y is by default interpreted as DoubleRightArrow[x,y]. Used in mathematics to indicate various strong forms of ...
\[LeftDoubleBracket]   (Mathematica Character Name)
Unicode: 301A. Alias: Esc [[ Esc. Compound operator with built-in evaluation rules. m〚i,j,… 〛 is by default interpreted as Part[m,i,j,…]. Sometimes used in mathematics to ...
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.
Tree Drawing   (Mathematica Tutorial)
TreePlot lays out the vertices of a graph in a tree of successive layers, or a collection of trees. If the graph g is not a tree, TreePlot lays out its vertices on the basis ...
Manipulating Lists by Their Indices   (Mathematica Tutorial)
Getting parts of lists. This gives a list of parts 1 and 3. Here is a nested list.
CUDAMemoryAllocate   (CUDALink Symbol)
CUDAMemoryAllocate[type, dim] gives CUDAMemory with specified type and single dimension.CUDAMemoryAllocate[type, {dim_1, dim_2, ...}] gives CUDAMemory with specified type and ...
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