Read e-book online Beautiful code : leading programmers explain how they think PDF

By Andrew Oram; Greg Wilson

ISBN-10: 0596510047

ISBN-13: 9780596510046

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Read Online or Download Beautiful code : leading programmers explain how they think PDF

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Additional resources for Beautiful code : leading programmers explain how they think

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Examples 3-2 and 3-3 are working Quicksorts, instrumented to count comparisons as they sort a real array. Examples 3-4 through 3-6 implement a simple model of Quicksort: they mimic one run of the algorithm, without actually doing the work of sorting. Examples 3-7 through 3-12 implement a more sophisticated model: they compute the true average number of comparisons without ever tracing any particular run. 36 CHAPTER THREE The techniques used to achieve each program are summarized as follows: • Examples 3-2, 3-4, 3-7: Fundamental change of problem definition.

But he’d been pondering the problem for a long time, too, and he followed his instincts about how tree structures behave. The first thing that strikes one about the delta editor is that it chooses constraint: even though there is no philosophical requirement that tree edits be done in depth-first order (or indeed in any order at all), the interface enforces depth-firstness anyway, by means of the baton relationships. This makes the interface’s usage and behavior more predictable. The second thing is that an entire edit operation unobtrusively carries its context with it, again by means of the batons.

This change yields the Quicksort shown in Example 3-3. E X A M P L E 3 - 3 . Quicksort inner loop with increment moved out of loop comps += u-l; for (i = l+1; i <= u; i++) if (x[i] < x[l]) swap(++m, i); This program sorts an array and counts the number of comparisons used while doing so. However, if our goal is only to count the comparisons, we don’t really need to sort the array. Example 3-4 removes the “real work” of sorting the elements, and keeps only the “skeleton” of the various calls made by the program.

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

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