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CUDAClosing   (CUDALink Symbol)
CUDAClosing[img, r] gives the closing of img with respect to a range-r square.CUDAClosing[list, r] gives the closing of list with respect to a range-r square.CUDAClosing[mem, ...
Numerical Examples   (Library Link Tutorial)
The functions accessible with Wolfram LibraryLink make it possible to optimize numerical computations while still keeping the flexibility and generality of Mathematica. If ...
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 ...
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 ...
Image   (Built-in Mathematica Symbol)
Image[data] represents a raster image with pixel values given by the array data.Image[graphics] creates a raster image from a graphics object. Image[obj, options] gives an ...
ViewPoint   (Built-in Mathematica Symbol)
ViewPoint is an option for Graphics3D and related functions which gives the point in space from which three-dimensional objects are to be viewed.
WignerD   (Built-in Mathematica Symbol)
WignerD[{j, m_1, m_2}, \[Psi], \[Theta], \[Phi]] gives the Wigner D-function D_m_1^m_2, j(\[Psi], \[Theta], \[Phi]).WignerD[{j, m_1, m_2}, \[Theta], \[Phi]] gives the Wigner ...
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 ...
Projection Method for NDSolve   (Mathematica Tutorial)
When a differential system has a certain structure, it is advantageous if a numerical integration method preserves the structure. In certain situations it is useful to solve ...
Introduction to Step Control   (Mathematica Tutorial)
Even with "Newton methods" where the local model is based on the actual Hessian, unless you are close to a root or minimum, the model step may not bring you any closer to the ...
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