Assume now that we have a symmetric positive-definite matrix \hat{A} of size n\times n . At each iteration i+1 we obtain the conjugate direction of a vector \begin{equation*} \hat{x}_{i+1}=\hat{x}_{i}+\alpha_i\hat{p}_{i}. \end{equation*} We assume that \hat{p}_{i} is a sequence of n mutually conjugate directions. Then the \hat{p}_{i} form a basis of R^n and we can expand the solution $ \hat{A}\hat{x} = \hat{b}$ in this basis, namely \begin{equation*} \hat{x} = \sum^{n}_{i=1} \alpha_i \hat{p}_i. \end{equation*}