FullSimplify (Built-in Mathematica Symbol)

FullSimplify[expr] tries a wide range of transformations on expr involving elementary and special functions, and returns the simplest form it finds. FullSimplify[expr, assum] ...

Partition (Built-in Mathematica Symbol)

Partition[list, n] partitions list into non-overlapping sublists of length n. Partition[list, n, d] generates sublists with offset d. Partition[list, {n_1, n_2, ...}] ...

SystemsModelSeriesConnect (Built-in Mathematica Symbol)

SystemsModelSeriesConnect[sys_1, sys_2] connects TransferFunctionModel or StateSpaceModel objects sys_1 and sys_2 in series. SystemsModelSeriesConnect[sys_1, sys_2, {y, u}] ...

WaveletMapIndexed (Built-in Mathematica Symbol)

WaveletMapIndexed[f, wd] applies the function f to the arrays of coefficients and indices of a ContinuousWaveletData or DiscreteWaveletData object.WaveletMapIndexed[f, dwd, ...

Continuous Distributions (Mathematica Tutorial)

The functions described here are among the most commonly used continuous univariate statistical distributions. You can compute their densities, means, variances, and other ...

Creating Dialog Boxes (Mathematica Tutorial)

In Mathematica, dialog boxes are customized notebooks used to provide users with information and/or request user input. There are two properties associated with dialogs. ...

Equations and Inequalities over Domains (Mathematica Tutorial)

Mathematica normally assumes that variables which appear in equations can stand for arbitrary complex numbers. But when you use Reduce, you can explicitly tell Mathematica ...

MathLink Development in C (Linux) (Mathematica Tutorial)

This document describes how to compile and run MathLink programs written in the C language on Linux systems. ("MathLink and External Program Communication" describes how to ...

Components and Data Structures (Mathematica Tutorial)

NDSolve is broken up into several basic steps. For advanced usage, it can sometimes be advantageous to access components to carry out each of these steps separately. NDSolve ...

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 ...