Section 4.5 The Unordered Linked List
Class
As we suggested above, the unordered linked list will be built from a collection of nodes, each linked to the next by explicit pointers. As long as we know where to find the first node (containing the first item), each item after that can be found by successively following the next links. With this in mind, the
UnorderedList
class must maintain a reference to the first node. Listing 4.5.1 shows the constructor. Note that each list object will maintain a single reference to the head of the list.Initially when we construct a list, there are no items. The assignment and declaration statment
UnorderedList myList;
creates the linked list representation shown in Figure 4.5.2. As we discussed in the Node class, the special reference
NULL
will again be used to state that the head of the list does not refer to anything. Eventually, the example list given earlier will be represented by a linked list as shown in Figure 4.5.3. The head of the list points to the first node which contains the first item of the list. In turn, that node holds a reference to the next node (the next item) and so on. It is very important to note that the list class itself does not contain any node objects. Instead it contains a single pointer to only the first node in the linked structure.The
isEmpty
method, shown in Listing 4.5.4, simply checks to see if the head of the list is a reference to NULL
. The result of the boolean expression this->head==NULL
will only be true if there are no nodes in the linked list. Since a new list is empty, the constructor and the check for empty must be consistent with one another. This shows the advantage to using the reference NULL
to denote the “end” of the linked structure. Two references are equal if they both refer to the same object. We will use this often in our remaining methods.So, how do we get items into our linked list? We need to implement the
add
method. However, before we can do that, we need to address the important question of where in the linked list to place the new item. Since this linked list is unordered, the specific location of the new item with respect to the other items already in the linked list is not important. The new item can go anywhere. With that in mind, it makes sense to place the new item in the easiest location possible.Recall that the linked list structure provides us with only one entry point, the head of the linked list. All of the other nodes can only be reached by accessing the first node and then following
next
links. This means that the easiest place to add the new node is right at the head, or beginning, of the linked list. In other words, we will make the new item the first item of the linked list and the existing items will need to be linked to this new first item so that they follow.The linked linked list shown in Figure 4.5.3 was built by calling the
add
method a number of times as in Listing 4.5.5.Note that since 31 is the first item added to the linked list, it will eventually be the last node on the linked list as every other item is added ahead of it. Also, since 54 is the last item added, it will become the data value in the first node of the linked list.
The
add
method is shown in Listing 4.5.6. Each item of the linked list must reside in a node object. Line 2 creates a new node and places the item as its data. Now we must complete the process by linking the new node into the existing structure. This requires two steps as shown in Figure 4.5.7. Step 1 (line 3) changes the next
reference of the new node to refer to the old first node of the linked list. Now that the rest of the linked list has been properly attached to the new node, we can modify the head of the linked list to refer to the new node. The assignment statement in line 4 sets the head of the linked list.The order of the two steps described above is very important. What happens if the order of line 3 and line 4 is reversed? If the modification of the head of the linked list happens first, the result can be seen in Figure 4.5.8. Since the head was the only external reference to the linked list nodes, all of the original nodes are lost and can no longer be accessed.
The next methods that we will implement —
size
, search
, and remove
— are all based on a technique known as linked list traversal. Traversal refers to the process of systematically visiting each node. To do this we use an external reference that starts at the first node in the linked list. As we visit each node, we move the reference to the next node by “traversing” the next reference.To implement the
size
method, we need to traverse the linked list and keep a count of the number of nodes that occurred. Listing 4.5.9 shows the C++ code for counting the number of nodes in the linked list. The external reference is called current
and is initialized to the head of the linked list in line 2. At the start of the process we have not seen any nodes so the count is set to \(0\text{.}\) Lines 4–6 actually implement the traversal. As long as the current reference has not seen the end of the linked list (NULL
), we move current along to the next node via the assignment statement in line 6. Again, the ability to compare a reference to NULL
is very useful. Every time current moves to a new node, we add \(1\) to count
. Finally, count
gets returned after the iteration stops. Figure 4.5.10 shows this process as it proceeds down the linked list.Searching for a value in a linked list implementation of an unordered linked list also uses the traversal technique. As we visit each node in the linked list we will ask whether the data stored there matches the item we are looking for. In this case, however, we may not have to traverse all the way to the end of the linked list. In fact, if we do get to the end of the linked list, that means that the item we are looking for must not be present. Also, if we do find the item, there is no need to continue.
Listing 4.5.11 shows the implementation for the
search
method. As in the size
method, the traversal is initialized to start at the head of the linked list (line 2). As long as there are more nodes to visit and we have not found the item we are looking for, we continue to check the next node. The question in line 4 asks whether the data item is present in the current node. If so, we return true
. When we reach the end of the list and the item has not been found, we return false
.As an example, consider invoking the
search
method looking for the item 17.>>> mylist.search(17); 1
Since 17 is in the linked list, the traversal process needs to move only to the node containing 17. At that point, the variable
found
is set to true
and the while
condition will fail, leading to the return value seen above. This process can be seen in Figure 4.5.12.The
remove
method requires two logical steps. First, we need to traverse the linked list looking for the item we want to remove. Once we find the item (recall that we assume it is present), we must remove it. The first step is very similar to search
. Starting with an external reference set to the head of the linked list, we traverse the links until we discover the item we are looking for. Since we assume that item is present, we know that the iteration will stop before current
gets to NULL
. This means that we can simply use the boolean found
in the condition.When
found
becomes true
, current
will be a reference to the node containing the item to be removed. But how do we remove it? One possibility would be to replace the value of the item with some marker that suggests that the item is no longer present. The problem with this approach is the number of nodes will no longer match the number of items. It would be much better to remove the item by removing the entire node.In order to remove the node containing the item, we need to modify the link in the previous node so that it refers to the node that comes after
current
. Unfortunately, there is no way to go backward in the linked list. Since current
refers to the node ahead of the node where we would like to make the change, it is too late to make the necessary modification.The solution to this dilemma is to use two external references as we traverse down the linked list.
current
will behave just as it did before, marking the current location of the traverse. The new reference, which we will call previous
, will always travel one node behind current
. That way, when current
stops at the node to be removed, previous
will be referring to the proper place in the linked list for the modification.
Listing 4.5.13 shows the complete
remove
method. Lines 2–3 assign initial values to the two references. Note that current
starts out at the linked list head as in the other traversal examples. previous
, however, is assumed to always travel one node behind current. For this reason, previous
starts out with a value of NULL
since there is no node before the head (see Figure 4.5.14). The boolean variable found
will again be used to control the iteration.In lines 6–7 we ask whether the item stored in the current node is the item we wish to remove. If so,
found
can be set to true
. If we do not find the item, previous
and current
must both be moved one node ahead. Again, the order of these two statements is crucial. previous
must first be moved one node ahead to the location of current
. At that point, current
can be moved. This process is often referred to as “inch-worming” as previous
must catch up to current
before current
moves ahead. Figure 4.5.15 shows the movement of previous
and current
as they progress down the linked list looking for the node containing the value 17.Once the searching step of the
remove
has been completed, we need to remove the node from the linked list. Figure 4.5.16 shows the link that must be modified. However, there is a special case that needs to be addressed. If the item to be removed happens to be the first item in the linked list, then current
will reference the first node in the linked list. This also means that previous
will be NULL
. We said earlier that previous
would be referring to the node whose next reference needs to be modified in order to complete the remove. In this case, it is not previous
but rather the head of the linked list that needs to be changed (see Figure 4.5.17).Line 12 allows us to check whether we are dealing with the special case described above. If
previous
did not move, it will still have the value NULL
when the boolean found
becomes true
. In that case (line 13) the head of the linked list is modified to refer to the node after the current node, in effect removing the first node from the linked list. However, if previous is not NULL
, the node to be removed is somewhere down the linked list structure. In this case the previous reference is providing us with the node whose next reference must be changed. Line 15 uses the setNext
method from previous
to accomplish the removal. Note that in both cases the destination of the reference change is current.getNext()
. One question that often arises is whether the two cases shown here will also handle the situation where the item to be removed is in the last node of the linked list. We leave that for you to consider.You can try out the
UnorderedList
class in Listing 4.5.18.The remaining methods
append
, insert
, index
, and pop
are left as exercises. Remember that each of these must take into account whether the change is taking place at the head of the linked list or someplace else. Also, insert
, index
, and pop
require that we name the positions of the linked list. We will assume that position names are integers starting with 0.You have attempted of activities on this page.