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TabView   (Built-in Mathematica Symbol)
TabView[{lbl_1 -> expr_1, lbl_2 -> expr_2, ...}] represents an object in which clicking the tab with label lbl_i displays expr_i. TabView[{lbl_1 -> expr_1, lbl_2 -> expr_2, ...
ParallelTable   (Built-in Mathematica Symbol)
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 ...
Partition   (Built-in Mathematica Symbol)
Partition[list, n] partitions list into non-overlapping sublists of length n. Partition[list, n, d] generates sublists with offset d. Partition[list, {n_1, n_2, ...}] ...
Alphabetical Listing   (Mathematica Guide)
Mathematica has over 3000 built-in functions and other objects, all based on a single unified framework, and all carefully designed to work together, both in simple ...
ListPlot3D   (Built-in Mathematica Symbol)
ListPlot3D[array] generates a three-dimensional plot of a surface representing an array of height values. ListPlot3D[{{x_1, y_1, z_1}, {x_2, y_2, z_2}, ...}] generates a plot ...
Applications   (CUDALink Tutorial)
Because GPUs are SIMD machines, to exploit CUDA's potential you must pose the problem in an SIMD manner. Computation that can be partitioned in such a way that each thread ...
ListLogPlot   (Built-in Mathematica Symbol)
ListLogPlot[{y_1, y_2, ...}] makes a log plot of the y_i, assumed to correspond to x coordinates 1, 2, ....ListLogPlot[{{x_1, y_1}, {x_2, y_2}, ...}] makes a log plot of the ...
RSolve   (Built-in Mathematica Symbol)
RSolve[eqn, a[n], n] solves a recurrence equation for a[n]. RSolve[{eqn_1, eqn_2, ...}, {a_1[n], a_2[n], ...}, n] solves a system of recurrence equations. RSolve[eqn, a[n_1, ...
Compiled Function Operation   (Compiled Function Tools Tutorial)
The Mathematica compiler generates a CompiledFunction expression that contains a sequence of simple instructions for evaluating a Mathematica computation. The compiled ...
Random Number Generation   (Mathematica Tutorial)
The ability to generate pseudorandom numbers is important for simulating events, estimating probabilities and other quantities, making randomized assignments or selections, ...
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