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CUDAImageConvolve   (CUDALink Symbol)
CUDAImageConvolve[img, kern] gives the convolution of img with kern.CUDAImageConvolve[list, kern] gives the convolution of list with kern.CUDAImageConvolve[mem, kern] gives ...
Plotting the Solution   (Mathematica Tutorial)
A plot of the solution given by DSolve can give useful information about the nature of the solution, for instance, whether it is oscillatory in nature. It can also serve as a ...
Notebook Security   (Mathematica Tutorial)
Mathematica provides users with access to their computer's file system (Files), interprocess communication (MathLink Mathematica Functions), evaluation of data as code ...
Vectors and Matrices   (Mathematica Tutorial)
Vectors and matrices in Mathematica are simply represented by lists and by lists of lists, respectively. The representation of vectors and matrices by lists. This is a 2×2 ...
Running CUDALink in Headless Mode   (CUDALink Tutorial)
In some cases, such as in a cluster environment, the machine may be run in headless mode, that is, not starting the GUI server (such as X). The operating system may ...
NonlinearRegression`   (Mathematica Compatibility Information)
NonlinearRegress functionality is now available using the built-in function NonlinearModelFit.
C   (Mathematica Import/Export Format)
C programming language. General purpose implementation language for computer systems and applications. Developed at Bell Telephone Laboratories in 1972.
Assert   (Built-in Mathematica Symbol)
Assert[test] represents the assertion that test is True. If assertions have been enabled, test is evaluated when the assertion is encountered. If test is not True, then an ...
CCodeGenerate   (C Code Generator Package Symbol)
CCodeGenerate[cfun, name, opts] generates C code from the compiled function cfun using the name as the exported function name, and saves in the file ...
D   (Built-in Mathematica Symbol)
D[f, x] gives the partial derivative \[PartialD]f/\[PartialD]x. D[f, {x, n}] gives the multiple derivative \[PartialD]^n f/\[PartialD]x^n. D[f, x, y, ...] differentiates f ...
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