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Grids, Rows, and Columns in Mathematica   (Mathematica Tutorial)
Mathematica provides a broad range of powerful constructs for laying out content on a screen or page. They are designed to be immediately useful for the beginner, yet also ...
Database Connections   (DatabaseLink Tutorial)
The first step in using a database is making a connection. This part of the tutorial discusses how to do this. If you are just starting to use DatabaseLink, you might want to ...
SmoothKernelDistribution   (Built-in Mathematica Symbol)
SmoothKernelDistribution[{x_1, x_2, ...}] represents a smooth kernel distribution based on the data values x_i.SmoothKernelDistribution[{{x_1, y_1, ...}, {x_2, y_2, ...}, ...
TraditionalForm Reference Information   (Mathematica Tutorial)
TraditionalForm differs from StandardForm, the default format for input and output. It is important to understand that TraditionalForm expressions cannot always be provided ...
Newton's Method   (Mathematica Tutorial)
One significant advantage Mathematica provides is that it can symbolically compute derivatives. This means that when you specify Method->"Newton" and the function is ...
GUIKit Example: ActionApp   (GUIKit Package Tutorial)
This example illustrates how to take advantage of Widget["Action"] objects and easily connect and construct typical user interface elements, such as menu items, toolbars, ...
EquationTrekker Package   (Equation Trekker Package Tutorial)
This package provides an interactive tool for investigating the solutions of differential equations as well as other types of equations that have solutions that can be viewed ...
NLimit   (Numerical Calculus Package Symbol)
NLimit[expr, z -> z_0] numerically finds the limiting value of expr as z approaches z_0.
BetaDistribution   (Built-in Mathematica Symbol)
BetaDistribution[\[Alpha], \[Beta]] represents a continuous beta distribution with shape parameters \[Alpha] and \[Beta].
InverseGammaDistribution   (Built-in Mathematica Symbol)
InverseGammaDistribution[\[Alpha], \[Beta]] represents an inverse gamma distribution with shape parameter \[Alpha] and scale parameter ...
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