Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. If you continue browsing the site, you agree to the use of cookies on this website. See our User Agreement and Privacy Policy.

Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. If you continue browsing the site, you agree to the use of cookies on this website. See our Privacy Policy and User Agreement for details.

Like this presentation? Why not share!

No Downloads

Total views

4,169

On SlideShare

0

From Embeds

0

Number of Embeds

3

Shares

0

Downloads

302

Comments

0

Likes

5

No embeds

No notes for slide

- 1. Junaid khan Visiting Lecturer University of Peshawar
- 2. AND ITS TYPES
- 3. It is a logical way of storing data and it also define mechanism of retrieve data.
- 4. What are Data Structures? Data may be organized in many different ways. A Data Structure is an arrangement of data in a computer’s memory or on a disk. The logical or mathematical model of a particular organization of a data is called Data Structures. The choice of a data model depends on two consideration: 1) It must be rich enough in structure to mirror the actual relationships of the data in the real world. 2) The structure should be simple enough that one can effectively process the data when necessary.
- 5. Types of Data Structure DATA STRUCTURE LINEAR NON LINEAR
- 6. The data appearing in data structures are processed by means of operations. The following are operations are major operations: a) Traversing: Accessing each record exactly once so that certain items in the record may be processed. b) Searching: Finding the location of the record with a given key value, or finding the locations of all records which satisfy one or more conditions. c) Inserting: Adding a new record to the structure. d) Deleting: Removing a record from the structure. Following two are special operations: a) Sorting: Arranging the records in some logical order. b) Merging: Combining the records in two different sorted files into a single sorted file.
- 7. An algorithm is a well-defined list of steps for solving a particular problem. Algorithms manipulate the data present in data structures in various ways, such as searching for a particular data item and sorting the data. Flowcharts are pictorial representations of the algorithms. Properties/ characteristics of the algorithm: a) Finiteness: Total number of steps used in an algorithm should be finite. b) Definiteness: Each step of algorithm must be clear and unambiguous. c) Effectiveness: Every step must be basic and essential. d) Input/output: The algorithm must accept zero or more input and must produce at least on output.
- 8. 1.Array 2.Stack 3.Queue 4.Linked List
- 9. An array is a collection of homogeneous type of data elements. An array is consisting of a collection of elements .
- 10. 1.Traversing 2.Search 3.Insertion 4.Deletion 5.Sorting 6.Merging
- 11. Representation of array in memory 1 2 3 4 5
- 12. Array Representation
- 13. A Stack is a list of elements in which an element may be inserted or deleted at one end which is known as TOP of the stack.
- 14. Push: add an element in stack Pop: remove an element in stack
- 15. Representation of Stack EEE DDD CCC BBB AAA TOP
- 16. Stack Representation
- 17. A queue is a linear list of element in which insertion can be done at one end which is known as front and deletion can be done which is known as rear.
- 18. Insertion : add a new element in queue Deletion: Removing an element in queue
- 19. Representation of Queue 55 65 75
- 20. Queue Representation
- 21. A Linked list is a linear collection of data elements .It has two part one is info and other is link part.info part gives information and link part is address of next node
- 22. 1.Traversing 2.Searching 3.Insertion 4.Deletion
- 23. Linked Representation
- 24. 1.Tree 2.Graph
- 25. In computer science, a tree is a widely-used data structure that emulates a hierarchical tree structure with a set of linked nodes.
- 26. 1.Insertion 2.Deletion 3.Searching
- 27. Tree Representation
- 28. A graph data structure may also associate to each edge some edge value, such as a symbolic label or a numeric attribute (cost, capacity, length, etc.).
- 29. 1.Searching 2.Insertion 3.Deletion
- 30. Graph Representation

No public clipboards found for this slide

×
### Save the most important slides with Clipping

Clipping is a handy way to collect and organize the most important slides from a presentation. You can keep your great finds in clipboards organized around topics.

Be the first to comment