Use the simplex method to solve the following minimum problem on your own paper. Then, using your final tableau, enter the answer in each relevant box provided below. Minimize: \( C=x_{1}+2 x_{2} \) Subject to the following constraints: \( x_{1}+x_{2} \geq 6 \) \( 2 x_{1}+4 x_{2} \geq 12 \) \( x_{1} \geq 0 ; x_{2} \geq 0 \) Minimum value of \( C= \) Value of \( x_{1}= \) Value of \( x_{2}= \) M M
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When solving a minimization problem using the simplex method, it’s crucial to first convert the inequalities into standard form. For constraints like \( x_{1} + x_{2} \geq 6 \) and \( 2x_{1} + 4x_{2} \geq 12 \), you would introduce surplus variables to create equalities. This requires rewriting the constraints to something like: 1. \( x_{1} + x_{2} - s_{1} = 6 \) 2. \( 2x_{1} + 4x_{2} - s_{2} = 12 \) Where \( s_{1} \) and \( s_{2} \) are surplus variables representing the 'excess' amounts beyond the equalities you need to achieve. Next, construct the initial tableau, and use the simplex method to pivot towards optimality, aiming for the minimum value of \( C \) while tracking the values of \( x_{1} \) and \( x_{2} \). When dealing with linear programming, remember: common mistakes involve misapplying the simplex iterations or failing to check the feasibility of solutions at each step. Always double-check your pivots and ensure you're correctly assessing which variable enters and leaves the basis. As you practice, the signs of your pivot operations and tableau completion will become second nature! With these tips in mind, dive into your simplex tableau, keep your calculations neat, and you’ll arrive at the optimal solutions with confidence! 🎉
