VTU Notes | 18CS32 - DATA STRUCTURES AND APPLICATIONS

Strings

Module-1

4.9
2018 Scheme | CSE Department

Created by VtuNotes.in
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5 Modules

18CS32 - DATA STRUCTURES AND APPLICATIONS | Module-1 VTU Notes

VTU | 18CS32 | Module - 1

Strings and their Operations in Data Structures

This summary highlights the key concepts of strings, including terminology, storage, operations, pattern matching algorithms, and programming examples. These concepts are essential components of the "Data Structures and Applications" course.

Basic Terminology:

Strings are sequences of characters, often used to represent text or symbols. Basic terms include characters, length, substring, prefix, and suffix.

Storing Strings:

Strings can be stored as character arrays or using dynamic memory allocation. Null-terminated strings and length-prefixed strings are common approaches.

String Operations:

Students explore fundamental string operations:

- Concatenation: Joining two strings together.

- Copying: Creating a copy of one string in another.

- Comparison: Determining the order of strings (lexicographical order).

- Substring: Extracting a part of a string.

- Searching: Finding the position of a substring within a string.

- Reversal: Flipping the characters in a string.

Pattern Matching Algorithms:

Students delve into techniques to search for specific patterns within strings:

- Brute Force: Naïve approach of checking for pattern match at each position.

- Knuth-Morris-Pratt (KMP): Efficient algorithm using a prefix function to optimize pattern matching.

- Boyer-Moore: Algorithm leveraging the mismatched character to skip unnecessary comparisons.

Programming Examples:

Students implement the learned concepts through programming examples, reinforcing their understanding of string manipulation, pattern matching, and algorithm application.

Conclusion:

Understanding strings, their storage, and various operations is integral to effective data manipulation. The ability to perform pattern matching efficiently enhances text processing capabilities. By studying these concepts and working on programming examples, students develop a solid foundation in string operations, preparing them for more advanced topics in data structures and algorithms.

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