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WeightedAdjacencyGraph   (Built-in Mathematica Symbol)
WeightedAdjacencyGraph[wmat] gives the graph with weighted adjacency matrix wmat.WeightedAdjacencyGraph[{v_1, v_2, ...}, wmat] gives the graph with vertices v_i and weighted ...
$MachineEpsilon   (Built-in Mathematica Symbol)
$MachineEpsilon gives the difference between 1.0 and the next-nearest number representable as a machine-precision number.
Nonlinear IVPs and BVPs   (Mathematica Tutorial)
Many real-world applications require the solution of IVPs and BVPs for nonlinear ODEs. For example, consider the logistic equation, which occurs in population dynamics. This ...
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 ...
LocallyExact Method for NDSolve   (Mathematica Tutorial)
A differential system can sometimes be solved by analytic means. The function DSolve implements many of the known algorithmic techniques. However, differential systems that ...
CUDAFunction   (CUDALink Symbol)
CUDAFunction[args] represents a function loaded using CUDAFunctionLoad.
Deleting Data   (DatabaseLink Tutorial)
SQLDelete deletes data from a database. An alternative, using raw SQL, is described in "Deleting Data with Raw SQL". If you find that the examples in this tutorial do not ...
Application Structure   (TetGenLink Tutorial)
TetGenLink is a Mathematica application that makes the functions of TetGen available to Mathematica. This is done with Wolfram LibraryLink, which allows TetGen to be used in ...
PieChart3D   (Built-in Mathematica Symbol)
PieChart3D[{y_1, y_2, ...}] makes a 3D pie chart with sector angle proportional to y_1, y_2, ....PieChart3D[{..., w_i[y_i, ...], ..., w_j[y_j, ...], ...}] makes a 3D pie ...
Numerical Nonlinear Local Optimization   (Mathematica Tutorial)
Numerical algorithms for constrained nonlinear optimization can be broadly categorized into gradient-based methods and direct search methods. Gradient search methods use ...
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