Algorithms in C++: Parts 1-4 - Fundamentals, Data Structures, Sorting, Searching (Third Edition)
This comprehensive guide, written by S. Sahni, dives into the world of algorithms and data structures, providing a thorough understanding of their implementation in C++. The book is divided into four parts, each focusing on a specific aspect of algorithm design and analysis.
Part 1: Fundamentals
This part lays the foundation for understanding algorithms. It covers essential topics such as:
- Introduction to algorithms: Defining algorithms, their properties, and the concept of efficiency.
- Data types and operations: Exploring basic data types in C++ and fundamental operations like assignment, arithmetic, and comparison.
- Control structures: Understanding control flow constructs such as loops, conditional statements, and recursion.
- Arrays and matrices: Working with arrays, multidimensional arrays, and their applications in algorithms.
- Strings: Manipulating strings, searching patterns, and exploring various string operations.
Part 2: Data Structures
This part delves into the world of data structures, providing practical knowledge of their implementation and use:
- Stacks and queues: Understanding the principles and applications of stacks and queues, including their implementations using arrays and linked lists.
- Linked lists: Exploring different types of linked lists, including singly linked lists, doubly linked lists, and circular linked lists.
- Trees: Introducing binary trees, binary search trees, and their traversal methods.
- Graphs: Understanding the concepts of graphs, their representations, and basic algorithms like depth-first search and breadth-first search.
Part 3: Sorting
This part focuses on sorting algorithms, exploring various techniques and their complexities:
- Bubble sort, selection sort, and insertion sort: Understanding these simple sorting algorithms and their efficiency analysis.
- Merge sort and quick sort: Delving into divide-and-conquer algorithms, their advantages, and their implementations.
- Heap sort: Exploring heap data structure and its application in sorting.
- Radix sort: Understanding a non-comparison-based sorting technique and its efficiency.
Part 4: Searching
This part explores different searching algorithms, covering linear and non-linear techniques:
- Linear search: Understanding the basic linear search algorithm and its limitations.
- Binary search: Exploiting sorted data to efficiently search for elements using binary search.
- Hashing: Introducing hashing techniques for efficient data retrieval and collision resolution strategies.
- Trie: Exploring the Trie data structure and its applications in searching and prefix matching.
Third Edition Enhancements
The third edition of "Algorithms in C++" offers significant enhancements:
- Updated code examples: All code examples are updated to reflect modern C++ standards and best practices.
- New algorithms and data structures: The book incorporates new algorithms and data structures, including advanced tree structures and graph algorithms.
- Enhanced explanations and illustrations: The third edition features clearer explanations and improved illustrations to enhance understanding.
- Focus on efficiency and complexity: The book emphasizes the analysis of algorithm efficiency and time complexities, providing a deeper understanding of algorithm performance.
This book serves as a valuable resource for students and professionals seeking to learn and master the fundamentals of algorithms and data structures in C++. Its comprehensive coverage, practical examples, and focus on efficiency make it an excellent guide for anyone interested in computer science, software development, and related fields.