Advanced Algorithms: Download Free Books

Learn Advanced Algorithms with these amazing books for free. Download it from the links given below.

Introduction to Algorithms: CLRS (Advanced)

Introduction to Algorithms by Thomas H. Cormen, Charles E. Leirson, Ronald L. Rivest, Clifford Stein is a comprehensive introduction to the modern study of computer algorithms. This book covers a wide range of algorithms in depth where each chapter is self-contained and presents an algorithm with it’s design techniques and application area along with some related topics. This is best suitable for self study by technical professionals as it discusses engineering issues in Algorithms as well as mathematical aspects.

Advanced Algorithms


The book contains the following chapters:

  1. Revision History
  2. Getting Started
  3. Growth of Functions
  4. Divide-and-Conquer
  5. Probabilistic Analysis and Randomized Algorithms
  6. Heapsort
  7. Quicksort
  8. Sorting in Linear Time
  9. Medians and Order Statistics
  10. Hash Tables
  11. Binary Search Trees
  12. Red-Black Trees
  13. Augmenting Data Structures
  14. Dynamic Programming
  15. Greedy Algorithm
  16. Amortized Analysis
  17. Data Structures for Disjoint Sets
  18. Elementary Graph Algorithms
  19. Minimum Spanning Trees
  20. Single Source Shortest Paths
  21. All-Pairs Shortest Paths
  22. Maximum Flow
  23. Multithread Algorithms

Algorithms by Sedgwick (Moderate)

The book broadly covers treatments of data structures and algorithms for sorting, searching, graph processing, and string processing inclusive of fifty algorithms that every programmer must know. Obviously this books engages readers interest with clear and detailed examples with visuals and exercises at all level.

Advanced Algorithms


Contents of this book are as follows:

  1. Fundamentals
    • Basic Programming Model
    • Data Abstraction
    • Bags, Queues, and Stacks
    • Analysis of Algorithms
    • Case Study: Union-Find
  2. Sorting
    • Elementary Sorts
    • Mergesorts
    • Quicksorts
    • Priority Queues
    • Applications
  3. Searching
    • Symbol Tables
    • Binary Search Trees
    • Balanced Seach Trees
    • Hash Tables
    • Applications
  4. Graphs
    • Undirected Graphs
    • Directed Graphs
    • Minimum Spanning Trees
    • Shortest Paths
  5. Strings
    • String Sorts
    • Tries
    • Substring Search
    • Regular Expressions
    • Data Compression
  6. Context
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