Algorithms

The polymorphic algorithms described in this section are pieces of reusable functionality provided by the Java 2 SDK. All of them come from the Collections class, and all take the form of static methods whose first argument is the collection on which the operation is to be performed. The great majority of the algorithms provided by the Java platform operate on List objects, but a couple of them (min and max) operate on arbitrary Collection objects. This section describes the following algorithms:

Sorting

The sort algorithm reorders a List so that its elements are in ascending order according to an ordering relation. Two forms of the operation are provided. The simple form takes a List and sorts it according to its elements' natural ordering. If you're unfamiliar with the concept of natural ordering, read the section Object Ordering (page 496).

The sort operation uses a slightly optimized merge sort algorithm. This algorithm is

Here's a trivial program that prints out its arguments in lexicographic (alphabetical) order:

import java.util.*; public class Sort { public static void main(String args[]) { List l = Arrays.asList(args); Collections.sort(l); System.out.println(l); } }

Let's run the program:

java Sort i walk the line

The following output is produced:

[i, line, the, walk]

The program was included only to show you that algorithms really are as easy to use as they appear to be.

The second form of sort takes a Comparator in addition to a List and sorts the elements with the Comparator. Suppose that you wanted to print out the permutation groups from our earlier example in reverse order of size, largest permutation group first. The following example shows you how to achieve this with the help of the second form of the sort method.

Recall that the permutation groups are stored as values in a Map, in the form of List objects. The revised printing code iterates through the Map's values view, putting every List that passes the minimum-size test into a List of Lists. Then the code sorts this List, using a Comparator that expects List objects, and implements reverse-size ordering. Finally, the code iterates through the sorted List, printing its elements (the permutation groups). The following code replaces the printing code at the end of Perm's main method:

// Make a List of permutation groups above size threshold List winners = new ArrayList(); for (Iterator i = m.values().iterator(); i.hasNext(); ) { List l = (List) i.next(); if (l.size() >= minGroupSize) winners.add(l); } // Sort permutation groups according to size Collections.sort(winners, new Comparator() { public int compare(Object o1, Object o2) { return ((List)o2).size() - ((List)o1).size(); } }); // Print permutation groups for (Iterator i=winners.iterator(); i.hasNext(); ) { List l = (List) i.next(); System.out.println(l.size() + ": " + l); }

Running the program on the same dictionary in the section Map Interface (page 487), with the same minimum permutation group size (eight), produces the following output:

12: [apers, apres, asper, pares, parse, pears, prase, presa, rapes, reaps, spare, spear] 11: [alerts, alters, artels, estral, laster, ratels, salter, slater, staler, stelar, talers] 10: [least, setal, slate, stale, steal, stela, taels, tales, teals, tesla] 9: [estrin, inerts, insert, inters, niters, nitres, sinter, triens, trines] 9: [capers, crapes, escarp, pacers, parsec, recaps, scrape, secpar, spacer] 9: [anestri, antsier, nastier, ratines, retains, retinas, retsina, stainer, stearin] 9: [palest, palets, pastel, petals, plates, pleats, septal, staple, tepals] 8: [carets, cartes, caster, caters, crates, reacts, recast, traces] 8: [ates, east, eats, etas, sate, seat, seta, teas] 8: [arles, earls, lares, laser, lears, rales, reals, seral] 8: [lapse, leaps, pales, peals, pleas, salep, sepal, spale] 8: [aspers, parses, passer, prases, repass, spares, sparse, spears] 8: [earings, erasing, gainers, reagins, regains, reginas, searing, seringa] 8: [enters, nester, renest, rentes, resent, tenser, ternes, treens] 8: [peris, piers, pries, prise, ripes, speir, spier, spire]

Shuffling

The shuffle algorithm does the opposite of what sort does, destroying any trace of order that may have been present in a List. That is to say, this algorithm reorders the List, based on input from a source of randomness, such that all possible permutations occur with equal likelihood, assuming a fair source of randomness. This algorithm is useful in implementing games of chance. For example, it could be used to shuffle a List of Card objects representing a deck. Also, it's useful for generating test cases.

This operation has two forms. The first takes a List and uses a default source of randomness. The second requires the caller to provide a Random object to use as a source of randomness. The code for this algorithm is used as an example in the section List Interface (page 479).

Routine Data Manipulation

The Collections class provides three algorithms for doing routine data manipulation on List objects. All these algorithms are pretty straightforward.

Searching

The binary search algorithm searches for a specified element in a sorted List. This algorithm has two forms. The first takes a List and an element to search for (the "search key"). This form assumes that the List is sorted into ascending order according to the natural ordering of its elements. The second form of the call takes a Comparator in addition to the List and the search key and assumes that the List is sorted into ascending order according to the specified Comparator. The sort algorithm can be used to sort the List prior to calling binarySearch.

The return value is the same for both forms. If the List contains the search key, its index is returned. If not, the return value is (-(insertion point) - 1), where the insertion point is the point at which the value would be inserted into the List: the index of the first element greater than the value or list.size() if all elements in the List are less than the specified value. This admittedly ugly formula guarantees that the return value will be >= 0 if and only if the search key is found. It's basically a hack to combine a Boolean (found) and an integer (index) into a single int return value.

The following idiom, usable with both forms of the binarySearch operation, looks for the specified search key and inserts it at the appropriate position if it's not already present:

int pos = Collections.binarySearch(l, key); if (pos < 0) { l.add(-pos-1); }

Finding Extreme Values

The min and the max algorithms return, respectively, the minimum and maximum element contained in a specified Collection. Both of these operations come in two forms. The sim-ple form takes only a Collection and returns the minimum (or maximum) element according to the elements' natural ordering. The second form takes a Comparator in addition to the Collection and returns the minimum (or maximum) element according to the specified Comparator.

These are the only algorithm the Java platform provides that work on arbitrary Collection objects, as opposed to List objects. Like the fill algorithm, these algorithms are quite straightforward to implement and are included in the Java platform solely as a convenience to programmers.

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