Tensors are mathematical objects that give generalizations of vectors and matrices. In Mathematica, a tensor is represented as a set of lists, nested to a certain number of ...
Mathematica supports dynamic hierarchical namespace management, fully integrated into the Mathematica language. Mathematica's symbolic programming paradigm allows a unique ...
ChebyshevT[n, x] gives the Chebyshev polynomial of the first kind T_n (x).
Accumulate[list] gives a list of the successive accumulated totals of elements in list.
This tutorial describes the principles behind Dynamic, DynamicModule, and related functions, and goes into detail about how they interact with each other and with the rest of ...
BesselJZero[n, k] represents the k\[Null]^th zero of the Bessel function J_n (x).BesselJZero[n, k, x_0] represents the k\[Null]^th zero greater than x_0.
JacobiP
(Built-in Mathematica Symbol) JacobiP[n, a, b, x] gives the Jacobi polynomial P_n^(a, b)(x).
InverseWeierstrassP[p, {g_2, g_3}] gives a value of u for which the Weierstrass function \[WeierstrassP] (u; g_2, g_3) is equal to p.
Mathematica's symbolic architecture allows it to represent any equation as a symbolic expression that can be manipulated using any of Mathematica's powerful collection of ...
ListDensityPlot[array] generates a smooth density plot from an array of values. ListDensityPlot[{{x_1, y_1, f_1}, {x_2, y_2, f_2}, ...}] generates a density plot with values ...