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OUTLINE

1. x y Plotting Functions
2. Subplots and Overlay Plots
3. Special Plot Types
4. Inter,active Plottinig in MATLAB
5. Function Discovery
6. Regression
7. The Basic Fitting Interface
8. Three-Dimensional Plots
5.9 Summary
Problems

The popular phrase ”A picture is worth a thousand words” emphasizes the importance of graphical representation in communicating information. It is easier to identify patterns in a plot than in a table of numbers. Engineers frequently use plots both to gain insight and to communicate their findings and ideas to Plotting, like any language, has a set of rules, standards, and practices that the engineer should follow to produce effective plots. Failure to do so will diminish one’s reputation with colleagues, at least, and at worst, could lead others to draw’ incorrect conclusions about the data presented. . MATLAB has many functions that are useful for creating plots. In this chapter you will ieam ‘how to use-them to create two-dimensional plots, which are also, called xy plots, and three-dimensional plots called xyz plots, or surface plots. These plotting functions are described in the graph2d and graph3d help

categories, so typing help graph2d or help graph3d will display a li
the relevant plotting functions. This chapter also discusses the elements of a correct graph and how to MATLAB to create effective graphs that convey the desired information. : important application of plotting isJunction discovery, the technique for using da:plots to obtain a mathematical function or “mathematical model” that descri
the process that generated the data. This feature is very useful for engineeri applications because engineers frequently need to use mathematical model . predict how their proposed designs will work. A systematic method for obtain u = models is regression, which is also covered in this chapter.

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