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Multi-key quicksort

Multi-key quicksort is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Multi-key quicksort rather than just read about it. In short: Multi-key quicksort, also known as three-way radix quicksort, is an algorithm for sorting strings. This hybrid of quicksort and radix sort was originally suggested by P.

Key takeaways

  • Multi-key quicksort belongs to computer science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Multi-key quicksort to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Multi-key quicksort from memory before moving on to harder problems.

Reference excerpt

Multi-key quicksort, also known as three-way radix quicksort, is an algorithm for sorting strings. This hybrid of quicksort and radix sort was originally suggested by P. Shackleton, as reported in one of C. A. R. Hoare's seminal papers on quicksort; its modern incarnation was developed by Jon Bentley and Robert Sedgewick in the mid-1990s. The algorithm is designed to exploit the property that in many problems, strings tend to have shared prefixes. One of the algorithm's uses is the construction of suffix arrays, for which it was one of the fastest algorithms as of 2004.

Description The three-way radix quicksort algorithm sorts an array of N (pointers to) strings in lexicographic order. It is assumed that all strings are of equal length K; if the strings are of varying length, they must be padded with extra elements that are less than any element in the strings. The pseudocode for the algorithm is then

algorithm sort(a : array of string, d : integer) is if length(a) ≤ 1 or d ≥ K then return p := pivot(a, d) i, j := partition(a, d, p) (Note a simultaneous assignment of two variables.) sort(a[0:i), d) sort(a[i:j), d + 1) sort(a[j:length(a)), d)

Unlike most string sorting algorithms that look at many bytes in a string to decide if a string is less than, the same as, or equal to some other string; and then turning its focus to some other pair of strings, the multi-key quicksort initially looks at only one byte of every string in the array, byte d, initially the first byte of every string. The recursive call uses a new value of d and passes a subarray where every string in the subarray has exactly the same initial part -- the characters before character d. The pivot function must return a single character. Bentley and Sedgewick suggest either picking the median of a[0][d], ..., a[length(a)−1][d] or some random character in that range. The partition function is a variant of the one used in ordinary three-way quicksort: it rearranges a so that all of a[0], ..., a[i−1] have an element at position d that is less than p, a[i], ..., a[j−1] have p at position d, and strings from j onward have a d'th element larger than p. (The original partitioning function suggested by Bentley and Sedgewick may be slow in the case of repeated elements; a Dutch national flag partitioning can be used to alleviate this.) Practical implementations of multi-key quicksort can benefit from the same optimizations typically applied to quicksort: median-of-three pivoting, switching to insertion sort for small arrays, etc.

See also American flag sort – another radix sort variant that is fast for string sorting Ternary search tree – three-way radix quicksort is isomorphic to this data structure in the same way that quicksort is isomorphic to binary search trees

Notes

References

Worked examples

Example 1 — a first encounter with Multi-key quicksort

Start with the simplest possible case. Write down what Multi-key quicksort claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Multi-key quicksort before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Multi-key quicksort ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Multi-key quicksort

In research
Multi-key quicksort appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Multi-key quicksort in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Multi-key quicksort is common in secondary-school and first-year university syllabi. It links to neighbouring topics Comparison sorts, String sorting algorithms, so understanding it makes those chapters shorter.
In everyday life
Look for Multi-key quicksort outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Multi-key quicksort in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Multi-key quicksort means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Multi-key quicksort out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Multi-key quicksort in simple terms?

Multi-key quicksort, also known as three-way radix quicksort, is an algorithm for sorting strings. This hybrid of quicksort and radix sort was originally suggested by P.

Why does Multi-key quicksort matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Multi-key quicksort?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Multi-key quicksort.

Tags

  • Comparison sorts
  • String sorting algorithms

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