Difference between revisions of "EGR 103/Fall 2015/Lab 5"
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− | This page is meant to serve as the basis for a self-guided tour of the various parts of Lab 5. It will include relevant links and example for each problem. Dr. G will also be presenting materials during the lab. | + | <div class="noautonum">__TOC__</div> |
+ | This page is meant to serve as the basis for a self-guided tour of the various parts of Lab 5 for [[EGR 103]]. It will include relevant links and example for each problem. Dr. G will also be presenting materials during the lab. | ||
− | == Palm 5.2 == | + | == Typographical Errors == |
+ | None yet! | ||
+ | |||
+ | == 3.4 Assignment == | ||
+ | === 3.4.1 Palm 5.2 === | ||
Pretty straightforward. Remember to use a large number of points for finding numerical extrema and a decidedly smaller number of points for making the plot. | Pretty straightforward. Remember to use a large number of points for finding numerical extrema and a decidedly smaller number of points for making the plot. | ||
− | == Chapra 3.9 == | + | === 3.4.2 Palm 5.21/6.7 === |
+ | Just three different ways of looking at a data set! | ||
+ | |||
+ | === 3.4.3 Chapra 3.9 === | ||
The core of this problem is to learn how to make a surface plot with contours. [[MATLAB:Plotting_Surfaces]] contains a great deal of information about this process. The <code>meshgrid</code> command is especially important. | The core of this problem is to learn how to make a surface plot with contours. [[MATLAB:Plotting_Surfaces]] contains a great deal of information about this process. The <code>meshgrid</code> command is especially important. | ||
− | == Palm 5.30-5.32 == | + | === 3.4.4 Palm 5.30-5.32 === |
The main programming concepts here are using subplots and creating a contour plot. More information can be found at [[MATLAB:Contour_Plots]] | The main programming concepts here are using subplots and creating a contour plot. More information can be found at [[MATLAB:Contour_Plots]] | ||
− | == Palm 5.34 == | + | === 3.4.5 Palm 5.34 === |
IBID | IBID | ||
− | == Palm 4.28 == | + | === 3.4.6 Palm 4.28 === |
This problem expands on making surface plots to using 2-D matrices to solve optimization problems. [[MATLAB:Plotting_Surfaces]] and [[MATLAB:Contour_Plots]] will be useful in making the plots. The section [[MATLAB:Plotting_Surfaces#Finding_Minima_and_Maxima_in_2-D]] will be especially helpful in terms of finding the best location for the distribution center. | This problem expands on making surface plots to using 2-D matrices to solve optimization problems. [[MATLAB:Plotting_Surfaces]] and [[MATLAB:Contour_Plots]] will be useful in making the plots. The section [[MATLAB:Plotting_Surfaces#Finding_Minima_and_Maxima_in_2-D]] will be especially helpful in terms of finding the best location for the distribution center. |
Latest revision as of 14:51, 21 September 2015
This page is meant to serve as the basis for a self-guided tour of the various parts of Lab 5 for EGR 103. It will include relevant links and example for each problem. Dr. G will also be presenting materials during the lab.
Typographical Errors
None yet!
3.4 Assignment
3.4.1 Palm 5.2
Pretty straightforward. Remember to use a large number of points for finding numerical extrema and a decidedly smaller number of points for making the plot.
3.4.2 Palm 5.21/6.7
Just three different ways of looking at a data set!
3.4.3 Chapra 3.9
The core of this problem is to learn how to make a surface plot with contours. MATLAB:Plotting_Surfaces contains a great deal of information about this process. The meshgrid
command is especially important.
3.4.4 Palm 5.30-5.32
The main programming concepts here are using subplots and creating a contour plot. More information can be found at MATLAB:Contour_Plots
3.4.5 Palm 5.34
IBID
3.4.6 Palm 4.28
This problem expands on making surface plots to using 2-D matrices to solve optimization problems. MATLAB:Plotting_Surfaces and MATLAB:Contour_Plots will be useful in making the plots. The section MATLAB:Plotting_Surfaces#Finding_Minima_and_Maxima_in_2-D will be especially helpful in terms of finding the best location for the distribution center.