-
Archives
- October 2021
- January 2021
- March 2019
- January 2018
- December 2017
- January 2017
- December 2016
- November 2016
- October 2016
- September 2016
- July 2016
- October 2014
- June 2014
- May 2014
- April 2014
- March 2014
- February 2014
- January 2014
- December 2013
- November 2013
- October 2013
- September 2013
- August 2013
- July 2013
- June 2013
- May 2013
- April 2013
- March 2013
- February 2013
- January 2013
- November 2012
- October 2012
- September 2012
- August 2012
- July 2012
- June 2012
- May 2012
- April 2012
- September 2011
- August 2011
- July 2011
- June 2011
- May 2011
- April 2011
- March 2011
- January 2011
- August 2010
- June 2010
- May 2010
- November 2009
-
Meta
Monthly Archives: December 2016
Linear Algebra and Its Applications, Exercise 3.3.24
Exercise 3.3.24. Given the measurements at use least squares to find the line of best fit. Answer: This corresponds to a system of the form as follows: To find the least squares solution we multiply both sides by to create a system … Continue reading
Linear Algebra and Its Applications, Exercise 3.3.23
Exercise 3.3.23. Given measurements show that the best least squares fit to the horizontal line is given by Answer: This corresponds to the system where is an by 1 matrix with all entries equal to 1 and . To find the … Continue reading
Linear Algebra and Its Applications, Exercise 3.3.22
Exercise 3.3.22. Given measurements of at use least squares to find the line of best fit of the form . Answer: This corresponds to a system as follows: To find the least squares solution we form the system . We have and … Continue reading
Linear Algebra and Its Applications, Exercise 3.3.21
Exercise 3.3.21. Given three vectors , , and , and the two lines through the origin and and through in the direction of , we want to find scalar values and such that the distance between the points and is … Continue reading
Linear Algebra and Its Applications, Exercise 3.3.20
Exercise 3.3.20. Given the matrix that projects onto the row space of , find the matrix that projects onto the nullspace of . Answer: The null space of is orthogonal to the row space of . The two spaces are orthogonal complements, with … Continue reading