901 - 910 of 8576 for Descartes rule of signsSearch Results
View search results from all Wolfram sites (350121 matches)
Contexts   (Mathematica Tutorial)
It is always a good idea to give variables and functions names that are as explicit as possible. Sometimes, however, such names may get inconveniently long. In Mathematica, ...
Module   (Built-in Mathematica Symbol)
Module[{x, y, ...}, expr] specifies that occurrences of the symbols x, y, ... in expr should be treated as local. Module[{x = x_0, ...}, expr] defines initial values for x, ...
MomentConvert   (Built-in Mathematica Symbol)
MomentConvert[mexpr, form] converts the moment expression mexpr to the specified form.
Rigid Body Solvers   (Mathematica Tutorial)
The equations of motion for a free rigid body whose center of mass is at the origin are given by the following Euler equations (see [MR99]). Two quadratic first integrals of ...
Drawing Tools   (Mathematica Tutorial)
Type Ctrl+DynamicBox[If[$OperatingSystem === MacOSX, T, D], ImageSizeCache -> {9., {0., 8.}}] or choose Graphics > Drawing Tools. For more information on each tool, click the ...
Processing Textual Data   (Mathematica Guide)
Mathematica has uniquely flexible capabilities for processing large volumes of textual data. Most often data represented as a string is converted to lists or other constructs ...
ContinuousWaveletData   (Built-in Mathematica Symbol)
ContinuousWaveletData[{{oct_1, voc_1} -> coef_1, ...}, wave] yields a continuous wavelet data object with wavelet coefficients coef_i corresponding to octave and voice ...
TTest   (Built-in Mathematica Symbol)
TTest[data] tests whether the mean of data is zero. TTest[{data_1, data_2}] tests whether the means of data_1 and data_2 are equal.TTest[dspec, \[Mu]_0] tests the mean ...
Low-Level Interface Control   (Mathematica Guide)
The core of Mathematica's unique power for building interfaces is in its extremely flexible high-level symbolic paradigm. But Mathematica also allows you to build interfaces ...
MannWhitneyTest   (Built-in Mathematica Symbol)
MannWhitneyTest[{data_1, data_2}] tests whether the medians of data_1 and data_2 are equal.MannWhitneyTest[dspec, \[Mu]_0] tests the median difference against ...
1 ... 88|89|90|91|92|93|94 ... 858 Previous Next

...