## Data Structure Handwritten Notes PDF

Free Data Structure Handwritten notes pdf are provided here for Data Structure Handwritten students so that they can prepare and score high marks in their Data Structure Handwritten exam.

In these free 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.

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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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