Create a User Interface Using .NET/Link (NETLink How To)

.NET/Link lets you write sophisticated user interfaces by calling .NET types directly from Mathematica. Doing so allows you to evaluate code as you add it, either one or ...

Variational Methods (Variational Methods Package Tutorial)

The basic problem of the calculus of variations is to determine the function u(x) that extremizes a functional F=∫_SubscriptBox[x^StyleBox[min, FontSlant -> Italic], ...

ListPolarPlot (Built-in Mathematica Symbol)

ListPolarPlot[{r_1, r_2, ...}] plots points equally spaced in angle at radii r_i.ListPolarPlot[{{\[Theta]_1, r_1}, {\[Theta]_2, r_2}, ...}] plots points at polar coordinates ...

NExpectation (Built-in Mathematica Symbol)

NExpectation[expr, x \[Distributed] dist] gives the numerical expectation of expr under the assumption that x follows the probability distribution dist.NExpectation[expr, ...

TransferFunctionModel (Built-in Mathematica Symbol)

TransferFunctionModel[m, var] represents the model of the transfer-function matrix m with complex variable var.TransferFunctionModel[{num, den}, var] specifies the numerator ...

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 ...

CUDALink on Multiple Devices (CUDALink Tutorial)

The functional and list-oriented characteristics of the core Mathematica language allow CUDALink to provide immediate built-in data parallelism, automatically distributing ...

Multivariate Statistics Package (Multivariate Statistics Package Tutorial)

This package contains descriptive statistics for multivariate data and distributions derived from the multivariate normal distribution. Distributions are represented in the ...

Formatted Output (Mathematica Tutorial)

Ever since Version 3 of Mathematica, there has been rich support for arbitrary mathematical typesetting and layout. Underlying all that power was a so-called box language, ...

LinearModelFit (Built-in Mathematica Symbol)

LinearModelFit[{y_1, y_2, ...}, {f_1, f_2, ...}, x] constructs a linear model of the form \[Beta]_0 + \[Beta]_1 f_1 + \[Beta]_2 f_2 + ... that fits the y_i for successive x ...