More Multivariable Calculus: Least Squares, ODEs and Local Extrema, and Newton’s Method - PowerPoint PPT Presentation

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More Multivariable Calculus: Least Squares, ODEs and Local Extrema, and Newton’s Method

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More Multivariable Calculus: Least Squares, ODEs and Local Extrema, and Newton s Method Dr. Jeff Morgan Department of Mathematics University of Houston – PowerPoint PPT presentation

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Title: More Multivariable Calculus: Least Squares, ODEs and Local Extrema, and Newton’s Method


1
More Multivariable Calculus Least Squares, ODEs
and Local Extrema, and Newtons Method
  • Dr. Jeff Morgan
  • Department of Mathematics
  • University of Houston
  • jmorgan_at_math.uh.edu

2
Shameless Advertisement
  • Houston Area Calculus Teachers Association
    http//www.HoustonACT.org
  • Houston Area Teachers of Statistics
    http//www.HoustonATS.org
  • Online practice AP Calculus and Statistics Exams
    April and May 2009. See the links above.
  • UH High School Mathematics Contest
    http//mathcontest.uh.edu

3
Technology Tool Tips
  • PDF Annotator
  • Mimio Notebook
  • WinPlot
  • Bamboo Tablet

4
Linear Least Squares
  • Example 1 Consider the problem of finding a line
    that fits the data

Question How can calculus be used to determine
how we should proceed?
5
The General Process
  • Consider the problem of finding a line that fits
    the data

Question How can calculus be used to determine
how we should proceed?
6
Solution to Example 1 in Excel
  • Select ranges to write updated values.
  • Use the commands transpose, mmult and minverse
    and select the data that the commands will act
    on.
  • Press ctrlshiftenter.

7
Quadratic Least Squares
  • Example 2 Consider the problem of finding a
    parabola that fits the data

Question How can calculus be used to determine
how we should proceed?
8
The General Process
  • Consider the problem of finding a parabola that
    fits the data

Question How can calculus be used to determine
how we should proceed?
9
Solution to Example 2 in Excel
  • Select ranges to write updated values.
  • Use the commands transpose, mmult and minverse
    and select the data that the commands will act
    on.
  • Press ctrlshiftenter.

10
Example 3
11
Chain Rule, Directional Derivatives, Gradients
and Differential Equations
  • Extending the one dimensional chain rule.
  • Directional derivatives and their relation to the
    gradient.
  • Level sets and their relation to the gradient.
  • Using ODEs to help sketch level sets in two
    dimensions.
  • Classifying the behavior of the gradient near
    critical points.
  • Using ODEs to find local extrema.

12
Example 4
(Illustration with Winplot Implicit Plots)
13
Example 5
14
Question How can we related this to differential
equations?
  • (Illustration with Winplot and Polkings Java)

15
Example 6
(Illustration with both implicit plots and ODEs)
16
Example 7
(Illustration with Winplot and Polkings Java)
17
What is Newtons Method?
18
Example 8
(Illustration with Winplot and Excel)
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