 |
| Fig: DS & ALGO. |
* Objectives of data structure
- To identify and create useful mathematical entities and operations for the problems.
- Determine the representation of entities and implementation on the problem.
- Represents the knowledge of data to be organised in memory.
- Reduce complexity and increase efficiency.
- Useful for data abstraction, analyse the problem.
- Develop algorithm.
* Introduction to programming methodologies:
Programming methodologies deals with analysis, design and implementation of the program. It is required to construct a make any program. Usually there are four types of programming methodologies that are stated as below:
Here the program is divided into subprograms. It focuses on two functions rather than data. Follows top-down approach. Also allows globalisation of data.
Hay the program is decomposed into smaller portions. The steps include proper expansion of the problem to understand it. Outline the exact problem. Decompose the problem into subtasks. Prepare a prototype of subprogram for each subtask.
3. Structural oriented methodology:
It emphasizes on algorithm. Here also the program is divided into functions. And also allows global data.
4. Object-Oriented programming methodology:
It allows data encapsulation and data hiding. Also, have the function for universal inheritance.
Note: handwritten notes have been provided below you can download them for free and in the next article we'll be covering ARRAYS and POINTERS with LINKED LISTS.
For other topics related to Engineering, you can check them out @OYETECHY for free.
Regards,
Reviewed by Oyetechy.com
on
January 31, 2021
Rating:
No comments: