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Exact Global Optimization   (Mathematica Tutorial)
Exact global optimization problems can be solved exactly using Minimize and Maximize. This computes the radius of the circle, centered at the origin, circumscribed about the ...
WizardFrame   (GUIKit Package)
Widget["WizardFrame"] represents the frame inside which a wizard is displayed.
Get Results for Fitted Models   (Mathematica How To)
When fitting data to a model, it is often important to obtain additional results to compare the data to the fitted function. You may wish to check the significance of ...
MOL2   (Mathematica Import/Export Format)
MIME type: chemical/x-mol2 Tripos MOL2 molecule model files. Used in cheminformatics applications and on the web for storing and exchanging 3D molecule models. Native format ...
MOL   (Mathematica Import/Export Format)
MIME type: chemical/x-mdl-molfile MDL molecule model files. Used in cheminformatics applications and on the web for storing and exchanging 3D molecule models. Plain text ...
Animator   (Built-in Mathematica Symbol)
Animator[u] represents an object that displays with the value of u being continually increased from 0 to 1 with time. Animator[u, {u_min, u_max}] makes u vary from u_min to ...
PopupView   (Built-in Mathematica Symbol)
PopupView[{expr_1, expr_2, ...}] represents an object which displays as a popup menu whose items are the expr_i.PopupView[{expr_1, expr_2, ...}, i] makes the i\[Null]^th ...
SmoothHistogram   (Built-in Mathematica Symbol)
SmoothHistogram[{x_1, x_2, ...}] plots a smooth kernel histogram of the values x_i.SmoothHistogram[{x_1, x_2, ...}, espec] plots a smooth kernel histogram with estimator ...
DendrogramPlot   (Hierarchical Clustering Package Symbol)
DendrogramPlot[list] constructs a dendrogram from the hierarchical clustering of list.DendrogramPlot[c] constructs a dendrogram from the Cluster object c.
ImageHistogram   (Built-in Mathematica Symbol)
ImageHistogram[image] plots a histogram of the pixel levels for each channel in image.ImageHistogram[image, n] uses n levels for each channel.ImageHistogram[image, n, {min, ...
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