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Maximize   (Built-in Mathematica Symbol)
Maximize[f, x] maximizes f with respect to x.Maximize[f, {x, y, ...}] maximizes f with respect to x, y, .... Maximize[{f, cons}, {x, y, ...}] maximizes f subject to the ...
SlideView   (Built-in Mathematica Symbol)
SlideView[{expr_1, expr_2, ...}] represents an object in which the expr_i are set up to be displayed on successive slides. SlideView[{expr_1, expr_2, ...}, i] makes the ...
Arbitrary-Precision Numbers   (Mathematica Tutorial)
When you do calculations with arbitrary-precision numbers, Mathematica keeps track of precision at all points. In general, Mathematica tries to give you results which have ...
Cellular Automata   (Mathematica Tutorial)
Cellular automata provide a convenient way to represent many kinds of systems in which the values of cells in an array are updated in discrete steps according to a local ...
Nonlinear PDEs   (Mathematica Tutorial)
The general first-order nonlinear PDE for an unknown function u(x,y) is given by Here F is a function of uu(x,y), p ( ∂u(x,y) ) / ( ∂x ) , and q ( ∂u(x,y) ) / ( ∂y ) . The ...
Linear Systems of ODEs   (Mathematica Tutorial)
Here is a system of two ODEs whose coefficient matrix has real and distinct eigenvalues. This solves the system. Note that the general solution depends on two arbitrary ...
MathLink Development in C (Windows)   (Mathematica Tutorial)
This document describes how to compile and run MathLink programs written in the C language on computers running a Microsoft Windows operating system. ("MathLink and External ...
Reading Textual Data   (Mathematica Tutorial)
With <<, you can read files that contain Mathematica expressions given in input form. Sometimes, however, you may instead need to read files of data in other formats. For ...
Tensors   (Mathematica Tutorial)
Tensors are mathematical objects that give generalizations of vectors and matrices. In Mathematica, a tensor is represented as a set of lists, nested to a certain number of ...
Gauss–Newton Methods   (Mathematica Tutorial)
For minimization problems for which the objective function is a sum of squares, it is often advantageous to use the special structure of the problem. Time and effort can be ...
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