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 ...
The basic problem of the calculus of variations is to determine the function u(x) that extremizes a functional F=∫_SubscriptBox[x^StyleBox[min, FontSlant -> Italic], ...
Lighting is an option for Graphics3D and related functions that specifies what simulated lighting to use in coloring 3D surfaces.
OpenCLImplicitRender3D[poly, vars, r] ray traces the implicit surface poly = 0 as a function of vars with bound sphere of radius r.
Mathematica has many matrix operations that support operations such as building, computing, and visualizing matrices. It also has a rich language for picking out and ...
CUDAFunctionLoad[src, fun, argtypes, blockdim] loads CUDAFunction from scr and makes fun available in Mathematica.CUDAFunctionLoad[{srcfile}, fun, argtypes, blockdim] loads ...
StreamDensityPlot[{{v_x, v_y}, s}, {x, x_min, x_max}, {y, y_min, y_max}] generates a stream plot of the vector field {v_x, v_y} as a function of x and y, superimposed on a ...
NExpectation[expr, x \[Distributed] dist] gives the numerical expectation of expr under the assumption that x follows the probability distribution dist.NExpectation[expr, ...
SmoothHistogram[{x_1, x_2, ...}] plots a smooth kernel histogram of the values x_i.SmoothHistogram[{x_1, x_2, ...}, espec] plots a smooth kernel histogram with estimator ...
PointFigureChart[{{date_1, p_1}, {date_2, p_2}, ...}] makes a point and figure chart with prices p_i at date date_i.PointFigureChart[{" name", daterange}] makes a point and ...