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The Software Engineering of Mathematica   (Mathematica Tutorial)
Mathematica is one of the more complex software systems ever constructed. It is built from several million lines of source code, written in C/C++, Java and Mathematica. The C ...
Partitioning Data into Clusters   (Mathematica Tutorial)
Cluster analysis is an unsupervised learning technique used for classification of data. Data elements are partitioned into groups called clusters that represent proximate ...
VectorScale   (Built-in Mathematica Symbol)
VectorScale is an option to VectorPlot, ListVectorPlot, and related functions that determines the length and arrowhead size of field vectors that are drawn.
Beyond using a keyboard or mouse, you can control Mathematica with a joystick, gamepad, 3D mouse, or any device that follows the industry-standard human interface device ...
ParallelArray   (Built-in Mathematica Symbol)
ParallelArray[f, n] generates in parallel a list of length n, with elements f[i], evaluated.ParallelArray[f, {n_1, n_2, ...}] generates in parallel an n_1*n_2*... array of ...
ParallelDo   (Built-in Mathematica Symbol)
ParallelDo[expr, {i_max}] evaluates expr in parallel i_max times. ParallelDo[expr, {i, i_max}] evaluates expr in parallel with the variable i successively taking on the ...
Virtual Shared Memory   (Parallel Package Tutorial)
Special-purpose multiprocessing hardware comes in two types, shared memory and distributed memory. In a shared-memory machine, all processors have access to a common main ...
Algebraic Operations on Polynomials   (Mathematica Tutorial)
For many kinds of practical calculations, the only operations you will need to perform on polynomials are essentially structural ones. If you do more advanced algebra with ...
FactorialMoment   (Built-in Mathematica Symbol)
FactorialMoment[list, r] gives the r\[Null]^th moment of the elements in the list.FactorialMoment[dist, r] gives the r\[Null]^th moment of the symbolic distribution ...
ParallelTry   (Built-in Mathematica Symbol)
ParallelTry[f, {arg_1, arg_2, ...}] evaluates f[arg_i] in parallel, returning the first result received.ParallelTry[f, {arg_1, arg_2, ...}, k] returns a list of the first k ...
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