Data Structures and Algorithms Handwritten Notes pdf 2022

Data Structure Handwritten Notes PDF

Date: 27th Jan 2023

In these “Data Structure Handwritten Notes PDF”, we will be developing the ability to use basic data structures like an array, stacks, queues, lists, trees, and hash tables to solve problems. C++ is chosen as the language to understand the implementation of these data structures.

We have provided multiple complete Data Structures and Algorithms Handwritten Notes PDF for any university student of BCA, MCA, B.Sc, B.Tech CSE, M.Tech branch to enhance more knowledge about the subject and to score better marks in the exam. Students can easily make use of all these Data Structures and Algorithms Handwritten Notes PDF by downloading them.

Topics in our Data Structure Handwritten Notes PDF

The topics we will cover in these Data Structure Handwritten Notes PDF will be taken from the following list:

Arrays: single and multi-dimensional arrays, analysis of insert, delete, and search operations in arrays (both linear search and binary search), implementing sparse matrices, applications of arrays to sorting

Sorting: selection sort, insertion sort, bubble sort, comparison of sorting techniques via empirical studies. Introduction to Vectors.

Linked Lists: Singly- linked, doubly-linked and circular lists, analysis of insert, delete, and search operations in all the three types, implementing sparse matrices. Introduction to Sequences.

Queues: Array and linked representation of queue, de-queue, comparison of the operations on queues in the two representations. Applications of queues.

Stacks: Array and linked representation of stacks, comparison of the operations on stacks in the two representations, implementing multiple stacks in an array.

Applications of Stacks: prefix, infix, and postfix expressions, utility, and conversion of these expressions from one to another; applications of stacks to recursion: developing recursive solutions to simple problems, advantages, and limitations of recursion.

Trees: Introduction to tree as a data structure; binary trees, binary search trees, analysis of insert, delete, search operations, recursive and iterative traversals on binary search trees. Height-balanced trees (AVL), B trees, analysis of insert, delete, search operations on AVL, and B trees.

Heaps: Introduction to heap as a data structure. analysis of insert, extract-min/max, and delete-min/max operations, applications to priority queues.

Hash Tables: Introduction to hashing, hash tables, and hashing functions -insertion, resolving collision by open addressing, deletion, searching and their analysis, properties of a good hash function.

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Data Structures Books

We have listed the best Data Structures Books that can help in your Data Structures exam preparation: 

Data Structures and Algorithms Handwritten Notes PDF FAQs

What is Data Structures ?

A data structure is a way of storing data in a computer so that it can be used efficiently and it will allow the most efficient algorithm to be used. The choice of the data structure begins with the choice of an abstract data type (ADT). A well-designed data structure allows a variety of critical operations to be performed, using as few resources, both execution time and memory space, as possible.

What is the use of data structure ?

Data structure introduction refers to a scheme for organizing data, or in other words it is an arrangement of data in computer’s memory in such a way that it could make the data quickly available to the processor for required calculations.

What is the concept of Data Structures ?

A data structure should be seen as a logical concept that must address two fundamental concerns.
1. how the data will be stored
2. what operations will be performed on it.

What is Abstract Data Type (ADT) ?

Data structure is a scheme for data organization so the functional definition of a data structure should be independent of its implementation. The functional definition of a data structure is known as ADT (Abstract Data Type) which is independent of implementation.

How does the organisation of data affect the performance ?

The way in which the data is organized affects the performance of a program for different tasks. Computer programmers decide which data structures to use based on the nature of the data and the processes that need to be performed on that data. Some of the more commonly used data structures include lists, arrays, stacks, queues, heaps, trees, and graphs.

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