int target[COUNT] = { 24, 28, 32, 45, 50, 66, 67, 70, 80, 95 };
\nint sample[COUNT] = { 26, 26, 30, 42, 50, 61, 67, 75, 85, 99 };<\/code><\/p>\nAt first glance, you see that both arrays contain different sets of values. Additional examination shows that the each value is sequentially higher than the previous one and, further, they’re all positive integers less than 100. Other than that, there’s nothing interesting about the two sets of values — unless you graph them both, as shown in Figure 1.<\/p>\n
![\"Figure](\"http:\/\/c-for-dummies.com\/blog\/wp-content\/uploads\/2016\/08\/0903-figure1.png\")
Figure 1. The two data sets graphed as lines.<\/p><\/div>\n
When shown visually, you can quickly see that the two arrays, target[]<\/code> and sample[]<\/code> are pretty much identical. If you were conducting a survey or comparing test results, you would say that there’s really little difference between the two; they both graph what is essentially the same line.<\/p>\nSo how do you convince the computer that they’re similar?<\/p>\n
The answer is what I call fuzzy matching<\/em>. You code a program so that it doesn’t just compare values one-to-one. Instead, you factor in some slop, plus you provide forgiveness for values way outside the range. The amount of fuzz you can add is up to your code, but before showing how that works, the following sample program compares the two arrays in a traditional, discrete and unsympathetic way:<\/p>\n\r\n#include <stdio.h>\r\n\r\n#define COUNT 10\r\n#define TRUE 1\r\n#define FALSE 0\r\n\r\nint main()\r\n{\r\n int target[COUNT] = { 24, 28, 32, 45, 50,\r\n 66, 67, 70, 80, 95 };\r\n int sample[COUNT] = { 26, 26, 30, 42, 50,\r\n 61, 67, 75, 85, 99 };\r\n int x,match;\r\n\r\n match = TRUE; \/* initialize match *\/<\/span>\r\n\r\n \/* compare arrays *\/<\/span>\r\n for(x=0; x<COUNT; x++)\r\n {\r\n if( target[x] != sample[x] )\r\n {\r\n match = FALSE;\r\n break;\r\n }\r\n }\r\n\r\n \/* display results *\/<\/span>\r\n if(match)\r\n printf(\"The arrays are identical\\n\");\r\n else\r\n printf(\"The arrays do not match\\n\");\r\n\r\n return(0);\r\n}<\/pre>\nArrays target[]<\/code> and sample[]<\/code> are declared at Lines 9 and 11.<\/p>\nThe for<\/em> loop at Line 18 compares each array’s elements. When the if<\/em> statement’s result at Line 20 is false, variable match<\/code> is set to FALSE<\/code> at Line 22 and the loop is broken (Line 23).<\/p>\nThe if-else<\/em> structure at Line 28 displays the comparison results based on the value of variable match<\/code>.<\/p>\nHere is a sample run:<\/p>\n
The arrays do not match<\/code><\/pre>\nThe program is correct: The arrays do not match. If the code is plotting a spacecraft’s course to Jupiter, such results would be a good thing. Yet, if it’s comparing the two lines shown in Figure 1, the results aren’t that helpful.<\/p>\n
To get the results you want, you must add some fuzz<\/em> to the comparison formula. I’ll demonstrate how to do so in next week’s Lesson<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"To compare two sets of values that are very similar, yet not really identical, you have to add some fuzz. Continue reading