Data Structures Through C++

Understanding a data structure is easier when you can follow what it does, step by step. Yashavant P. Kanetkar’s Data Structures Through C++ takes a practical route through the subject, using C++ implementations, examples, and visual explanations to make familiar structures and algorithms more concrete.

Start with the cost of an algorithm

Before turning to individual structures, the book introduces algorithm analysis: what to measure, how input size affects performance, and how growth rates help compare approaches. That foundation gives readers a useful lens for considering not only whether a program works, but how its work changes as the problem grows.

From arrays to linked lists

The coverage moves through arrays, multidimensional arrangements, polynomial operations, linked lists, and sparse matrices. Stacks and queues follow, including circular queues, deques, and priority queues. Worked operations and programming examples help connect each structure’s organization to the tasks it can support.

Explore trees, graphs, and classic algorithms

Tree topics include binary trees, binary search trees, traversals, threaded trees, AVL trees, and binary heaps. The graph material covers representations and traversals, then moves into spanning trees, shortest paths, and topological sorting. Searching and sorting techniques—including binary search, quick sort, merge sort, and heap sort—complete the broad tour.

See how the pieces work together

The book’s stated emphasis is on understanding structures through working programs and visual explanations, rather than leaving every operation to the reader’s imagination. Its introduction also describes animations for following processes such as sorting an array, traversing a doubly linked list, and constructing a binary tree. Examples, figures, and chapter-end exercises support further practice.

For learners building a C++ foundation

This third edition may be useful to students and programmers who want a structured introduction to data structures and algorithm analysis in C++. It also offers a broad review for readers revisiting the fundamentals—from lists and stacks to trees, graphs, and sorting methods.