The Tomes of Delphi Algorithms and Data Structures 1st Edition by Julian Bucknall ISBN 1556227361 9781556227363

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Product details:
ISBN 10: 1556227361
ISBN 13: 9781556227363
Author: Julian Bucknall

Delphi developer Julian Bucknall provides fellow developers a comprehensive overview of using algorithms and data structures from a practical perspective.Bucknall begins with a discussion of algorithm performance, and provides comprehensive coverage of such topics as arrays, linked lists, and binary trees.The book focuses on search algorithms such as sequential and binary search and sort algorithms including bubble, insertion, Shell sort, quicksort, merge sort, and heapsort along with techniques for optimization.Additionally, the author presents hashing and hash tables, priority queues, state machines and regular expressions, and data compression techniques such as Huffman and LZ77

The Tomes of Delphi Algorithms and Data Structures 1st Edition Table of contents:

Part 1: Introduction to Algorithms and Data Structures

1. Introduction to Algorithms

   • What is an Algorithm?
   • Algorithm Analysis and Complexity
   • Understanding Time and Space Complexity (Big O Notation)

2. Introduction to Data Structures

   • Overview of Data Structures
   • Primitive Data Types vs. Abstract Data Types (ADTs)
   • Choosing the Right Data Structure for Your Application

3. Programming Techniques in Delphi

   • Delphi Programming Paradigms: Object-Oriented and Procedural
   • Memory Management in Delphi
   • Utilizing Delphi’s Built-in Collections and Data Structures

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Part 2: Basic Data Structures

4. Arrays and Lists

   • Static and Dynamic Arrays
   • Implementing Arrays and Lists in Delphi
   • Array Manipulation Techniques

5. Stacks and Queues

   • Understanding Stack and Queue Concepts
   • Implementing Stacks and Queues in Delphi
   • Real-World Applications of Stacks and Queues

6. Linked Lists

   • Singly Linked Lists
   • Doubly Linked Lists
   • Circular Linked Lists
   • Implementing Linked Lists in Delphi

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Part 3: Advanced Data Structures

7. Trees

   • Binary Trees: Definitions and Terminology
   • Binary Search Trees (BST)
   • AVL Trees and Red-Black Trees
   • Implementing Trees in Delphi

8. Heaps and Priority Queues

   • Understanding Heaps and Their Uses
   • Implementing Binary Heaps in Delphi
   • Priority Queues and Applications

9. Graphs

   • Graph Terminology and Types of Graphs
   • Representing Graphs in Memory
   • Graph Traversal Algorithms: BFS and DFS
   • Shortest Path Algorithms: Dijkstra’s and A*

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Part 4: Algorithms

10. Sorting Algorithms

    • Introduction to Sorting Algorithms
    • Bubble Sort, Selection Sort, and Insertion Sort
    • Merge Sort, Quick Sort, and Heap Sort
    • Algorithm Analysis: Comparing Sorting Algorithms

11. Searching Algorithms

    • Linear Search and Binary Search
    • Hashing and Hash Tables
    • Searching in Trees and Graphs

12. Divide and Conquer Algorithms

    • Understanding Divide and Conquer Strategy
    • Recursive Algorithms
    • Examples: Merge Sort, Quick Sort, Binary Search

13. Dynamic Programming and Greedy Algorithms

    • Introduction to Dynamic Programming
    • Examples: Fibonacci Sequence, Longest Common Subsequence
    • Greedy Algorithms: Huffman Coding and Activity Selection

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Part 5: Specialized Topics

14. String Algorithms

    • String Matching Algorithms: Knuth-Morris-Pratt (KMP), Boyer-Moore
    • String Sorting Algorithms
    • Regular Expressions and Their Applications

15. Memory Management and Optimization

    • Understanding Memory Management in Delphi
    • Optimizing Data Structures and Algorithms for Performance
    • Minimizing Memory Usage

16. Concurrency and Parallel Algorithms

    • Introduction to Concurrent Programming
    • Parallelizing Algorithms in Delphi
    • Synchronization Techniques and Data Structures

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Part 6: Advanced Data Structure Design

17. Balanced Trees and Search Structures

    • B-Trees and B+ Trees
    • Splay Trees and Self-Balancing Trees
    • Implementing Advanced Search Structures in Delphi

18. Advanced Graph Algorithms

    • Minimum Spanning Tree Algorithms: Prim’s and Kruskal’s
    • Network Flow Algorithms: Ford-Fulkerson and Edmonds-Karp
    • Advanced Graph Traversal Techniques

19. Persistent Data Structures

    • What Are Persistent Data Structures?
    • Implementing Persistent Structures in Delphi
    • Applications and Use Cases

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