Matrix norm	Matrix measure
${\Vert A\Vert }_1={\text{max}}_j{\sum }_{i=1}^n|a_{ij}|$	${\mathit{\mu }}_1(A)={\text{max}}_j\left\{a_{jj}+{\sum }_{i=1,i\ne j}^n|a_{ij}|\right\}$
${\Vert A\Vert }_2=\sqrt{{\mathit{\lambda }}_{\text{max}}(A^{T}A)}$	${\mathit{\mu }}_2(A)=\frac{1}{2}{\mathit{\lambda }}_{\text{max}}(A^T+A)$
${\Vert A\Vert }_{\infty }={\text{max}}_i{\sum }_{j=1}^n|a_{ij}|$	${\mathit{\mu }}_{\infty }(A)={\text{max}}_i\left\{a_{ii}+{\sum }_{j=1,j\ne i}^n|a_{ij}|\right\}$
${\Vert A\Vert }_{\mathit{\omega }}={\text{max}}_j{\sum }_{i=1}^n\frac{{\mathit{\omega }}_i}{{\mathit{\omega }}_j}|a_{ij}|$	${\mathit{\mu }}_{\mathit{\omega }}(A)={\text{max}}_j\left\{a_{jj}+{\sum }_{i=1,i\ne j}^n\frac{{\mathit{\omega }}_i}{{\mathit{\omega }}_j}|a_{ij}|\right\}$