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Creating Tables with Raw SQL   (DatabaseLink Tutorial)
The raw SQL command CREATE TABLE creates tables in a database. An alternative is to use the Mathematica command SQLCreateTable, described in "Creating Tables". If you find ...
TetGenImport   (TetGenLink Symbol)
TetGenImport["file.ext", expr] imports data from a file into a TetGen expression. TetGenImport["file", expr, "format"] imports data in the specified format.
DiscreteRatio   (Built-in Mathematica Symbol)
DiscreteRatio[f, i] gives the discrete ratio f(i + 1)/f(i).DiscreteRatio[f, {i, n}] gives the multiple discrete ratio.DiscreteRatio[f, {i, n, h}] gives the multiple discrete ...
WaveletExplorer   (Mathematica Compatibility Information)
As of Mathematica 8, the functionality of the Wavelet Explorer add-on has been integrated into the Mathematica kernel.
Table Structure   (DatabaseLink Tutorial)
This section discusses commands that get information about database tables. If you find that the examples in this section do not work as shown, you may need to install or ...
Executing GUIs   (GUIKit Package Tutorial)
One of the most basic features of GUIKit is loading and executing an existing user interface application. This can be accomplished in one step in either a modal or modeless ...
Advanced Matrix Operations   (Mathematica Tutorial)
Finding singular values and norms of matrices. The singular values of a matrix m are the square roots of the eigenvalues of m.m^*, where * denotes Hermitian transpose. The ...
Specific Compilers   (C Compiler Driver Package Tutorial)
The CCompilerDriver package lets you work with C compilers that are installed on your computer. It lets you build executables, libraries, and object files from C source code. ...
WolframAlpha   (Built-in Mathematica Symbol)
WolframAlpha["query"] sends query to Wolfram|Alpha and imports the output.WolframAlpha["query", format] imports the output according to the specified format.
Parallel Computation   (Compiled Function Tools Tutorial)
The Mathematica compiler can run computations in parallel. It does this by threading a compiled function over lists of data in parallel. A first step is to create a compiled ...
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