The program may output what I want, but the code isn’t done yet. Continuing from last week’s Lesson, I’d like the program to output a single grid showing a summary of all the rectangles found. This update requires more changes to the existing code.
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The two problems I recognized in the code from last week’s Lesson were that scan_column() and find_right() don’t need to be separate functions. Also, the code fails to find all the rectangles in the grid, which is bad. Time to fix the code!
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I was so excited with last week’s code that I didn’t bother to confirm that it worked properly. No, I was eager to see graphic output of the found rectangles.
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This month’s Exercise is rather simple, though it doesn’t promise a simple solution. Instead, I offer three solutions. One of which is obvious and two are kind of out there. They all work, which is the point.
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Adding values is a basic programming concept: 4 + 5 = 9 But where do the values come from? They can be literals, variables, expressions, or values collected from the user.
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The next update to my pattern-finding program is to hunt down and find a clutch of asterisks in the grid that form a rectangle. Figure 1 illustrates what I’m after.
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To count all possible rectangles in a random grid requires a lot of scanning. My first thought was that the process would involve recursion. I wasn’t 100 percent certain, but I wanted to prep the code for such a possibility.
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Ever since I was a little boy and coded my first nested loop, I’ve enjoyed messing with grids in C. I’ve done monthly calendars in grids, rotated grids, manipulated grids mathematically — all sorts of fun girddy stuff. But I’m not done yet.
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Array notation involves the array’s name followed by a set of square brackets. Within these brackets is a reference to the array element’s number. It’s important to remember that the first element is zero. But the subscript need not always be a constant integer.
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The challenge for this month’s Exercise is to calculate the standard deviation for a given set of data points. It’s a “whole population calculation” because all the data points are present. The trick is to follow the equation, transforming it from cryptic math mumbo-jumbo into C code.
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