.. _week10:

Week 10 - 10/21
---------------

.. note::
    
    Chapter 7 concludes the content on the second exam.


**Reading:**

    * 6.13. :ref:`mldivide`

    * 7. :ref:`leastSquare`

    * 8.1. :ref:`eigintro`

    * 8.2. :ref:`eigDemo`

    * 8.3. :ref:`find_eig`

    * 8.4. :ref:`eigProperties`

**Video Lectures:**

    .. note::

        Section 6.3 (:ref:`mldivide`) explains how MATLAB's left-divide
        operator decides which algorithm to use to solve a system of
        equations. The algorithms are presented through out chapter 6. So it
        does not seem necessary to make a video lecture for the section.


    * `Chapter 7 - Least Squares Regression - 2024
      <https://mediasite.k-state.edu/mediasite/Play/f75843df2f6448d689dde19dc31124c11d>`_
      (28:31)

    * `Sections 8.1-3 - Introduction to Eigenvalues and Eigenvectors - 2024
      <https://mediasite.k-state.edu/mediasite/Play/34c12692a17d482c866c0ac41c9006d51d>`_
      (36:11)

    * `Section 8.4 Properties of Eigenvalues and Eigenvectors
      <https://mediasite.k-state.edu/mediasite/Play/5fbbee26939440f790b6e6cab51075081d>`_
      (14:54)

**Annotated notes:**

    * Linear Regression with Projection -
      :download:`notes/Regression-projection.pdf`

**Assignments:**

    * `Rectangular Martrix Homework video
      <https://mediasite.k-state.edu/mediasite/Play/294a86759c6a4e98a3192a358df888aa1d>`_
      (32:49)

    * :ref:`RegressionHW`

    * `Least Squares Regression assignment video
      <https://mediasite.k-state.edu/mediasite/Play/d2fddf90db864556877030a397690b111d>`_
      (11:31)