... while(nTree < nVerts)
{
int indexMin = getMin(); // get minimum from sPath
int minDist = sPath[indexMin].distance;
if(minDist == INFINITY) // if all infinite ... tree in the applet window. Clicking buttons will
show the steps involved in inserting a new node into the tree, deleting an existing node,
traversing the tree, and so on. Other chapters in...
... that Java doesn't use pointers. Although it surprises
some people, pointers aren't necessary for the creation of complex data structures and
algorithms. In fact, eliminating pointers ... 3, "Simple Sorting," and Chapter 7, "Advanced Sorting," to these
algorithms.
The concept of recursion is important in designing certain algorithms. Recursi...
... the same way Java does. The delimiters
are the braces '{'and'}', brackets '['and']', and parentheses '('and')'. Each opening or left ... for algorithms applied to certain complex data structures. In
Chapter 8, "Binary Trees,
" we'll see it used to help traverse the nodes of a tree. In
Chapter 13, "Gr...
... the new link.
If inserting at the beginning with insertFirst(), first is set to point to the new link,
although when inserting at the end with insertLast(), last is set to point to the ... put it, the item can be inserted in the usual way by
changing next in the new link to point to the next link, and changing next in the
previous link to point to the new link. However, the...
... format "/24/56/74/"
{
for(int j=0; j<numItems; j++)
itemArray[j].displayItem(); // "/56"
System.out.println("/"); // final "/" ... search, insertion, and deletion?
In investigating the answers, you must keep in mind two facts. First, accessing data on a
disk drive is much slower than accessing it in ma...
...
non-darkened lines, leaving only the minimum spanning tree. A final button press
restores the original graph, in case you want to use it again.
Java Code for the Minimum Spanning Tree
... putText("Can't remove; heap is empty" +
'\n');
break;
case 'c': // change
putText("Enter index of item: ");
val...
...
min = out; // minimum
for (in= out+1; in& lt;nElems; in+ +) // inner loop
if(a [in] < a[min] ) // if min greater,
min = in; // we have a new min
swap(out, min); ... the same way Java does. The delimiters
are the braces '{'and'}', brackets '['and']', and parentheses '('and')'. Each opening or...
... key and is informally
said to be "at the top of the heap"; hence, the name "heap" for the data structure. By
the way, the heap data structure defined here has nothing to do ... the "minimum" key with a "reverse" comparator is in fact the largest.
Figure 8.3: Example of a heap storing 13 entries
with integer keys. The last node is the one stori...