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void loadRandomLetters( LinkedList list, int n) { list.clear(); while (0 < n--) list.add("" + (char)('A' + (int)(Math.random()*26))); } void printForward(LinkedList list) { for (ListIterator itr=list.listIterator(); itr.hasNext(); ) System.out.println(itr.next()); } void printBackward(LinkedList list) { ListIterator itr=list.listIterator(list.size()); while (itr.hasPrevious()) System.out.println(itr.previous()); } void exchange(LinkedList list, int i, int j) { Object ithObj = list.get(i); Object jthObj = list.get(j) ; list.set(i,jthObj); list.set(j,ithObj); }
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The solution to the generalized Josephus Problem:
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public class Josephus public static final public static final public static final { int SOLDIERS = 11; int SKIP = 2; String ALPHA = "ABCDEFGHIJKLMNOPQRSTUVWXYZ";
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public static void main(String[] args) { Ring<String> ring = new Ring<String>(); for (int i=0; i<SOLDIERS; i++) { ring.add(ALPHA.substring(i, i+1)); } System.out.println(ring); Iterator<String> it = ring.iterator(); String killer = it.next(); String victim = null; while (ring.size() > 1) { for (int i = 0; i <= SKIP; i++) { victim = it.next(); } if (victim == killer) { victim = it.next(); } System.out.println(killer + " killed " + victim); it.remove(); killer = it.next(); } System.out.println("The lone survivor is " + it.next()); } }
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public double valueAt(double x) { // returns the y-value p(x) of p at the specified x-value // This implements Horner's method. if (this.isZero()) { return 0.0; } ListIterator<Term> it = list.listIterator(); Term term = null; while (it.hasNext()) { // move to last element term = it.next(); } term = it.previous(); double y = term.coef; int n = term.exp; while (it.hasPrevious()) { term = it.previous(); y *= Math.pow(x, n - term.exp); y += term.coef; n = term.exp; } y *= Math.pow(x, n); return y; } public Polynomial times(double factor) { // returns a new polynomial that is equal to this polynomial if (this.isZero() || factor == 0.0) { return ZERO; } Polynomial p = new Polynomial(this); for (Term t : p.list) { t.coef *= factor; } return p; }
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A hash table (also called a map, a lookup table, an associative array, or a dictionary) is a container that allows direct access by any index type. It works like an array or vector except that the index variable need not be an integer. A good analogy is a dictionary; the index variable is the word being looked up, and the element that it indexes is its dictionary definition. A table is a sequence of pairs. The first component of the pair is called the key. It serves as the index into the table, generalizing the subscript integer used in arrays. The second component is called the value of its key component. It contains the information being looked up. In the dictionary example, the key is the word being looked up, and the value is that word s definition (and everything else listed for that word). A table is also called a map because we think of the keys being mapped into their values, like a mathematical function: f(key) = value. Tables are also called an associative arrays because they can be implemented using two parallel arrays; the keys in one array and the Figure 8.1 The Map classes of the JCF values in the other. THE JAVA Map INTERFACE The Java Collections Framework includes a Map interface, as shown in Figure 8.1. It is defined in the java.util package like this:
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public interface Map { int size(); boolean isEmpty(); boolean containsKey(Object key); boolean containsValue(Object value); Object get(Object key); Object put(Object key, Object value); Object remove(Object key); void putAll(Map map); void clear();
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public Set keySet(); public Collection values(); public Set entrySet(); public interface Entry { Object getKey(); Object getValue(); Object setValue(Object value); boolean equals(Object o); int hashCode(); } boolean equals(Object o); int hashCode(); }
THE HashMap CLASS As the class hierarchy in Figure 8.1 shows, Java defines four implementations of its Map interface: the AbstractMap class, the HashMap class, the TreeMap class, and the WeakHashMap class. EXAMPLE 8.1 A German-English Dictionary
This program uses the HashMap class to build a German-English dictionary:
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public class TestDictionary { public static void main(String[] args) { Map map = new HashMap(); map.put("Tag","day"); map.put("Hut","hat"); map.put("Uhr","clock"); map.put("Rad","wheel"); map.put("Ohr","ear"); map.put("Tor","gate"); System.out.println("map=" + map); System.out.println("map.size()=" + map.size()); System.out.println("map.keySet()=" + map.keySet()); System.out.println("map.values()=" + map.values()); System.out.println("map.get(\"Uhr\")=" + map.get("Uhr")); System.out.println("map.remove(\"Rad\")=" + map.remove("Rad")); System.out.println("map.get(\"Rad\")=" + map.get("Rad")); System.out.println("map=" + map); System.out.println("map.size()=" + map.size()); } }
The output is:
map={Rad=wheel, Uhr=clock, Ohr=ear, Tor=gate, Hut=hat, Tag=day} map.size()=6 map.keySet()=[Rad, Uhr, Ohr, Tor, Hut, Tag] map.values()=[wheel, clock, ear, gate, hat, day] map.get("Uhr")=clock map.remove("Rad")=wheel map.get("Rad")=null map={Uhr=clock, Ohr=ear, Tor=gate, Hut=hat, Tag=day} map.size()=5 The put() method inserts key/value pairs into the table. For example, map.put("Tag","day"); inserts the key/value pair ("Tag","day"), where "Tag" is the key and "day" is the value.
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