Data Structures and Algorithms for Engineers
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1 Data Structures and Algorithms for Engineers David Vernon Carnegie Mellon University Africa Data Structures and Algorithms for Engineers 1 Carnegie Mellon University Africa
2 Lecture 9 Containers and Dictionaries Containers Dictionaries List ADT Array implementation Linked list implementation Data Structures and Algorithms for Engineers 2 Carnegie Mellon University Africa
3 Aside: Linked Lists Using Pointers Data Structures and Algorithms for Engineers 3 Carnegie Mellon University Africa
4 Why Pointer-Based Implementation? Linked lists to avoid excessive data movement from insertions and deletions Elements are not necessarily stored in contiguous memory locations Makes efficient use of memory space allocate space when needed Deallocate space and return it to the free store Data Structures and Algorithms for Engineers 4 Carnegie Mellon University Africa
5 A Linked List A linked list is a list in which the order of the components is determined by an explicit link member in each node The nodes are structs each node contains a component member and also a link member that gives the location of the next node in the list Data Structures and Algorithms for Engineers 5 Carnegie Mellon University Africa
6 Pointer-Based (Dynamic) Linked List A pointer-based linked list is a dynamic linked list where nodes are linked together by pointers, and an external pointer (or head pointer) points to the first node in the list Data Structures and Algorithms for Engineers 6 Carnegie Mellon University Africa
7 Nodes can be located anywhere in memory The link member holds the memory address of (or a reference to) of the next node in the list Data Structures and Algorithms for Engineers 7 Carnegie Mellon University Africa
8 Declarations for a Dynamic Linked List // Type DECLARATIONS struct NodeType { char info; NodeType* next; typedef NodeType* NodePtr; // Variable DECLARATIONS NodePtr head; NodePtr ptr; Data Structures and Algorithms for Engineers 8 Carnegie Mellon University Africa
9 Pointer Dereferencing and Member Selection ptr ptr A info. next ptr is a pointer to a node *ptr ptr A info. next *ptr is the entire node pointed to by ptr ptr A info. next (*ptr).info ~ ptr->info (*ptr).next ~ ptr->next ptr A info. next ptr->info is a node member ptr->next is a node member Data Structures and Algorithms for Engineers 9 Carnegie Mellon University Africa
10 Traversing a Linked List //PRE: head points to a dynamic linked list ptr = head ; while (ptr!= NULL) { cout << ptr->info ; // Or, do something else with node *ptr ptr = ptr->next ; Data Structures and Algorithms for Engineers 10 Carnegie Mellon University Africa
11 Traversing a Linked List //PRE: head points to a dynamic linked list ptr = head ; while (ptr!= NULL) { cout << ptr->info ; // Or, do something else with node *ptr ptr = ptr->next ; Data Structures and Algorithms for Engineers 11 Carnegie Mellon University Africa
12 Traversing a Linked List //PRE: head points to a dynamic linked list ptr = head ; while (ptr!= NULL) { cout << ptr->info ; // Or, do something else with node *ptr ptr = ptr->next ; Data Structures and Algorithms for Engineers 12 Carnegie Mellon University Africa
13 Traversing a Linked List //PRE: head points to a dynamic linked list ptr = head ; while (ptr!= NULL) { cout << ptr->info ; // Or, do something else with node *ptr ptr = ptr->next ; Data Structures and Algorithms for Engineers 13 Carnegie Mellon University Africa
14 Traversing a Linked List //PRE: head points to a dynamic linked list ptr = head ; while (ptr!= NULL) { cout << ptr->info ; // Or, do something else with node *ptr ptr = ptr->next ; Data Structures and Algorithms for Engineers 14 Carnegie Mellon University Africa
15 Traversing a Linked List //PRE: head points to a dynamic linked list ptr = head ; while (ptr!= NULL) { cout << ptr->info ; // Or, do something else with node *ptr ptr = ptr->next ; Data Structures and Algorithms for Engineers 15 Carnegie Mellon University Africa
16 Traversing a Linked List //PRE: head points to a dynamic linked list ptr = head ; while (ptr!= NULL) { cout << ptr->info ; // Or, do something else with node *ptr ptr = ptr->next ; Data Structures and Algorithms for Engineers 16 Carnegie Mellon University Africa
17 Traversing a Linked List //PRE: head points to a dynamic linked list ptr = head ; while (ptr!= NULL) { cout << ptr->info ; // Or, do something else with node *ptr ptr = ptr->next ; Data Structures and Algorithms for Engineers 17 Carnegie Mellon University Africa
18 Traversing a Linked List //PRE: head points to a dynamic linked list ptr = head ; while (ptr!= NULL) { cout << ptr->info ; // Or, do something else with node *ptr ptr = ptr->next ; Data Structures and Algorithms for Engineers 18 Carnegie Mellon University Africa
19 Traversing a Linked List //PRE: head points to a dynamic linked list ptr = head ; while (ptr!= NULL) { cout << ptr->info ; // Or, do something else with node *ptr ptr = ptr->next ; Data Structures and Algorithms for Engineers 19 Carnegie Mellon University Africa
20 Traversing a Linked List //PRE: head points to a dynamic linked list ptr = head ; while (ptr!= NULL) { cout << ptr->info ; // Or, do something else with node *ptr ptr = ptr->next ; Data Structures and Algorithms for Engineers 20 Carnegie Mellon University Africa
21 Traversing a Linked List //PRE: head points to a dynamic linked list ptr = head ; while (ptr!= NULL) { cout << ptr->info ; // Or, do something else with node *ptr ptr = ptr->next ; Data Structures and Algorithms for Engineers 21 Carnegie Mellon University Africa
22 Using Operator new If memory is available in an area called the free store (or heap), operator new allocates the requested object, and returns a pointer to the memory allocated. The dynamically allocated object exists until the delete operator destroys it. Data Structures and Algorithms for Engineers 22 Carnegie Mellon University Africa 22
23 Inserting a Node at the Front of a List Data Structures and Algorithms for Engineers 23 Carnegie Mellon University Africa
24 Inserting a Node at the Front of a List Data Structures and Algorithms for Engineers 24 Carnegie Mellon University Africa
25 Inserting a Node at the Front of a List Data Structures and Algorithms for Engineers 25 Carnegie Mellon University Africa
26 Inserting a Node at the Front of a List Data Structures and Algorithms for Engineers 26 Carnegie Mellon University Africa
27 Inserting a Node at the Front of a List Data Structures and Algorithms for Engineers 27 Carnegie Mellon University Africa
28 Inserting a Node at the Front of a List Data Structures and Algorithms for Engineers 28 Carnegie Mellon University Africa
29 Using Operator delete The object currently pointed to by the pointer is deallocated, and the pointer is considered undefined. The object s memory is returned to the free store. Data Structures and Algorithms for Engineers 29 Carnegie Mellon University Africa 29
30 Deleting the first node from a list Data Structures and Algorithms for Engineers 30 Carnegie Mellon University Africa
31 Deleting the first node from a list Data Structures and Algorithms for Engineers 31 Carnegie Mellon University Africa
32 Deleting the first node from a list Data Structures and Algorithms for Engineers 32 Carnegie Mellon University Africa
33 Deleting the first node from a list Data Structures and Algorithms for Engineers 33 Carnegie Mellon University Africa
34 Deleting the first node from a list Data Structures and Algorithms for Engineers 34 Carnegie Mellon University Africa
35 End of Aside: Linked Lists Using Pointers Data Structures and Algorithms for Engineers 35 Carnegie Mellon University Africa
36 Header node element pointer NULL pointer List Data Structures and Algorithms for Engineers 36 Carnegie Mellon University Africa
37 Header node An empty list!!! List Data Structures and Algorithms for Engineers 37 Carnegie Mellon University Africa
38 List window To place the window at this position we provide a link to the previous node (this is why we need a header node) Data Structures and Algorithms for Engineers 38 Carnegie Mellon University Africa
39 List window To place the window at end of the list we provide a link to the last node Data Structures and Algorithms for Engineers 39 Carnegie Mellon University Africa
40 List window To insert a node at this window position we create the node and re-arrange the links Data Structures and Algorithms for Engineers 40 Carnegie Mellon University Africa
41 List window temp To insert a node at this window position we create the node and re-arrange the links Data Structures and Algorithms for Engineers 41 Carnegie Mellon University Africa
42 List window To delete a node at this window position we re-arrange the links and free the node Data Structures and Algorithms for Engineers 42 Carnegie Mellon University Africa
43 temp List window To delete a node at this window position we re-arrange the links and free the node Data Structures and Algorithms for Engineers 43 Carnegie Mellon University Africa
44 List window To delete a node at this window position we re-arrange the links and free the node Data Structures and Algorithms for Engineers 44 Carnegie Mellon University Africa
45 type elementtype type LIST type Boolean type windowtype Data Structures and Algorithms for Engineers 45 Carnegie Mellon University Africa
46 /* linked-list implementation of LIST ADT */ #include <stdio.h> #include <math.h> #include <.h> #define FALSE 0 #define TRUE 1 typedef struct { int ; char *; ELEMENT_TYPE; Data Structures and Algorithms for Engineers 46 Carnegie Mellon University Africa
47 typedef struct node *NODE_TYPE; typedef struct node{ ELEMENT_TYPE element; NODE_TYPE next; NODE; typedef NODE_TYPE LIST_TYPE; typedef NODE_TYPE WINDOW_TYPE; Data Structures and Algorithms for Engineers 47 Carnegie Mellon University Africa
48 /*** position following last element in a list ***/ WINDOW_TYPE end(list_type *list) { WINDOW_TYPE q; q = *list; if (q == NULL) { error( non-existent list ); else { while (q->next!= NULL) { return(q); q = q->next; *list q Data Structures and Algorithms for Engineers 48 Carnegie Mellon University Africa
49 /*** position following last element in a list ***/ WINDOW_TYPE end(list_type *list) { WINDOW_TYPE q; q = *list; if (q == NULL) { error( non-existent list ); else { while (q->next!= NULL) { return(q); q = q->next; *list q Data Structures and Algorithms for Engineers 49 Carnegie Mellon University Africa
50 /*** position following last element in a list ***/ WINDOW_TYPE end(list_type *list) { WINDOW_TYPE q; q = *list; if (q == NULL) { error( non-existent list ); else { while (q->next!= NULL) { return(q); q = q->next; *list q Data Structures and Algorithms for Engineers 50 Carnegie Mellon University Africa
51 /*** empty a list ***/ WINDOW_TYPE empty(list_type *list) { WINDOW_TYPE p, q; if (*list!= NULL) { /* list exists: delete all nodes including header */ q = *list; while (q->next!= NULL) { p = q; q = q->next; free(p); free(q) *list q Data Structures and Algorithms for Engineers 51 Carnegie Mellon University Africa
52 /*** empty a list ***/ WINDOW_TYPE empty(list_type *list) { WINDOW_TYPE p, q; if (*list!= NULL) { /* list exists: delete all nodes including header */ q = *list; while (q->next!= NULL) { p = q; q = q->next; free(p); free(q) *list p q Data Structures and Algorithms for Engineers 52 Carnegie Mellon University Africa
53 /*** empty a list ***/ WINDOW_TYPE empty(list_type *list) { WINDOW_TYPE p, q; if (*list!= NULL) { /* list exists: delete all nodes including header */ q = *list; while (q->next!= NULL) { p = q; q = q->next; free(p); free(q) *list p q Data Structures and Algorithms for Engineers 53 Carnegie Mellon University Africa
54 /*** empty a list ***/ WINDOW_TYPE empty(list_type *list) { WINDOW_TYPE p, q; if (*list!= NULL) { /* list exists: delete all nodes including header */ q = *list; while (q->next!= NULL) { p = q; q = q->next; free(p); free(q) *list p q Data Structures and Algorithms for Engineers 54 Carnegie Mellon University Africa
55 /*** empty a list ***/ WINDOW_TYPE empty(list_type *list) { WINDOW_TYPE p, q; if (*list!= NULL) { /* list exists: delete all nodes including header */ q = *list; while (q->next!= NULL) { p = q; q = q->next; free(p); free(q) *list p q Data Structures and Algorithms for Engineers 55 Carnegie Mellon University Africa
56 /*** empty a list ***/ WINDOW_TYPE empty(list_type *list) { WINDOW_TYPE p, q; if (*list!= NULL) { /* list exists: delete all nodes including header */ q = *list; while (q->next!= NULL) { p = q; q = q->next; free(p); free(q) *list p q Data Structures and Algorithms for Engineers 56 Carnegie Mellon University Africa
57 /*** empty a list ***/ WINDOW_TYPE empty(list_type *list) { WINDOW_TYPE p, q; if (*list!= NULL) { /* list exists: delete all nodes including header */ q = *list; while (q->next!= NULL) { p = q; q = q->next; free(p); free(q) *list p q Data Structures and Algorithms for Engineers 57 Carnegie Mellon University Africa
58 /*** empty a list ***/ WINDOW_TYPE empty(list_type *list) { WINDOW_TYPE p, q; if (*list!= NULL) { /* list exists: delete all nodes including header */ q = *list; while (q->next!= NULL) { p = q; q = q->next; free(p); free(q) *list p q Data Structures and Algorithms for Engineers 58 Carnegie Mellon University Africa
59 /* now, create a new empty one with a header node */ if ((q = (NODE_TYPE) malloc(sizeof(node))) == NULL) error( function empty: unable to allocate memory ); else { q->next = NULL; *list = q; return(end(list)); *list p q Data Structures and Algorithms for Engineers 59 Carnegie Mellon University Africa
60 /* now, create a new empty one with a header node */ if ((q = (NODE_TYPE) malloc(sizeof(node))) == NULL) error( function empty: unable to allocate memory ); else { q->next = NULL; *list = q; return(end(list)); *list p q Data Structures and Algorithms for Engineers 60 Carnegie Mellon University Africa
61 /* now, create a new empty one with a header node */ if ((q = (NODE_TYPE) malloc(sizeof(node))) == NULL) error( function empty: unable to allocate memory ); else { q->next = NULL; *list = q; return(end(list)); *list p q Data Structures and Algorithms for Engineers 61 Carnegie Mellon University Africa
62 /*** test to see if a list is empty ***/ int is_empty(list_type *list) { WINDOW_TYPE q; q = *list; if (q == NULL) { error( non-existent list ); else { if (q->next == NULL) { return(true); *list else return(false); q *list q Data Structures and Algorithms for Engineers 62 Carnegie Mellon University Africa
63 /*** position at first element in a list ***/ WINDOW_TYPE first(list_type *list) { if (is_empty(list) == FALSE) { return(*list); else return(end(list)); *list end(list) Data Structures and Algorithms for Engineers 63 Carnegie Mellon University Africa
64 /*** position at next element in a list ***/ WINDOW_TYPE next(window_type w, LIST_TYPE *list) { if (w == last(list)) { return(end(list)); else if (w == end(list)) { error( can t find next after end of list ); else { return(w->next); *list w W->next end(list) Data Structures and Algorithms for Engineers 64 Carnegie Mellon University Africa
65 /*** position at previous element in a list ***/ WINDOW_TYPE previous(window_type w, LIST_TYPE *list) { WINDOW_TYPE p, q; if (w!= first(list)) { p = first(list); while (p->next!= w) { p = p->next; if (p == NULL) break; /* trap this to ensure */ /* we don t dereference */ if (p!= NULL) /* a null pointer in the */ return(p); /* while condition */ *list p Data Structures and Algorithms for Engineers 65 Carnegie Mellon University Africa w
66 /*** position at previous element in a list ***/ WINDOW_TYPE previous(window_type w, LIST_TYPE *list) { WINDOW_TYPE p, q; if (w!= first(list)) { p = first(list); while (p->next!= w) { p = p->next; if (p == NULL) break; /* trap this to ensure */ /* we don t dereference */ if (p!= NULL) /* a null pointer in the */ return(p); /* while condition */ *list p Data Structures and Algorithms for Engineers 66 Carnegie Mellon University Africa w
67 else { error( can t find previous to a non-existent node ); else { error( can t find previous before first element of list ); return(w); Data Structures and Algorithms for Engineers 67 Carnegie Mellon University Africa
68 /*** position at last element in a list ***/ WINDOW_TYPE last(list_type *list) { WINDOW_TYPE p, q; if (*list == NULL) { error( non-existent list ); else { /* list exists: find last node */ Data Structures and Algorithms for Engineers 68 Carnegie Mellon University Africa
69 /* list exists: find last node */ if (is_empty(list)) { p = end(list); else { p = *list; q = p->next; while (q->next!= NULL) { p = q; return(p); q = q->next; *list p Data Structures and Algorithms for Engineers 69 Carnegie Mellon University Africa q
70 /* list exists: find last node */ if (is_empty(list)) { p = end(list); else { p = *list; q = p->next; while (q->next!= NULL) { p = q; return(p); q = q->next; *list Data Structures and Algorithms for Engineers 70 Carnegie Mellon University Africa p q
71 /* list exists: find last node */ if (is_empty(list)) { p = end(list); else { p = *list; q = p->next; while (q->next!= NULL) { p = q; return(p); q = q->next; *list Data Structures and Algorithms for Engineers 71 Carnegie Mellon University Africa p q
72 /*** insert an element in a list ***/ LIST_TYPE *insert(element_type e, WINDOW_TYPE w, WINDOW_TYPE temp; LIST_TYPE *list) { if (*list == NULL) { error( cannot insert in a non-existent list ); Data Structures and Algorithms for Engineers 72 Carnegie Mellon University Africa
73 else { /* insert it after w */ temp = w->next; if ((w->next = (NODE_TYPE) malloc(sizeof(node))) = NULL) error( function insert: unable to allocate memory ); else { w->next->element = e; w->next->next = temp; return(list); *list w temp Data Structures and Algorithms for Engineers 73 Carnegie Mellon University Africa
74 else { /* insert it after w */ temp = w->next; if ((w->next = (NODE_TYPE) malloc(sizeof(node))) = NULL) error( function insert: unable to allocate memory ); else { w->next->element = e; w->next->next = temp; return(list); *list w temp Data Structures and Algorithms for Engineers 74 Carnegie Mellon University Africa
75 else { /* insert it after w */ temp = w->next; if ((w->next = (NODE_TYPE) malloc(sizeof(node))) = NULL) error( function insert: unable to allocate memory ); else { w->next->element = e; w->next->next = temp; return(list); e. e. *list w temp Data Structures and Algorithms for Engineers 75 Carnegie Mellon University Africa
76 /*** delete an element from a list ***/ LIST_TYPE *delete(window_type w, LIST_TYPE *list) { WINDOW_TYPE p; if (*list == NULL) { error( cannot delete from a non-existent list ); else { p = w->next; /* node to be deleted */ w->next = w->next->next; /* rearrange the links */ free(p); /* delete the node */ return(list); *list w p Data Structures and Algorithms for Engineers 76 Carnegie Mellon University Africa
77 /*** delete an element from a list ***/ LIST_TYPE *delete(window_type w, LIST_TYPE *list) { WINDOW_TYPE p; if (*list == NULL) { error( cannot delete from a non-existent list ); else { p = w->next; /* node to be deleted */ w->next = w->next->next; /* rearrange the links */ free(p); /* delete the node */ return(list); *list w p Data Structures and Algorithms for Engineers 77 Carnegie Mellon University Africa
78 /*** delete an element from a list ***/ LIST_TYPE *delete(window_type w, LIST_TYPE *list) { WINDOW_TYPE p; if (*list == NULL) { error( cannot delete from a non-existent list ); else { p = w->next; /* node to be deleted */ w->next = w->next->next; /* rearrange the links */ free(p); /* delete the node */ return(list); *list w p Data Structures and Algorithms for Engineers 78 Carnegie Mellon University Africa
79 /*** retrieve an element from a list ***/ ELEMENT_TYPE retrieve(window_type w, LIST_TYPE *list) { WINDOW_TYPE p; if (*list == NULL) { error( cannot retrieve from a non-existent list ); else { return(w->next->element); *list w Data Structures and Algorithms for Engineers 79 Carnegie Mellon University Africa
80 /*** print all elements in a list ***/ int print(list_type *list) { WINDOW_TYPE w; ELEMENT_TYPE e; printf( Contents of list: \n ); w = first(list); while (w!= end(list)) { e = retrieve(window_type w, LIST_TYPE *list); printf( %d %s\n, e., e.); w = next(w, list); printf( ---\n ); return(0); Data Structures and Algorithms for Engineers 80 Carnegie Mellon University Africa
81 /*** error handler: print message passed as argument and take appropriate action ***/ int error(char *s); { printf( Error: %s\n, s); exit(0); Data Structures and Algorithms for Engineers 81 Carnegie Mellon University Africa
82 /*** assign values to an element ***/ int assign_element_values(element_type *e, int, char s[]) { e-> = (char *) malloc(sizeof(char) * (strlen(s)+1)); strcpy(e->, s); e-> = ; e Data Structures and Algorithms for Engineers 82 Carnegie Mellon University Africa
83 /*** assign values to an element ***/ int assign_element_values(element_type *e, int, char s[]) { e-> = (char *) malloc(sizeof(char) * (strlen(s)+1)); strcpy(e->, s); e-> = ; e Data Structures and Algorithms for Engineers 83 Carnegie Mellon University Africa
84 /*** main driver routine ***/ WINDOW_TYPE w; ELEMEN_TYPE e; LIST_TYPE list; int i; empty(&list); print(&list); assign_element_values(&e, 1, String A ); w = first(&list); insert(e, w, &list); print(&list); Data Structures and Algorithms for Engineers 84 Carnegie Mellon University Africa
85 assign_element_values(&e, 2, String B ); insert(e, w, &list); print(&list); assign_element_values(&e, 3, String C ); insert(e, last(&list), &list); print(&list); assign_element_values(&e, 4, String D ); w = next(last(&list), &list); insert(e, w, &list); print(&list); Data Structures and Algorithms for Engineers 85 Carnegie Mellon University Africa
86 w = previous(w, &list); delete(w, &list); print(&list); Data Structures and Algorithms for Engineers 86 Carnegie Mellon University Africa
87 Key points: All we changed was the implementation of the data-structure and the access routines But by keeping the interface to the access routines the same as before, these changes are transparent to the user And we didn t have to make any changes in the main function which was actually manipulating the list Data Structures and Algorithms for Engineers 87 Carnegie Mellon University Africa
88 Key points: In a real software system where perhaps hundreds (or thousands) of people are using these list primitives, this transparency is critical We couldn t have achieved it if we manipulated the data-structure directly Data Structures and Algorithms for Engineers 88 Carnegie Mellon University Africa
89 Possible problems with the implementation: we have to run the length of the list in order to find the end (i.e. end(l) is O(n)) there is a (small) overhead in using the pointers On the other hand, the list can now grow as large as necessary, without having to predefine the maximum size Data Structures and Algorithms for Engineers 89 Carnegie Mellon University Africa
90 List We can also have a doubly-linked list; this removes the need to have a header node and make finding the previous node more efficient Data Structures and Algorithms for Engineers 90 Carnegie Mellon University Africa
91 List Lists can also be circular Data Structures and Algorithms for Engineers 91 Carnegie Mellon University Africa
92 Comparison: Linked Lists vs. Arrays Relative advantages of linked lists Overflow on linked structures can never occur unless memory is actually full Insertions and deletions are simpler than for contiguous (array) lists With large records, moving pointers is easier and faster than moving the items themselves Data Structures and Algorithms for Engineers 92 Carnegie Mellon University Africa
93 Comparison: Linked Lists vs. Arrays Relative advantages of arrays Linked structures require extra space for storing pointer fields Linked lists do not allow efficient random access to items Arrays allow better memory locality and cache performance than random pointer jumping Dynamic memory allocation provides us with flexibility on how and where to use limited storage resources Data Structures and Algorithms for Engineers 93 Carnegie Mellon University Africa
94 Comparison: Linked Lists vs. Arrays Both lists and arrays can be thought of a recursive objects: Lists: chopping off the first element of a linked list leaves a smaller linked list Lists are recursive objects Splitting the first k elements off an n element array give two smaller arrays, of size k and n-k, respectively Arrays are recursive objects This shows us that lists are amenable to efficient (recursive) divide-andconquer algorithms, such as binary search and quicksort Data Structures and Algorithms for Engineers 94 Carnegie Mellon University Africa
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