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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 ...
BattleLemarieWavelet   (Built-in Mathematica Symbol)
BattleLemarieWavelet[] represents the Battle-Lemarié wavelet of order 3.BattleLemarieWavelet[n] represents the Battle-Lemarié wavelet of order n evaluated on equally spaced ...
FixedPoint   (Built-in Mathematica Symbol)
FixedPoint[f, expr] starts with expr, then applies f repeatedly until the result no longer changes.
PDF   (Mathematica Import/Export Format)
MIME type: application/pdf Adobe Acrobat format. Standard format for exchanging and archiving multi-page documents. PDF is an acronym for Portable Document Format. Binary ...
Nonlinear IVPs and BVPs   (Mathematica Tutorial)
Many real-world applications require the solution of IVPs and BVPs for nonlinear ODEs. For example, consider the logistic equation, which occurs in population dynamics. This ...
Generalized Input   (Mathematica Tutorial)
The fundamental paradigm of most computer languages, including Mathematica, is that input is given and processed into output. Historically, such input has consisted of ...
Launching and Connecting   (Parallel Package Tutorial)
Mathematica can run parallel kernels in a number of different ways; locally on the same machine or remote on other machines connected in a network. Furthermore, the network ...
NMinimize, NMaximize, Minimize, and Maximize employ global optimization algorithms, and are thus suitable when a global optimum is needed. Minimize and Maximize can find ...
Benchmarking Package   (Benchmarking Package Tutorial)
This package contains functions for measuring the performance of Mathematica on your computer and for producing a comparison report that includes benchmark results for other ...
LegendreP   (Built-in Mathematica Symbol)
LegendreP[n, x] gives the Legendre polynomial P_n (x). LegendreP[n, m, x] gives the associated Legendre polynomial P_n^m(x).
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