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.
MatrixQ
(Built-in Mathematica Symbol) MatrixQ[expr] gives True if expr is a list of lists or a two-dimensional SparseArray object that can represent a matrix, and gives False otherwise. MatrixQ[expr, test] gives ...
MatrixRank[m] gives the rank of the matrix m.
MaxDetect[image] gives a binary image in which white pixels correspond to constant extended maxima in image.MaxDetect[image, h] finds extended maxima where the range of ...
MaxExtraBandwidths is an option to SmoothKernelDistribution that controls the behavior outside that data range.
MaxExtraConditions is an option to Solve and related functions that specifies how many extra equational conditions on continuous parameters to allow in solutions that are ...
MaxFilter[image, r] filters image by replacing every value by the maximum in its range r neighborhood. MaxFilter[data, r] applies max filtering to an array of data.
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 ...
MaxIterations is an option that specifies the maximum number of iterations that should be tried in various built-in functions and algorithms.
MaxMixtureKernels is an option for SmoothKernelDistribution and related functions that specifies the maximum number and location of kernel functions to use in the estimation.