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ChebyshevU   (Built-in Mathematica Symbol)
ChebyshevU[n, x] gives the Chebyshev polynomial of the second kind U_n (x).
Method   (Built-in Mathematica Symbol)
Method is an option for various algorithm-intensive functions that specifies what internal methods they should use.
NumericFunction   (Built-in Mathematica Symbol)
NumericFunction is an attribute that can be assigned to a symbol f to indicate that f[arg_1, arg_2, ...] should be considered a numeric quantity whenever all the arg_i are ...
Generalized Functions and Related ...   (Mathematica Tutorial)
In many practical situations it is convenient to consider limits in which a fixed amount of something is concentrated into an infinitesimal region. Ordinary mathematical ...
Monitoring and Selecting Algorithms   (Mathematica Tutorial)
Functions in Mathematica are carefully set up so that you normally do not have to know how they work inside. But particularly for numerical functions that use iterative ...
Operations on Power Series   (Mathematica Tutorial)
Mathematica allows you to perform many operations on power series. In all cases, Mathematica gives results only to as many terms as can be justified from the accuracy of your ...
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], ...
Termination Conditions   (Mathematica Tutorial)
Mathematically, sufficient conditions for a local minimum of a smooth function are quite straightforward: x^* is a local minimum if ∇f(x^*)=0 and the Hessian ∇^2f(x^*) is ...
IDA Method for NDSolve   (Mathematica Tutorial)
The IDA package is part of the SUNDIALS (SUite of Nonlinear and DIfferential/ALgebraic equation Solvers) developed at the Center for Applied Scientific Computing of Lawrence ...
Newton's Method   (Mathematica Tutorial)
One significant advantage Mathematica provides is that it can symbolically compute derivatives. This means that when you specify Method->"Newton" and the function is ...
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