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Logging MathLM   (Mathematica Tutorial)
You can enable logging in two ways. The log file records messages as they occur, building up a detailed record of license activity over a period of time. Logging supports ...
Numerical Methods for Solving the ...   (Mathematica Tutorial)
The Lotka–Volterra system arises in mathematical biology and models the growth of animal species. Consider two species where Y_1(T) denotes the number of predators and Y_2(T) ...
Nested Lists   (Mathematica Tutorial)
Ways to construct nested lists. This generates a table corresponding to a 2×3 nested list. This generates an array corresponding to the same nested list.
Here is one way to get multiple minima: call NMinimize multiple times with different random seeds, which will cause different optimization paths to be taken. This defines a ...
Redrawing and Combining Plots   (Mathematica Tutorial)
Mathematica saves information about every plot you produce, so that you can later redraw it. When you redraw plots, you can change some of the options you use. Functions for ...
Regular Expressions   (Mathematica Tutorial)
General Mathematica patterns provide a powerful way to do string manipulation. But particularly if you are familiar with specialized string manipulation languages, you may ...
Three-Dimensional Graphics Directives   (Mathematica Tutorial)
In three dimensions, just as in two dimensions, you can give various graphics directives to specify how the different elements in a graphics object should be rendered. All ...
Brent's Method   (Mathematica Tutorial)
When searching for a real simple root of a real valued function, it is possible to take advantage of the special geometry of the problem, where the function crosses the axis ...
CUDADot   (CUDALink Symbol)
CUDADot[vec 1, vec 2] gives the dot product of vec_1 and vec_2.CUDADot[mat, vec] gives the matrix-vector product of mat and vec.CUDADot[mat_1, mat_2] gives the matrix-matrix ...
CUDAImageDivide   (CUDALink Symbol)
CUDAImageDivide[img, x] divides each channel value in img by an amount x.CUDAImageDivide[mem, x] divides each channel value in mem by an amount x.CUDAImageDivide[img 1, img ...
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