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Finite Fields Package   (Finite Fields Package Tutorial)
A field is an algebraic structure obeying the rules of ordinary arithmetic. In particular, a field has binary operations of addition and multiplication, both of which are ...
Statistical Plots Package   (Statistical Plots Package Tutorial)
A wide variety of plots and charts are used to gain an overview of data from a statistical perspective. Some summarize statistical computations on the data, while others ...
BreadthFirstScan   (Built-in Mathematica Symbol)
BreadthFirstScan[g, s, {"event_1" -> f_1, "event_2" -> f_2, ...}] performs a breadth-first scan (bfs) of the graph g starting at the vertex s and evaluates f_i whenever ...
ParametricPlot3D   (Built-in Mathematica Symbol)
ParametricPlot3D[{f_x, f_y, f_z}, {u, u_min, u_max}] produces a three-dimensional space curve parametrized by a variable u which runs from u_min to u_max. ...
Sum   (Built-in Mathematica Symbol)
Sum[f, {i, i_max}] evaluates the sum \[Sum]i = 1 i_max f. Sum[f, {i, i_min, i_max}] starts with i = i_min. Sum[f, {i, i_min, i_max, di}] uses steps d i. Sum[f, {i, {i_1, i_2, ...
Introduction to Control Objects   (Mathematica Tutorial)
Mathematica includes many controls and structures related to controls as part of its core language. These control objects are supported in a completely seamless way ...
Statistical Model Analysis   (Mathematica Tutorial)
When fitting models to data, it is often useful to analyze how well the model fits the data and how well the fitting meets the assumptions of the model. For a number of ...
Reference   (CUDALink Tutorial)
CUDALink allows Mathematica to use the CUDA parallel computing architecture on Graphical Processing Units (GPUs). It contains functions that use CUDA-enabled GPUs to boost ...
Calling Java from Mathematica   (JLink Tutorial)
J/Link provides Mathematica users with the ability to interact with arbitrary Java classes directly from Mathematica. You can create objects and call methods directly in the ...
ContourPlot   (Built-in Mathematica Symbol)
ContourPlot[f, {x, x_min, x_max}, {y, y_min, y_max}] generates a contour plot of f as a function of x and y. ContourPlot[f == g, {x, x_min, x_max}, {y, y_min, y_max}] plots ...
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