Use the simplexe method to man the given function. Asume al variabled Maximzet-5x+6y subject to X+2y<10

Advanced Engineering Mathematics
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ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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**Title: Maximizing a Linear Function Using the Simplex Method**

**Objective:**
To maximize the given linear function assuming all variables are non-negative.

**Problem Statement:**
Maximize the function:
\[ f = 5x + 6y \]

**Subject to the constraints:**
1. \( x + 2y \leq 10 \)
2. \( x + y \leq 7 \)

**Solution Variables:**
- \((x, y) = (\quad, \quad)\)
- \( f = \)

**Explanation:**
This exercise involves using the Simplex Method, a popular algorithm for numerical optimization in linear programming. The objective is to find the maximum value of the linear function \( f = 5x + 6y \) given the specified constraints on \( x \) and \( y \). The region defined by the constraints is a convex polytope, and the Simplex Method will navigate the vertices of this region to find the optimum solution.

**Steps to Solve:**
1. Graph the region of feasible solutions as defined by the constraints.
2. Identify the vertices (corner points) of the feasible region.
3. Evaluate the objective function \( f = 5x + 6y \) at each vertex.
4. Select the vertex that provides the highest value of \( f \).

This mathematical approach allows for the determination of optimal allocation or outcomes in scenarios constrained by linear inequalities.
Transcribed Image Text:**Title: Maximizing a Linear Function Using the Simplex Method** **Objective:** To maximize the given linear function assuming all variables are non-negative. **Problem Statement:** Maximize the function: \[ f = 5x + 6y \] **Subject to the constraints:** 1. \( x + 2y \leq 10 \) 2. \( x + y \leq 7 \) **Solution Variables:** - \((x, y) = (\quad, \quad)\) - \( f = \) **Explanation:** This exercise involves using the Simplex Method, a popular algorithm for numerical optimization in linear programming. The objective is to find the maximum value of the linear function \( f = 5x + 6y \) given the specified constraints on \( x \) and \( y \). The region defined by the constraints is a convex polytope, and the Simplex Method will navigate the vertices of this region to find the optimum solution. **Steps to Solve:** 1. Graph the region of feasible solutions as defined by the constraints. 2. Identify the vertices (corner points) of the feasible region. 3. Evaluate the objective function \( f = 5x + 6y \) at each vertex. 4. Select the vertex that provides the highest value of \( f \). This mathematical approach allows for the determination of optimal allocation or outcomes in scenarios constrained by linear inequalities.
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