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Summary of New Features in 7.0   (Mathematica Guide)
The introduction of Mathematica 6 in 2007 represented a revolutionary redefinition of Mathematica. Arriving only 18 months after Mathematica 6, Mathematica 7 represents ...
OrderDistribution   (Built-in Mathematica Symbol)
OrderDistribution[{dist, n}, k] represents the k\[Null]^th-order statistics distribution for n observations from the distribution dist.OrderDistribution[{dist, n}, {k_1, k_2, ...
ParallelEvaluate   (Built-in Mathematica Symbol)
ParallelEvaluate[expr] evaluates the expression expr on all available parallel kernels and returns the list of results obtained.ParallelEvaluate[expr, kernel] evaluates expr ...
BinomialDistribution   (Built-in Mathematica Symbol)
BinomialDistribution[n, p] represents a binomial distribution with n trials and success probability p.
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, ...
Equations and Inequalities over Domains   (Mathematica Tutorial)
Mathematica normally assumes that variables which appear in equations can stand for arbitrary complex numbers. But when you use Reduce, you can explicitly tell Mathematica ...
DateQ   (Calendar Package Symbol)
DateQ[{year, month, day}] yields True if date {year, month, day} is a valid date in the current calendar system, and yields False otherwise. DateQ[{year, month, day, hour, ...
EquationTrekker   (Equation Trekker Package Symbol)
EquationTrekker[eqn, x, {t, t_min, t_max}] opens a graphical interface for specifying initial conditions and plotting the resulting numerical solution to the first or second ...
Convolve   (Built-in Mathematica Symbol)
Convolve[f, g, x, y] gives the convolution with respect to x of the expressions f and g.Convolve[f, g, {x_1, x_2, ...}, {y_1, y_2, ...}] gives the multidimensional ...
Eigenvectors   (Built-in Mathematica Symbol)
Eigenvectors[m] gives a list of the eigenvectors of the square matrix m. Eigenvectors[{m, a}] gives the generalized eigenvectors of m with respect to a. Eigenvectors[m, k] ...
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