DistributionFitTest[data] tests whether data is normally distributed. DistributionFitTest[data, dist] tests whether data is distributed according to dist. ...
Introduction Methods for Local Minimization Methods for Solving Nonlinear Equations
Long used in its simplest form in mathematics, functional iteration is an elegant way to represent repeated operations. Mathematica's symbolic architecture makes powerful ...
Of particular importance in handling high-throughput programmatic graphics are Mathematica's sophisticated mechanisms for controlling graphics size and shape—allowing ...
JacobiDN[u, m] gives the Jacobi elliptic function dn(u | m).
GaussianQuadratureWeights[n, a, b] gives a list of the n pairs {x_i, w_i} of the elementary n-point Gaussian formula for quadrature on the interval a to b, where w_i is the ...
Mathematica's symbolic architecture and sophisticated mathematical capabilities allow it to take a uniquely high-level approach to geometric transformations—supporting ...
FactorSquareFree[poly] pulls out any multiple factors in a polynomial.
JacobiCN[u, m] gives the Jacobi elliptic function cn(u | m).
GaussianQuadratureError[n, f, a, b] gives the leading term in the error of the elementary n-point Gaussian quadrature formula for the function f on an interval from a to ...