Advanced Engineering Mathematics
Advanced Engineering Mathematics
10th Edition
ISBN: 9780470458365
Author: Erwin Kreyszig
Publisher: Wiley, John & Sons, Incorporated
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**Problem Statement: Least Squares Solution to a System**

Find the least squares solution to the system \( Ax = b \), where:

\[ A = \begin{bmatrix} 1 & 1 \\ 1 & 0 \\ 0 & 1 \end{bmatrix} \]

and 

\[ b = \begin{bmatrix} 6 \\ 5 \\ 6 \end{bmatrix} \] 

### Explanation

This problem involves finding the least squares solution for a system of linear equations represented by the matrix equation \( Ax = b \). The matrix \( A \) is a \( 3 \times 2 \) matrix, and \( b \) is a \( 3 \times 1 \) vector. The goal is to find a vector \( x \) that minimizes the difference between \( Ax \) and \( b \).
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Transcribed Image Text:**Problem Statement: Least Squares Solution to a System** Find the least squares solution to the system \( Ax = b \), where: \[ A = \begin{bmatrix} 1 & 1 \\ 1 & 0 \\ 0 & 1 \end{bmatrix} \] and \[ b = \begin{bmatrix} 6 \\ 5 \\ 6 \end{bmatrix} \] ### Explanation This problem involves finding the least squares solution for a system of linear equations represented by the matrix equation \( Ax = b \). The matrix \( A \) is a \( 3 \times 2 \) matrix, and \( b \) is a \( 3 \times 1 \) vector. The goal is to find a vector \( x \) that minimizes the difference between \( Ax \) and \( b \).
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