None.

## Pointers not values, search in linked lists

Recall that, earlier in the semester, we discussed that where arrays are concerned, it's "indices not values". With linked lists we have something similar: pointers not values. As with arrays, when this becomes really important is search. Suppose we want to write a "search" function for linked lists? What should we return if the search is successful? What should we return if a search is unsuccessful? In both cases, the best thing to do is to return a pointer. If the search is successful, we return a pointer to a node in the list whose data matches what we're searching for. If the search is unsuccessful, we return a NULL pointer. Thus, the search prototype will be (in this example for lists with data of type `double`):
`Node* search(dobule value, Node* L);`
As we discussed with "search" in the case of arrays, it's best to have a function `bool match(double a, double b);` — where the types of the arguments a and b match the type of the data in the Node — that takes care of determining whether the data in an individual Node matches the value being searched for.

As an exercise, try downloading Ex0.cpp and see if you can provide a definition for the "search" function. If you've done it properly, the program should run like this:

```~/\$ ./prog
34.2 , 54.98 , 92.0, 83.9;
search 54.98
Found!
search 54.88
search 12
quit```
I'll provide you with two solutions, an iterative solution and a recursive solution.

## Insert in order

One of the nice things about a linked list is that it's pretty easy to insert new nodes anywhere you'd like. If there's a new value you've read in, you might not necessarily want to add it to the front of the list or to the back. You might, for example, want to insert it in a list in a way that mantains sorted order. Let's consider a function `insert_in_order(val,L)` that will insert a new value `val` into `L` so that sorted order is maintained. Here's what we need to do in pictures:
 Start: We want to add `val` to the list `L`. Move `p` to point to the node after which `val` should be added. Create the new node we want, with the proper `data` and `next` values. ```Node *T = new Node; T->data = val; T->next = p->next;``` Splice our new node in after the node `p` points to. `p->next = T;` Done!
Now, how do we make that work in C++ code? First we need to "Move `p` to point to the node after which we want to insert our new node".
 Attempt 1: ``` Node *p = L; while(p->next->data < val) p = p->next; add2front(val,p->next);``` Commentary: What makes `p` special is that it's the first node in your list whose next node has a bigger data value than `val`. That's what we're looking for here. The only problem is that this'll crash if `val` is bigger than everything currently in the list. To deal with this, we should also stop moving `p` if it's the last node in the list - i.e. if `p->next` is `NULL`. Attempt 2: ``` Node *p = L; while(p->next != NULL && p->next->data < val) p = p->next; add2front(val,p->next);``` Commentary: This works like a champ, but it contains the hidden assumption that `val` will never need to come before the first node. Attempt 3: ```if (L->data < val) { Node *p = L; while(p->next != NULL && p->next->data < val) p = p->next; add2front(val,p->next); } else add2front(val,L);``` Commentary: This is fine, except that it crashes if `L` is the empty list, because the test `L->data` implicitly assumes that `L` is really pointing to something! Success! ```if (L != NULL && L->data < val) { Node *p = L; while(p->next != NULL && p->next->data < val) p = p->next; add2front(val,p->next); } else add2front(val,L);``` Commentary: This does exactly what we want, in all cases!
Now, let's compare the iterative versus the recursive version of the `insert_in_order` function:
 ```void insertinorder(double val, Node* &L) { if (L != NULL && L->data < val) insertinorder(val,L->next); else add2front(val,L); }``` ```void insertinorder(double val, Node* &L) { if (L != NULL && L->data < val) { Node *p = L; while(p->next != NULL && p->next->data < val) p = p->next; add2front(val,p->next); } else add2front(val,L); }```
You can do this stuff quite elegantly with recursion!

## Sorting

With our `insertinorder` we can sort stuff pretty easily with linked lists. For example, if you want to read in a bunch of values and put them in sorted order, you can simply put them in a list as you read them using `insertinorder`, and when you're done, you'll have a sorted list of values. Not bad, eh? Of course, as we know from selection sort there are many, many different "orders" you can put things into when you sort. If you recall, we used the `before(a,b)` function to determine whether element `a` must come before element `b` in sorted order. We really ought to write `insertinorder` so it relies on a "before" function as well. This program uses linked lists and `insertinorder` with a "before" function to read in words from the user and write them back sorted by incresing length, with ties broken by alphabetical order. Here's an example of the program in action:
```Enter words, terminated with a semi-colon :
the quick brown fox jumped over the lazy dog ;
dog fox the the lazy over brown quick jumped```

## Sorting existing lists

Suppose that you already have a list and it's not in sorted order. You could easily create a sorted copy of the list by moving through you list a node at a time and calling `insertinorder` for that node's data.
```Node* sortedcopy(Node* L)
{
Node* S = NULL;
for(Node* p = L; p != NULL; p = p->next)
insertinorder(p->data,S);
return S;
}```
This function returns a copy of the original list in sorted order.

## Problems

1. Write a program that reads in commands from the user, which are quit, add x, and print. Each time the add x command is given, the actual number (as opposed to x) is stored. Each time the print command is given, all the numbers added thus far are printed out in sorted order. I'll leave it to you to guess what the quit command does!
2. Modify the `insertinorder` function from above so that duplicate values are not inserted, but rather simply ignored. Thus, if used on the example code in which words are entered, only unique words would appear — no duplicates.
3. Write a program that reads in a collection of words (comma-separated, semicolon-terminated) and then prints out each word (order not important) along with the number of times that word was entered. Here's a sample run:
```~/\$ ./prog
hi , bye , yo , ciao , hi , hallo , yo , sianara ;
sinara 1
hallo 1
ciao 1
yo 2
bye 1
hi 2```