14. Least Squares and Applications
Solving Approximation Problems — Quiz
Test your understanding of solving approximation problems with 5 practice questions.
Practice Questions
Question 1
What is the main objective of the least squares method?
Question 2
In a data fit, if the observed value is $y$ and the predicted value is $\hat y$, what is the residual?
Question 3
If the system $Ax=b$ has no exact solution, what does the least squares solution do?
Question 4
In least squares, the residual vector $b-A\hat x$ is orthogonal to which subspace?
Question 5
Which equation is the normal equation for a least squares solution $\hat x$?