LyapunovSolve[a, c] finds a solution x of the matrix Lyapunov equation a.x + x.a\[ConjugateTranspose] == c.LyapunovSolve[a, b, c] solves a.x + x.b == c.LyapunovSolve[{a, d}, ...
MardiaCombinedTest[data] tests whether data follows a MultinormalDistribution using the Mardia combined test.MardiaCombinedTest[data, " property"] returns the value of " ...
MatrixPower[m, n] gives the n\[Null]\[Null]^th matrix power of the matrix m. MatrixPower[m, n, v] gives the n\[Null]^th matrix power of the matrix m applied to the vector v.
MaxValue[f, x] gives the maximum value of f with respect to x.MaxValue[f, {x, y, ...}] gives the maximum value of f with respect to x, y, .... MaxValue[{f, cons}, {x, y, ...
MaxwellDistribution[\[Sigma]] represents a Maxwell distribution with scale parameter \[Sigma].
MeijerG
(Built-in Mathematica Symbol) MeijerG[{{a_1, ..., a_n}, {a n + 1, ..., a_p}}, {{b_1, ..., b_m}, {b m + 1, ..., b_q}}, z] is the Meijer G function G_p q^m n(z \[VerticalSeparator] {{a_1, ..., a_p}, {b_1, ...
MenuView[{lbl_1 -> expr_1, lbl_2 -> expr_2, ...}] represents an object in which selecting the menu item with label lbl_i displays expr_i. MenuView[{lbl_1 -> expr_1, lbl_2 -> ...
Minors
(Built-in Mathematica Symbol) Minors[m] gives the minors of a matrix m. Minors[m, k] gives the k\[Null]\[Null]^th minors.
MoyalDistribution[\[Mu], \[Sigma]] represents a Moyal distribution with location parameter \[Mu] and scale parameter \[Sigma].
MultinomialDistribution[n, {p_1, p_2, ..., p_m}] represents a multinomial distribution with n trials and probabilities p_i.