Question: section * { Solution } The constraints enforce an increasing order: [ 0 leq x _ 1 leq x _ 2

\section*{Solution}
The constraints enforce an increasing order:
\[
0\leq x_1\leq x_2\leq \dots \leq x_n \leq 1.
\]
To minimize \( c^T x \), we should assign the smallest possible values to \( x_j \), following the constraint order.
- If \( c_1\leq c_2\leq \dots \leq c_n \), the best choice is \( x_1=0\) and \( x_n =1\), with intermediate values adjusting based on feasibility.
- If \( c_1\geq c_2\geq \dots \geq c_n \), then the best choice is setting all \( x_j =0\).
- Otherwise, the best strategy is setting \( x_1=0\) and then increasing values gradually, ensuring the constraint holds.
A guaranteed optimal solution is:
\[
x_j^*=
\begin{cases}
0, & \text{if } c_j \text{ is among the largest values},\\
1, & \text{if } c_j \text{ is among the smallest values},\\
\text{any increasing sequence}, & \text{if there are ties}.
\end{cases}
\]
The optimal value is:
\[
c^T x^*=\sum_{j=1}^{n} c_j x_j^*.
\]

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