Data Structures And Algorithm Analysis In C (2nd Edition) [NEW] Download.zip
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Data Structures and Algorithm Analysis in C (2nd Edition): A Comprehensive Guide
If you are looking for a book that covers the fundamentals of data structures and algorithms using the C programming language, you might want to check out Data Structures and Algorithm Analysis in C (2nd Edition) by Mark Allen Weiss. This book provides a modern approach to the topic, with a focus on abstract data types (ADTs) and the analysis of algorithms for efficiency, performance and running time. The book also contains a new chapter that examines advanced data structures such as red black trees, splay trees, skip lists and hash tables.
In this article, we will give you an overview of the book's contents, features and benefits, as well as some tips on how to download it for free.
What is Data Structures and Algorithm Analysis in C (2nd Edition) about?
Data Structures and Algorithm Analysis in C (2nd Edition) is a textbook that covers the essential concepts and techniques of data structures and algorithms using the C programming language. The book is divided into 12 chapters, each covering a different topic. Here is a brief summary of each chapter:
Chapter 1: Introduction. This chapter introduces the basic terminology and concepts of data structures and algorithms, such as ADTs, complexity analysis, asymptotic notation, recursion and iterative algorithms.
Chapter 2: Algorithm Analysis. This chapter explains how to measure the efficiency and performance of algorithms using mathematical tools such as recurrence relations, summations, series and limits.
Chapter 3: Lists, Stacks and Queues. This chapter covers the implementation and applications of linear data structures such as arrays, linked lists, stacks and queues.
Chapter 4: Trees. This chapter covers the implementation and applications of hierarchical data structures such as binary trees, binary search trees, AVL trees and heaps.
Chapter 5: Hashing. This chapter covers the implementation and applications of hashing techniques such as hash functions, collision resolution methods, open addressing and chaining.
Chapter 6: Priority Queues (Heaps). This chapter covers the implementation and applications of priority queues using heaps and heap sort.
Chapter 7: Sorting. This chapter covers the implementation and analysis of various sorting algorithms such as insertion sort, selection sort, bubble sort, shell sort, quick sort, merge sort and radix sort.
Chapter 8: The Disjoint Set ADT. This chapter covers the implementation and applications of the disjoint set ADT using union-find algorithms.
Chapter 9: Graph Algorithms. This chapter covers the implementation and applications of graph algorithms such as breadth-first search, depth-first search, topological sort, minimum spanning trees and shortest paths.
Chapter 10: Algorithm Design Techniques. This chapter covers some common algorithm design techniques such as greedy algorithms, divide-and-conquer algorithms and dynamic programming algorithms.
Chapter 11: Amortized Analysis. This chapter covers the concept of amortized analysis for analyzing the average performance of algorithms over a sequence of operations.
Chapter 12: Advanced Data Structures and Implementation. This chapter covers some advanced data structures such as red black trees, splay trees, skip lists and hash tables.
What are the features and benefits of Data Structures and Algorithm Analysis in C (2nd Edition)?
Data Structures and Algorithm Analysis in C (2nd Edition) is a well-written, informative and up-to-date textbook that offers several features and benefits for students and instructors alike. Some of these are:
The book uses a conceptual presentation that focuses on ADTs rather than specific implementations. This helps students understand the abstract principles behind data structures and algorithms without getting bogged down by details.
The book emphasizes the analysis of algorithms for efficiency, performance and running time. This helps students develop critical thinking skills and learn how to compare different solutions based on their trade-offs.
The book contains a new chapter that examines advanced data structures such as red black trees, splay trees, skip lists and hash tables. These are useful topics for students who want to learn more about modern applications of data structures and algorithms.
The book contains numerous examples, exercises, figures and tables that illustrate the concepts and techniques covered in each chapter. These help students reinforce their learning and test their understanding.
The book comes with aa16f39245