MQL5 ReferenceMatrix and Vector MethodsMatrix Classification

Matrix Classification

The section describes a set of functions for analyzing the structural properties of matrices. These methods allow us to determine whether a matrix is symmetric, Hermitian, diagonal, triangular, trapezoidal, Hessenberg, bidiagonal, or scalar. Such a classification simplifies the selection of efficient algorithms for linear algebra and optimization of computations.

Function	Action
MatrixInfo	The method analyzes the matrix contents, determines its structural type (symmetric, Hermitian, triangular, banded, and so on), and fills the MqlMatrixInfo structure
IsSymmetric	Check if a square matrix is symmetric
IsHermitian	Check if a square complex matrix is Hermitian
IsUpperTriangular	Check if a square matrix is upper triangular
IsLowerTriangular	Check if a square matrix is lower triangular
IsUpperTrapezoidal	Check if a rectangular (not square) m-by-n matrix is upper trapezoidal
IsLowerTrapezoidal	Check if a rectangular (not square) m-by-n matrix is lower trapezoidal
IsUpperHessenberg	Check if a square matrix is upper Hessenberg matrix
IsLowerHessenberg	Check if a square matrix is lower Hessenberg matrix
IsTridiagonal	Check if a square matrix is tridiagonal
IsUpperBidiagonal	Check if a square matrix is upper bidiagonal
IsLowerBidiagonal	Check if a square matrix is lower bidiagonal
IsDiagonal	Check if a square matrix is diagonal
IsScalar	Check if a square matrix is scalar matrix

Spectrum

MatrixInfo