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RSolve   (Built-in Mathematica Symbol)
RSolve[eqn, a[n], n] solves a recurrence equation for a[n]. RSolve[{eqn_1, eqn_2, ...}, {a_1[n], a_2[n], ...}, n] solves a system of recurrence equations. RSolve[eqn, a[n_1, ...
OpenCLLink   (OpenCLLink Guide)
OpenCLLink allows Mathematica to use the OpenCL parallel computing language. It contains functions that facilitate loading user-defined OpenCL functions into Mathematica. ...
The Main Loop   (Mathematica Tutorial)
In any interactive session, Mathematica effectively operates in a loop. It waits for your input, processes the input, prints the result, then goes back to waiting for input ...
Controlling Infinite Evaluation   (Mathematica Tutorial)
The general principle that Mathematica follows in evaluating expressions is to go on applying transformation rules until the expressions no longer change. This means, for ...
Search for Help   (Mathematica How To)
You can search for Mathematica help from within Mathematica or on the Wolfram Research websites. The complete documentation is available in every copy of Mathematica as well ...
Solve Delay Differential Equations   (Mathematica How To)
You can use the standard differential equation solving function, NDSolve , to numerically solve delay differential equations with constant delays. It returns an interpolation ...
Product   (Built-in Mathematica Symbol)
Product[f, {i, i_max}] evaluates the product \[Product]i = 1 i_max f. Product[f, {i, i_min, i_max}] starts with i = i_min. Product[f, {i, i_min, i_max, di}] uses steps di. ...
Fourier Series Package   (Fourier Series Package Tutorial)
The Mathematica kernel provides the functions FourierTransform and InverseFourierTransform for computing the symbolic Fourier exponential transform and inverse transform. It ...
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], ...
Mean   (Built-in Mathematica Symbol)
Mean[list] gives the statistical mean of the elements in list. Mean[dist] gives the mean of the symbolic distribution dist.
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