Consider the following linear program: \begin{equation} \begin{matrix} \displaystyle \min_{x_i} & \sum_{i=1}^{m} {c_i^Tx_i} \\ \textrm{s.t.} & \sum_{i=1}^{m} A_i x_i = b \\ & x_i \geq 0 & i=1,..,m \\ & x_i\leq d_i & i=1,...,m \\ \end{matrix} \end{equation} Let's reduce it to standard form: \begin{equation} \begin{matrix} \displaystyle \min_{x_i} & \sum_{i=1}^{m} {c_i^Tx_i} \\ \textrm{s.t.} & \sum_{i=1}^{m} A_i x_i = b \\ & x_i \geq 0 & i=1,..,m \\ & s_i \geq 0 & i=1,...,m \\ & x_i+s_i=d_i & i=1,...,m \\ \end{matrix} \end{equation} Where $s_i$, $i=1,...,m$ are the added slack variables.
Is it true that a basic feasible solution for the problem in standard form is a basic feasible solution for the problem in non standard form (just ignoring the values of the slack variables)?