Chapter 11: Problem 730
According to the Fundamental Theorem of linear programming, if either a linear program or its dual has no feasible point, then the other one has no solution. Illustrate this assertion with an example.
Chapter 11: Problem 730
According to the Fundamental Theorem of linear programming, if either a linear program or its dual has no feasible point, then the other one has no solution. Illustrate this assertion with an example.
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Get started for freeMinimize \(\quad \mathrm{x}_{1}+\mathrm{x}_{2}\) Subject to: \(\begin{aligned} & \mathrm{x}_{1}+2 \mathrm{x}_{2} \leq 4 \\ & \mathrm{x}_{2} \leq 1 \\ & \mathrm{x}_{1}, \mathrm{x}_{2} \geq 0 \end{aligned}\) Find a basic feasible solution to the above problem, starting from a b.f.s with xi and in the basis.
Graph the system \(\mathrm{x} \geq 4\) and \(2 x \leq 18\)
The Brown Company has two warehouses and three retail outlets. Warehouse number one (which will be denoted by \(\mathrm{W}_{1}\) ) has a capacity of 12 units; warehouse number two \(\left(\mathrm{W}_{2}\right)\) holds 8 units. These warehouses must ship the product to the three outlets, denoted by \(\mathrm{O}_{1}, \mathrm{O}_{2}\), and \(\mathrm{O}_{3} \cdot \mathrm{O}_{1}\) requires 8 units. \(\mathrm{O}_{2}\) requires 7 units, and \(\mathrm{O}_{3}\) requires 5 units. Thus, there is a total storage capacity of 20 units, and also a demand for 20 units. The question is, which warehouse should ship how many units to which outlet? (The objective being, of course, to accomplish this at the least possible cost.) Costs of shipping from either warehouse to any of the outlets are known and are summarized in the following table, which also sets forth the warehouse capacities and the needs of the retail outlets: $$ \begin{array}{|c|c|c|c|c|} \hline & \mathrm{O}_{1} & \mathrm{O}_{2} & \mathrm{O}_{3} & \text { Capacity } \\\ \hline \mathrm{W}_{1} \ldots \ldots \ldots \ldots . . & \$ 3.00 & \$ 5.00 & \$ 3.00 & 12 \\ \hline \mathrm{W}_{2} \ldots \ldots \ldots \ldots . . & 2.00 & 7.00 & 1.00 & 8 \\\ \hline \text { Needs (units) } & 8 & 7 & 5 & \\ \hline \end{array} $$
Consider the following problem: \(\begin{aligned}&\text { Minimize } & z=2 x_{1}+4 x_{2} \\\&\text { subject to } & x_{1}+5 x_{2} \leq 80 \\\& & 4 x_{1}+2 x_{2} \geq 20 \\\& & x_{1}+x_{2}=10 \\\& & x_{1}, x_{2} \geq 0\end{aligned}\) Find the canonical form.
Suppose that we have 2 factories and 3 warehouses. Factory I makes 40 widgets. Factory II makes 50 widgets. Warehouse A stores 15 widgets. Warehouse B stores 45 widgets. Warehouse C stores 30 widgets. It costs \(\$ 80\) to ship one widget from Factory I to warehouse A, \(\$ 75\) to ship one widget from Factory \(\mathrm{I}\) to warehouse \(\mathrm{B}, \$ 60\) to ship one widget from Factory I to warehouse C, \(\$ 65\) per widget to ship from Factory II to warehouse A, \(\$ 70\) per widget to ship from Factory II to warehouse \(\mathrm{B}\), and \(\$ 75\) per widget to ship from Factory II to warehouse \(\mathrm{C}\). 1) Set up the linear programming problem to find the shipping pattern which minimizes the total cost. 2) Find a feasible (but not necessarily optimal) solution to the problem of finding a shipping pattern using the Northwest Corner Algorithm. 3) Use the Minimum Cell Method to find a feasible solution to the shipping problem.
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