Beautiful code : leading programmers explain how they think by Andrew Oram; Greg Wilson PDF

By Andrew Oram; Greg Wilson

ISBN-10: 0596510047

ISBN-13: 9780596510046

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Quicksort calculation with code moved out of the loop t[0] = 0 for (n = 1; n <= N; n++) sum = 0 for (i = 1; i <= n; i++) sum += t[i-1] + t[n-i] t[n] = n-1 + sum/n We will now further tune the loop by exploiting symmetry. When n is 4, for instance, the inner loop computes the sum: t[0]+t[3] + t[1]+t[2] + t[2]+t[1] + t[3]+t[0] In the sequence of pairs, the first elements increase while the second elements decrease. We can therefore rewrite the sum as: 2 * (t[0] + t[1] + t[2] + t[3]) We can use that symmetry to yield the Quicksort shown in Example 3-10.

The first step is to move the term n-1 out of the loop, as shown in Example 3-9. E X A M P L E 3 - 9 . Quicksort calculation with code moved out of the loop t[0] = 0 for (n = 1; n <= N; n++) sum = 0 for (i = 1; i <= n; i++) sum += t[i-1] + t[n-i] t[n] = n-1 + sum/n We will now further tune the loop by exploiting symmetry. When n is 4, for instance, the inner loop computes the sum: t[0]+t[3] + t[1]+t[2] + t[2]+t[1] + t[3]+t[0] In the sequence of pairs, the first elements increase while the second elements decrease.

Our first step, then, should be to find lines that contain something like: /ongoing/When/200x/2006/10/08/ Whatever language you’re programming in, you could spend lots of time writing code to match this pattern character by character. Or you could apply regular expressions. 42 CHAPTER FOUR Regular Expressions Regular expressions are special languages designed specifically for matching patterns in text. If you learn how to use them well, you’ll save yourself immense amounts of time and irritation.

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Beautiful code : leading programmers explain how they think by Andrew Oram; Greg Wilson


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