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CensoredDistribution   (Built-in Mathematica Symbol)
CensoredDistribution[{x_min, x_max}, dist] represents the distribution of values that come from dist and are censored to be between x_min and ...
Parallelize   (Built-in Mathematica Symbol)
Parallelize[expr] evaluates expr using automatic parallelization.
RootLocusPlot   (Built-in Mathematica Symbol)
RootLocusPlot[g, {k, k_min, k_max}] generates the root locus plot of a rational function g of k ranging from k_min to k_max.RootLocusPlot[sys, ...] plots the root loci of a ...
Advanced Manipulate Functionality   (Mathematica Tutorial)
This tutorial covers advanced features of the Manipulate command. It assumes that you have read "Introduction to Manipulate" and thus have a good idea what the command is for ...
Introduction to Control Objects   (Mathematica Tutorial)
Mathematica includes many controls and structures related to controls as part of its core language. These control objects are supported in a completely seamless way ...
Special Functions   (Mathematica Tutorial)
Mathematica includes all the common special functions of mathematical physics found in standard handbooks. Each of the various classes of functions is discussed in turn. One ...
NIntegrate Integration Strategies   (Mathematica Tutorial)
An integration strategy is an algorithm that attempts to compute integral estimates that satisfy user-specified precision or accuracy goals. An integration strategy normally ...
DSolve   (Built-in Mathematica Symbol)
DSolve[eqn, y, x] solves a differential equation for the function y, with independent variable x. DSolve[{eqn_1, eqn_2, ...}, {y_1, y_2, ...}, x] solves a list of ...
GeneralizedLinearModelFit   (Built-in Mathematica Symbol)
GeneralizedLinearModelFit[{y_1, y_2, ...}, {f_1, f_2, ...}, x] constructs a generalized linear model of the form g -1 (\[Beta]_0 + \[Beta]_1 f_1 + \[Beta]_2 f_2 + ...) that ...
NonlinearModelFit   (Built-in Mathematica Symbol)
NonlinearModelFit[{y_1, y_2, ...}, form, {\[Beta]_1, ...}, x] constructs a nonlinear model with structure form that fits the y_i for successive x values 1, 2, ... using the ...
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