MIT6_094IAP10_assn02

# MIT6_094IAP10_assn02 - Jan 26 2010 Homework 2 6.094...

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Jan. 26, 2010 Homework 2 6.094: Introduction to Matlab Homework 2 This homework is designed to give you practice with writing functions and visualizing data. This assignment will give you more freedom than Homework 1 to choose how you implement your functions. You will just be graded on whether your functions produce the correct output, but not necessarily on how efficiently they’re written. As before, the names of helpful functions are provided in bold where needed. Homework must be submitted before the start of the next class. What to turn in: Copy the text from your scripts and paste it into a document. If a question asks you to plot or display something to the screen, also include the plot and screen output your code generates. Submit either a *.doc or *.pdf file. Keep all your code in scripts. If a specific name is not mentioned in the problem statement, you can choose your own script names. 1. Semilog plot . Over the past 5 years, the number of students in 6.094 has been 15, 25, 55, 115, 144. Class size seems like it’s growing exponentially. To verify this, plot these values on a plot with a log y scale and label it ( semilogy , xlabel , ylabel , title ). Use magenta square symbols of marker size 10 and line width 4, and no line connecting them. You may have to change the x limits to see all 5 symbols ( xlim ). If the relationship really is exponential, it will look linear on a log plot. 1

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3. Bar graph . Make a vector of 5 random values and plot them on a bar graph using red bars, something like the figure below. 1 2 3 4 5 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 Bar Graph of 5 Random Values 2 Problem 2 removed due to copyright restrictions.
Jan. 26, 2010 Homework 2 6.094: Introduction to Matlab 4 . Interpolation and surface plots . Write a script called randomSurface.m to do the following a. To make a random surface, make Z0 a 5x5 matrix of random values on the range [0,1] ( rand ). b. Make an X0 and Y0 using meshgrid and the vector 1:5 (use the same vector for both inputs into meshgrid). Now, X0, Y0, and Z0 define 25 points on a surface. c. We are going to interpolate intermediate values to make the surface seem smooth. Make X1 and Y1 using meshgrid and the vector 1:.1:5 (again use the same vector for both inputs into meshgrid). d. Make Z1 by interpolating X0, Y0, and Z0 at the positions in X1 and Y1 using cubic interpolation ( interp2 , specify cubic as the interpolation method). e. Plot a surface plot of Z1. Set the colormap to hsv and the shading property to interp ( surf , colormap , shading ). f. Hold on to the axes and plot the 15-line contour on the same axes ( contour ). g. Add a colorbar ( colorbar ). h. Set the color axis to be from 0 to 1 ( caxis ). The final figure should look something like this (if the figure isn’t copy/pasting into your document appropriately, try changing the figure copy options to use a bitmap): 5 . Fun with find . Write a function to return the index of the value that is nearest to a desired value. The function declaration should be: ind=findNearest(x, desiredVal) . x is a vector or matrix of values, and desiredVal is the scalar value you want to find. Do not assume that desiredVal

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