Forward error ($\hat{x}-x_{\ast }$)

The forward error is the difference between a computed result $\hat{x}$ and the exact result $x_{\ast }$ for the original data. Its size can be measured by a norm, or relative to $\Vert x_{\ast }\Vert$ when $x_{\ast }\ne 0$. A linear-system residual measures the equation imbalance instead; the condition number relates that imbalance to the forward error.