Find the point on the graph of 𝑧=7𝑥2+7𝑦2+14
 nearest the plane 2𝑧−(9𝑥+2𝑦)=0.
The closest point is 

To find the point on the graph of \( z = 7x^2 + 7y^2 + 14 \) that is nearest to the plane \( 2z - (9x + 2y) = 0 \), we can approach this problem using Lagrange multipliers or geometric methods involving minimizing the distance between the surface and the plane.

Here are the steps:

### Step 1: Express the plane equation
The equation of the plane is given by:
\[
2z - (9x + 2y) = 0
\]
Rearranging this, we can solve for \( z \) as:
\[
z = \frac{9x + 2y}{2}
\]

### Step 2: Minimize the distance between the surface and the plane
We want to find the point on the surface \( z = 7x^2 + 7y^2 + 14 \) that minimizes the distance to the plane \( z = \frac{9x + 2y}{2} \).

The squared distance between any point \((x, y, z)\) on the surface and the plane is:
\[
D(x, y, z) = (x - x_0)^2 + (y - y_0)^2 + (z - z_0)^2
\]
However, instead of solving it directly as a distance minimization problem, we can apply Lagrange multipliers to account for the surface and plane constraints.

Would you like a detailed explanation of the steps for applying Lagrange multipliers or any clarifications on the setup?

### Related questions:
1. How are Lagrange multipliers applied in constrained optimization problems?
2. What is the geometric meaning of minimizing the distance between a surface and a plane?
3. How do you compute the gradient of a function, such as the one used in this problem?
4. How would the solution change if the plane equation were different?
5. What are other methods of solving optimization problems in three dimensions?

**Tip**: Lagrange multipliers are a powerful tool for solving constrained optimization problems when minimizing or maximizing functions subject to constraints.

Find the point on the graph of z = 7x^2 + 7y^2 + 14 nearest the plane 2z - (9x + 2y) = 0. The closest point is

Discover how to find the closest point on the surface z = 7x^2 + 7y^2 + 14 to the plane 2z - (9x + 2y) = 0. This problem uses concepts from multivariable calculus, including Lagrange multipliers and distance minimization techniques. Suitable for undergraduate students studying optimization and geometric analysis.

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