Evaluating integrals is much more difficult than evaluating derivatives. For derivatives, there is a systematic procedure based on the chain rule that effectively allows any ...
All textual and graphical forms in Mathematica are ultimately represented in terms of nested collections of boxes. Typically the elements of these boxes correspond to objects ...
"Gauss–Newton" and "conjugate gradient" methods use derivatives. When Mathematica cannot compute symbolic derivatives, finite differences will be used. Computing derivatives ...
This package contains functions for computing confidence intervals from data and p-values and confidence intervals for distributions related to the normal distribution. Given ...
Minimize[f, x] minimizes f with respect to x.Minimize[f, {x, y, ...}] minimizes f with respect to x, y, .... Minimize[{f, cons}, {x, y, ...}] minimizes f subject to the ...
LayeredGraphPlot attempts to draw the vertices of a graph in a series of layers, placing dominant vertices at the top, and vertices lower in the hierarchy progressively ...
TreePlot lays out the vertices of a graph in a tree of successive layers, or a collection of trees. If the graph g is not a tree, TreePlot lays out its vertices on the basis ...
RectangleChart[{{x_1, y_1}, {x_2, y_2}, ...}] makes a rectangle chart with bars of width x_i and height y_i. RectangleChart[{..., w_i[{x_i, y_i}, ...], ..., w_j[{x_i, y_j}, ...
Code generation from Mathematica involves converting programs written in the Mathematica language into other languages and then supporting them so that they can be executed. ...
GUIKit definitions are defined as a hierarchy of widgets, whether they are defined in the Mathematica expression format or in the XML format, GUIKitXML. A single ...