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Erf   (Built-in Mathematica Symbol)
Erf[z] gives the error function erf(z). Erf[z_0, z_1] gives the generalized error function erf(z_1) - erf(z_0).
Nonlinear Second-Order ODEs   (Mathematica Tutorial)
The general form of a nonlinear second-order ODE is For simplicity, assume that the equation can be solved for the highest-order derivative y^ ′′(x) to give There are a few ...
FindDistributionParameters   (Built-in Mathematica Symbol)
FindDistributionParameters[data, dist] finds the parameter estimates for the distribution dist from data.FindDistributionParameters[data, dist, {{p, p_0}, {q, q_0}, ...}] ...
InverseFunction   (Built-in Mathematica Symbol)
InverseFunction[f] represents the inverse of the function f, defined so that InverseFunction[f][y] gives the value of x for which f[x] is equal to y. InverseFunction[f, n, ...
Diophantine Polynomial Systems   (Mathematica Tutorial)
A Diophantine polynomial system is an expression constructed with polynomial equations and inequalities combined using logical connectives and quantifiers where the variables ...
MinValue   (Built-in Mathematica Symbol)
MinValue[f, x] gives the minimum value of f with respect to x.MinValue[f, {x, y, ...}] gives the minimum value of f with respect to x, y, .... MinValue[{f, cons}, {x, y, ...
Constructing Lists   (Mathematica Guide)
Mathematica provides powerful functions for constructing lists of any size and structure.
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.
Maximize   (Built-in Mathematica Symbol)
Maximize[f, x] maximizes f with respect to x.Maximize[f, {x, y, ...}] maximizes f with respect to x, y, .... Maximize[{f, cons}, {x, y, ...}] maximizes f subject to the ...
Conditionals   (Mathematica Tutorial)
Mathematica provides various ways to set up conditionals, which specify that particular expressions should be evaluated only if certain conditions hold. Conditional ...
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