more on data structures in c cs-2301 b-term 20081 more on lists and trees introduction to hash...

Post on 15-Jan-2016

224 Views

Category:

Documents

1 Downloads

Preview:

Click to see full reader

TRANSCRIPT

More on Data Structures in C

CS-2301 B-term 2008 1

More on Lists and TreesIntroduction to Hash Tables

CS-2301, System Programming for Non-majors

(Slides include materials from The C Programming Language, 2nd ed., by Kernighan and Ritchie and from C: How to Program, 5th ed., by Deitel and Deitel)

More on Data Structures in C

CS-2301 B-term 2008 2

Linked List (review)

• Linear data structure

• Easy to grow and shrink

• Easy to add and delete items

• Time to search for an item – O(n)

More on Data Structures in C

CS-2301 B-term 2008 3

Linked List (review)

• Linear data structure

• Easy to grow and shrink

• Easy to add and delete items

• Time to search for an item – O(n)

“Big-O

” notat

ion:–

means “

order of”

More on Data Structures in C

CS-2301 B-term 2008 4

Definition — Big-O“Of the order of …”

• A characterization of the number of operations in an algorithm in terms of the number of data items involved

• O(n) means that the number of operations to complete the algorithm is proportional to n

• E.g., searching a list with n items requires, on average, n/2 comparisons with payloads

More on Data Structures in C

CS-2301 B-term 2008 5

Big-O (continued)

• O(n): proportional to n – i.e., linear• O(n2): proportional to n2 – i.e., quadratic• O(kn) – proportional to kn – i.e., exponential• …• O(log n) – proportional to log n – i.e.,

sublinear• O(n log n)

• Worse than O(n), better than O(n2)

• O(1) – independent of n; i.e., constant

More on Data Structures in C

CS-2301 B-term 2008 6

Anecdote & Questions:–

• In the design of electronic adders, what is the order of the carry-propagation?

• What is the order of floating point divide?

• What is the order of floating point square root?

• What program have we studied in this course that is O(2n)? i.e., exponential?

More on Data Structures in C

CS-2301 B-term 2008 7

Questions on Big-O?

More on Data Structures in C

CS-2301 B-term 2008 8

Back to Linked List Review

• Linear data structure

• Easy to grow and shrink

• Easy to add and delete items

• Time to search for an item – O(n)

More on Data Structures in C

CS-2301 B-term 2008 9

Linked List (continued)

payload

nextpayload

nextpayload

next

payload

next

struct listItem *head;

More on Data Structures in C

CS-2301 B-term 2008 10

Doubly-Linked List (review)

prev next

payload

prev next

payloadprev next

payload

prev next

payload

struct listItem *head, *tail;

More on Data Structures in C

CS-2301 B-term 2008 11

AddAfter(item *p, item *new)

Simple linked list{ new -> next =

p -> next;p -> next = new;

}

Doubly-linked list{ new -> next =

p -> next;new -> prev =

p->next->prev; p -> next =

p->next->prev = new;

}

More on Data Structures in C

CS-2301 B-term 2008 12

AddAfter(item *p, item *new)

Simple linked list{ new -> next =

p -> next;p -> next = new;

}

Doubly-linked list{ new -> next = p -> next;

new -> prev = p; p -> next -> prev = new;p -> next = new;}

prev next

payloadprev next

payload

prev next

payload

More on Data Structures in C

CS-2301 B-term 2008 13

AddAfter(item *p, item *new)

Simple linked list{ new -> next =

p -> next;p -> next = new;

}

Doubly-linked list{ new -> next = p -> next;

new -> prev = p; p -> next -> prev = new;p -> next = new;

}

prev next

payloadprev next

payload

prev next

payload

More on Data Structures in C

CS-2301 B-term 2008 14

AddAfter(item *p, item *new)

Simple linked list{ new -> next =

p -> next;p -> next = new;

}

Doubly-linked list{ new -> next = p -> next;

new -> prev = p; p -> next -> prev = new;p -> next = new;

}

prev next

payloadprev next

payload

prev next

payload

More on Data Structures in C

CS-2301 B-term 2008 15

AddAfter(item *p, item *new)

Simple linked list{ new -> next =

p -> next;p -> next = new;

}

Doubly-linked list{ new -> next = p -> next;

new -> prev = p; p -> next -> prev = new;p -> next = new;

}

prev next

payloadprev next

payload

prev next

payload

More on Data Structures in C

CS-2301 B-term 2008 16

deleteNext(item *p)

Simple linked list{ if (p->next != NULL)

p->next = p->next->next;

}

Doubly-linked list• Complicated• Easier to deleteItem

More on Data Structures in C

CS-2301 B-term 2008 17

deleteItem(item *p)

Simple linked list• Not possible without

having a pointer to previous item!

Doubly-linked list{ if(p->next != NULL)

p->next->prev = p->prev; if(p->prev != NULL)p->prev->next = p->next;

}

prev next

payloadprev next

payload

prev next

payload

More on Data Structures in C

CS-2301 B-term 2008 18

deleteItem(item *p)

Simple linked list• Not possible without

having a pointer to previous item!

Doubly-linked list{ if(p->next != NULL)

p->next->prev = p->prev; if(p->prev != NULL)p->prev->next = p->next;

}

prev next

payloadprev next

payload

prev next

payload

More on Data Structures in C

CS-2301 B-term 2008 19

deleteItem(item *p)

Simple linked list• Not possible without

having a pointer to previous item!

Doubly-linked list{ if(p->next != NULL)

p->next->prev = p->prev; if(p->prev != NULL)p->prev->next = p->next;

}

prev next

payloadprev next

payload

prev next

payload

More on Data Structures in C

CS-2301 B-term 2008 20

Special Cases of Linked Lists

• Queue:– – Items always added to tail– Items always removed from head

• Stack:– – Items always added to head– Items always removed from head

More on Data Structures in C

CS-2301 B-term 2008 21

Bubble Sort a Linked List

item *BubbleSort(item *p) {if (p->next != NULL) {

item *q = p->next, *qq = p;for (;q != NULL; qq = q, q = q-

>next)if (p->payload > q->payload){

/*swap p and q */

}p->next = BubbleSort(p->next);

};return p;

}

More on Data Structures in C

CS-2301 B-term 2008 22

Bubble Sort a Linked List

item *BubbleSort(item *p) {if (p->next != NULL) {item *q = p->next, *qq = p;for (;q != NULL; qq = q, q = q->next)if (p->payload > q->payload){item *temp = p->next;p->next = q->next; q->next = temp;qq->next = p; p = q;}p->next = BubbleSort(p->next);};return p;

}

More on Data Structures in C

CS-2301 B-term 2008 23

Potential Exam Questions

• Analyze BubbleSort to determine if it is correct, and fix it if incorrect.

• Hint: you need to define “correct”

• Hint2: you need to define a loop invariant to convince yourself

• Draw a diagram showing the nodes, pointers, and actions of the algorithm

More on Data Structures in C

CS-2301 B-term 2008 24

Observations:–

• What is the order of the Bubble Sort algorithm?

• Answer: O(n2)

• Note that Quicksort is faster• Pages 87 & 110 in Kernighan and Ritchie

• Potential exam question:– why?

More on Data Structures in C

CS-2301 B-term 2008 25

Questions?

More on Data Structures in C

CS-2301 B-term 2008 26

Binary Tree (review)

• A linked list but with two links per item

struct treeItem {type payload;treeItem *left; treeItem *right;

};

left right

payload

left right

payloadleft right

payload

left right

payloadleft right

payloadleft right

payload

left right

payload

More on Data Structures in C

CS-2301 B-term 2008 27

Binary Trees (continued)

• Two-dimensional data structure

• Easy to grow and shrink

• Easy to add and delete items at leaves• More work needed to insert or delete branch nodes

• Search time is O(log n)• If tree is reasonably balanced

• Degenerates to O(n) in worst case if unbalanced

More on Data Structures in C

CS-2301 B-term 2008 28

Order of Traversing Binary Trees

• In-order• Traverse left sub-tree (in-order)• Visit node itself• Traverse right sub-tree (in-order)

• Pre-order• Visit node first• Traverse left sub-tree• Traverse right sub-tree

• Post-order• Traverse left sub-tree• Traverse right sub-tree• Visit node last

More on Data Structures in C

CS-2301 B-term 2008 29

Order of Traversing Binary Trees

• In-order• Traverse left sub-tree (in-order)• Visit node itself• Traverse right sub-tree (in-order)

• Pre-order• Visit node first• Traverse left sub-tree• Traverse right sub-tree

• Post-order• Traverse left sub-tree• Traverse right sub-tree• Visit node last

Homework #5

More on Data Structures in C

CS-2301 B-term 2008 30

Example of Binary Tree

x = (a.real*b.imag - b.real*a.imag) / sqrt(a.real*b.real – a.imag*b.imag)

=

x /

sqrt-

* *

. .

a real b imag

. .

b real a imag

-

More on Data Structures in C

CS-2301 B-term 2008 31

Question

• What kind of traversal order is required for this expression?

• In-order?

• Pre-order?

• Post-order?

More on Data Structures in C

CS-2301 B-term 2008 32

Binary Trees in Compilers

• Used to represent the structure of the compiled program

• Optimizations• Common sub-expression detection

• Code simplification

• Loop unrolling

• Parallelization

• Reductions in strength – e.g., substituting additions for multiplications, etc.

• Many others

More on Data Structures in C

CS-2301 B-term 2008 33

Questions about Trees?

(or about Homework 5?)

More on Data Structures in C

CS-2301 B-term 2008 34

New Challenge

• What if we have a data structure that needs to be accessed by value in constant time?

• I.e., O(log n) is not good enough!

• Need to be able to add or delete items

• Total number of items unknown• But an approximate maximum might be known

More on Data Structures in C

CS-2301 B-term 2008 35

Examples

• Anti-virus scanner

• Symbol table of compiler

• Virtual memory tables in operating system

• Bank account for an individual

More on Data Structures in C

CS-2301 B-term 2008 36

Observation

• Arrays provide constant time access …

• … but you have to know which element you want!

• Also• Not easy to grow or shrink

• Not open-ended

• Can we do better?

More on Data Structures in C

CS-2301 B-term 2008 37

Answer – Hash Table

• Definition:– Hash Table• A data structure comprising an array (for constant time access)

• A set of linked lists (for each array element)

• A hashing function to convert value to array index

• Definition:– Hashing function (or simply hash function)

• A function that takes the value in question and “randomizes” it to produce an index

• So that non-randomness of values does not cause concentration of too many elements around a few indices in array

• See §6.6 in Kernighan & Ritchie

More on Data Structures in C

CS-2301 B-term 2008 38

datanext

Hash Table Structure

item item item item item item item item item item...

datanext data

next

datanextdatanext

datanext

datanextdatanext

datanext

datanextdatanext

datanext

datanext

More on Data Structures in C

CS-2301 B-term 2008 39

Guidelines for Hash Tables

• Lists from each item should be short• I.e., with short search time (approximately constant)

• Size of array should be based on expected # of entries

• Err on large side if possible

• Hashing function• Should “spread out” the values relatively uniformly

• Multiplication and division by prime numbers usually works well

More on Data Structures in C

CS-2301 B-term 2008 40

Example Hashing Function

• P. 144 of K & R

#define HASHSIZE 101

unsigned int hash(char *s) {unsigned int hashval;for (hashval = 0; *s != ‘\0’; s++)

hashval = *s + 31 * hashval;

return hashval % HASHSIZE

}

More on Data Structures in C

CS-2301 B-term 2008 41

Example Hashing Function

• P. 144 of K & R

#define HASHSIZE 101

unsigned int hash(char *s) {unsigned int hashval;for (hashval = 0; *s != ‘\0’; s++)

hashval = *s + 31 * hashval;

return hashval % HASHSIZE

}

Note choice of prime

numbers to “mix it

up”

More on Data Structures in C

CS-2301 B-term 2008 42

Using a Hash Table

struct item *lookup(char *s) {struct item *np;

for (np = hashtab[hash(s)]; np != NULL;np = np -> next)

if (strcmp(s, np->data) == 0)return np; /*found*/

return NULL; /* not found */

}

More on Data Structures in C

CS-2301 B-term 2008 43

Using a Hash Table

struct item *lookup(char *s) {struct item *np;

for (np = hashtab[hash(s)]; np != NULL;np = np -> next)

if (strcmp(s, np->data) == 0)return np; /*found*/

return NULL; /* not found */

}

Hash table is indexed

by hash value of s

More on Data Structures in C

CS-2301 B-term 2008 44

Using a Hash Table

struct item *lookup(char *s) {struct item *np;

for (np = hashtab[hash(s)]; np != NULL;np = np -> next)

if (strcmp(s, np->data) == 0)return np; /*found*/

return NULL; /* not found */

}

Traverse the linked

list to find item s

More on Data Structures in C

CS-2301 B-term 2008 45

Using a Hash Table (continued)

struct item *addItem(char *s, …) {struct item *np;unsigned int hv;

if ((np = lookup(s)) == NULL) {np = malloc(item);/* fill in s and data */np -> next = hashtab[hv = hash(s)];hashtab[hv] = np;

};

return np;}

More on Data Structures in C

CS-2301 B-term 2008 46

Using a Hash Table (continued)

struct item *addItem(char *s, …) {struct item *np;unsigned int hv;

if ((np = lookup(s)) == NULL) {np = malloc(item);/* fill in s and data */np -> next = hashtab[hv = hash(s)];hashtab[hv] = np;

};

return np;}

Inserts new ite

m at head

of the lis

t indexed by

hash value

More on Data Structures in C

CS-2301 B-term 2008 47

Hash Table Summary

• Widely used for constant time access

• Easy to build and maintain

• There exist an art and science to the choice of hashing functions

• Consult textbooks, web, etc.

More on Data Structures in C

CS-2301 B-term 2008 48

Questions?

top related