Data Structures Abstraction and Design Using Java 1st edition by Elliot Koffman, Paul Wolfgang ISBN 0470128704 978-0470128701

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ISBN 10: 0470128704
ISBN 13: 978-0470128701
Author: Elliot Koffman, Paul Wolfgang 

This book lays the foundation for programmers to build their skills. The focus is placed on how to implement effective programs using the JCL instead of producing mathematical proofs. The coverage is updated and streamlined to provide a more accessible approach to programming. They ll be able to develop a thorough understanding of basic data structures and algorithms through an objects-first approach. Data structures are discussed in the context of software engineering principles. Updated case studies also show programmers how to apply essential design skills and concepts.

Data Structures: Abstraction and Design Using Java 1st Table of contents:

Part 1: Introduction to Data Structures

Chapter 1: Introduction to Data Structures and Java
1.1. Data Structures: A Definition
1.2. The Role of Data Structures in Computing
1.3. Introduction to Java
1.4. Java Class Design and Object-Oriented Programming
1.5. Arrays in Java
1.6. Java Collections Framework
1.7. Abstraction in Java

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Part 2: Lists

Chapter 2: Arrays and ArrayLists
2.1. Arrays: The Foundation for Data Structures
2.2. ArrayList Class
2.3. Performance of Array-Based Structures
2.4. Copying Arrays
2.5. Expanding Array-Based Lists

Chapter 3: Linked Lists
3.1. Introduction to Linked Lists
3.2. Singly Linked Lists
3.3. Doubly Linked Lists
3.4. Circular Linked Lists
3.5. Implementing Linked Lists in Java

Chapter 4: Stacks and Queues
4.1. Stack Abstract Data Type
4.2. Stack Implementations
4.3. Queue Abstract Data Type
4.4. Circular Queues
4.5. Queue Implementations in Java
4.6. Priority Queues

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Part 3: Trees

Chapter 5: Binary Trees
5.1. Introduction to Trees
5.2. Binary Trees
5.3. Tree Traversal Techniques
5.4. Applications of Binary Trees
5.5. Implementing Binary Trees in Java

Chapter 6: Binary Search Trees
6.1. Introduction to Binary Search Trees (BST)
6.2. Operations on Binary Search Trees
6.3. Balanced Binary Search Trees
6.4. Implementing BSTs in Java
6.5. Searching and Insertion in BSTs
6.6. Deletion in BSTs

Chapter 7: Balanced Trees
7.1. AVL Trees
7.2. Rotations in AVL Trees
7.3. Insertion and Deletion in AVL Trees
7.4. Red-Black Trees
7.5. Implementing Balanced Trees in Java

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Part 4: Graphs

Chapter 8: Graphs
8.1. Introduction to Graphs
8.2. Representations of Graphs
8.3. Graph Traversals: Depth-First Search and Breadth-First Search
8.4. Shortest Path Algorithms
8.5. Minimum Spanning Trees
8.6. Implementing Graphs in Java

Chapter 9: Advanced Graph Algorithms
9.1. Dijkstra’s Algorithm
9.2. Floyd-Warshall Algorithm
9.3. Topological Sorting
9.4. Strongly Connected Components
9.5. Maximum Flow Problems

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Part 5: Sorting and Searching

Chapter 10: Sorting
10.1. Introduction to Sorting
10.2. Bubble Sort
10.3. Insertion Sort
10.4. Merge Sort
10.5. Quick Sort
10.6. Heap Sort
10.7. Comparison of Sorting Algorithms
10.8. Sorting in Java

Chapter 11: Searching
11.1. Linear Search
11.2. Binary Search
11.3. Hashing
11.4. Hash Tables
11.5. Collision Resolution Strategies
11.6. Searching in Java

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Part 6: Problem Solving with Data Structures

Chapter 12: Problem Solving Using Data Structures
12.1. Design and Analyze Algorithms
12.2. Divide-and-Conquer
12.3. Dynamic Programming
12.4. Greedy Algorithms
12.5. Backtracking Algorithms
12.6. Branch and Bound Algorithms
12.7. Case Studies in Problem Solving

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Appendices

• A. Java Basics

• B. Asymptotic Complexity of Algorithms

• C. Additional Resources for Learning Java

• D. Answers to Selected Exercises

• E. Index

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