The document discusses different data structures used to organize and store data in a computer including arrays, stacks, queues, linked lists, trees, and graphs. It provides examples of each data structure and how they are used, such as stacks being used for undo functions in text editors and queues being used for processes in operating systems and packets in data communication. Trees and graphs are described as tools for organizing hierarchical relationships and mapping relationships between data objects.
Queues
a. Concept and Definition
b. Queue as an ADT
c. Implementation of Insert and Delete operation of:
• Linear Queue
• Circular Queue
For More:
https://github.com/ashim888/dataStructureAndAlgorithm
http://www.ashimlamichhane.com.np/
Queues
a. Concept and Definition
b. Queue as an ADT
c. Implementation of Insert and Delete operation of:
• Linear Queue
• Circular Queue
For More:
https://github.com/ashim888/dataStructureAndAlgorithm
http://www.ashimlamichhane.com.np/
Queue is an abstract data structure, somewhat similar to Stacks. Unlike stacks, a queue is open at both its ends. One end is always used to insert data (enqueue) and the other is used to remove data (dequeue). Queue follows First-In-First-Out methodology, i.e., the data item stored first will be accessed first.
An ordered collection of items from which items may be deleted from one end called the front and into which items may be inserted from other end called rear is known as Queue.
It is a linear data structure.
It is called the First In First Out (FIFO) list. Since in queue, the first element will be the first element out.
this presentation is made for the students who finds data structures a complex subject
this will help students to grab the various topics of data structures with simple presentation techniques
best regards
BCA group
(pooja,shaifali,richa,trishla,rani,pallavi,shivani)
Queue is an abstract data structure, somewhat similar to Stacks. Unlike stacks, a queue is open at both its ends. One end is always used to insert data (enqueue) and the other is used to remove data (dequeue). Queue follows First-In-First-Out methodology, i.e., the data item stored first will be accessed first.
An ordered collection of items from which items may be deleted from one end called the front and into which items may be inserted from other end called rear is known as Queue.
It is a linear data structure.
It is called the First In First Out (FIFO) list. Since in queue, the first element will be the first element out.
this presentation is made for the students who finds data structures a complex subject
this will help students to grab the various topics of data structures with simple presentation techniques
best regards
BCA group
(pooja,shaifali,richa,trishla,rani,pallavi,shivani)
Data structure is an arrangement of data in computer's memory. It makes the data quickly available to the processor for required operations.It is a software artifact which allows data to be stored, organized and accessed.
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basics of data structure operations
Static arrays are structures whose size is fixed at compile time and.pdfanjanacottonmills
Static arrays are structures whose size is fixed at compile time and therefore cannot be extended
or reduced to fit the data set. A dynamic array can be extended by doubling the size but there is
overhead associated with the operation of copying old data and freeing the memory associated
with the old data structure. One potential problem of using arrays for storing data is that arrays
require a contiguous block of memory which may not be available, if the requested contiguous
block is too large. However the advantages of using arrays are that each element in the array can
be accessed very efficiently using an index. However, for applications that can be better
managed without using contiguous memory we define a concept called “linked lists”.
A linked list is a collection of objects linked together by references from one object to another
object. By convention these objects are named as nodes. So the basic linked list is collection of
nodes where each node contains one or more data fields AND a reference to the next node. The
last node points to a NULL reference to indicate the end of the list.
Types of Linked Lists
Linked lists are widely used in many applications because of the flexibility it provides. Unlike
arrays that are dynamically assigned, linked lists do not require memory from a contiguous
block. This makes it very appealing to store data in a linked list, when the data set is large or
device (eg: PDA) has limited memory. One of the disadvantages of linked lists is that they are
not random accessed like arrays. To find information in a linked list one must start from the head
of the list and traverse the list sequentially until it finds (or not find) the node. Another advantage
of linked lists over arrays is that when a node is inserted or deleted, there is no need to “adjust”
the array.
There are few different types of linked lists. A singly linked list as described above provides
access to the list from the head node. Traversal is allowed only one way and there is no going
back. A doubly linked list is a list that has two references, one to the next node and another to
previous node. Doubly linked list also starts from head node, but provide access both ways. That
is one can traverse forward or backward from any node. A multilinked list (see figures 1 & 2) is
a more general linked list with multiple links from nodes. For examples, we can define a Node
that has two references, age pointer and a name pointer. With this structure it is possible to
maintain a single list, where if we follow the name pointer we can traverse the list in alphabetical
order of names and if we traverse the age pointer, we can traverse the list sorted by ages. This
type of node organization may be useful for maintaining a customer list in a bank where same
list can be traversed in any order (name, age, or any other criteria) based on the need.
Designing the Node of a Linked List
Linked list is a collection of linked nodes. A node is a struct with at least a.
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4. It is a collection of elements each identified
by at least one array index or key
An array is stored so that the position of
each element can be computed from its
index
5.
6. It is a container of objects that are inserted
and removed according to the last-in first-
out (LIFO) principle.
push
pop
9. To reverse a word. You push a given word
to stack - letter by letter - and then pop
letters from the stack.
An "undo" mechanism in text editors; this
operation is accomplished by keeping all text
changes in a stack.
10. A B C D
cD A
Letters Removed from the stack
Letter inserted into the stack
B
11. The first element is inserted from one end
called REAR.
The Deletion of existing element takes place
from the other end called as FRONT.
12. This makes queue as FIFO(First in First
Out) data structure, which means that
element inserted first will also be removed
first.
25. A doubly linked list is a list that has two
references, one to the next node and
another to previous node.
26.
27. A music player which has next and prev
buttons. –
Train, here each coach is connected to its
previous and next coach
28.
29. It is a powerful tool for organizing data
objects based on keys.
It is equally useful for organizing multiple
data objects in terms of hierarchical
relationships
33. The map will store (word, definition of word)
pairs.
• key = word
• note: words are unique
• value = definition of word
• get(word)
• returns the definition if the word is in
dictionary
• returns null if the word is not in dictionary