**balance**

Returns a matrix with rows and columns of roughly equal magnitude.**chol**

Cholesky decomposition.**cond**

Compute the condition number of a matrix.**conj**

Return the complex conjugate.**conv**

Convolution of two vectors.**conv2**

Compute 2D convolution.**cross**

Vector cross product.**det**

Compute the matrix determinant.**dot**

Vector dot product.**eig**

Eigen decomposition.**full**

Creates a fully populated matrix from sparse.**inv**

Compute the inverse matrix.**ishermitian**

Hermitian matrix test.**issparse**

Determines if an input is a matrix with sparse storage.**issquare**

Determines if`x`is a square matrix.**issymmetric**

Symmetric matrix test.**kron**

Kronecker matrix product.**linsolve**

Solve a linear system of equations.**lu**

LU decomposition.**nnz**

Finds the number of non-zero values in a matrix.**norm**

Compute matrix and vector norms.**pinv**

Compute the matrix pseudo-inverse.**qr**

QR decomposition.**rank**

Compute the rank of matrix`A`.**rcond**

Compute the 1-norm estimate of the reciprocal condition number.**schur**

Schur decomposition.**sparse**

Sparse matrix creation.**speye**

Sparse identity matrix creation.**spones**

Set non-zero matrix elements to 1.**svd**

Singular value decomposition.**trace**

Compute the trace of a matrix, the sum of the diagonal elements.**transpose**

Matrix transpose.**tril**

Returns a lower triangular matrix.**triu**

Returns a upper triangular matrix.