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This section contains free e-books and guides on computer algorithm, some of the resources in this section can be viewed online and some of them can be downloaded.

computer algorithm Books
Online Books
Introduction to Algorithms

PDF | 459 Pages | English
In computer science, an algorithm is a self-contained step-by-step set of operations to be performed. Topics covered includes: Algorithmic Primitives for Graphs, Greedy Algorithms, Divide and Conquer, Dynamic Programming, Network Flow, NP and Computational Intractability, PSPACE, Approximation Algorithms, Local Search, Randomized Algorithms.

 
Notes on Data Structures and Programming Techniques

PDF | 530 Pages | English
Purposes to this note is to teach you to program in the C programming language, and to teach you how to choose, implement, and use data structures and standard programming techniques. Topics coverd includes: The Zoo and the Zoo Annex, The Linux programming environment, The C programming language, Data structures and programming techniques.

 
Analysis and Design of Computer Algorithms by Ganesh Kumar

PDF | 85 Pages | English
This note covers the following topics: Divide And Conquer Strategy, Greedy Method, Minimum Spanning Trees, Dynamic Programming, Optimal Binary search trees, Backtracking Method, Branch and Bound, Lower bound Theory.

 
Introduction to the Design and Analysis of Algorithms

Online | NA Pages | English
This note introduces a number of important algorithm design techniques as well as basic algorithms that are interesting both from a theoretical and also practical point of view. Topics covered are: Introduction to Algorithms, Asymptotic Analysis, Recurrence Equations, Sorting Algorithms, Search Trees, Randomized Algorithms and Quicksort, Selection Algorithms, Number Theory and Cryptography Algorithms, Graph algorithms, Greedy Algorithms and External Memory Algorithms.

 
Skiena's Algorithms Lectures

Online | NA Pages | English
This note covers the following topics: Introduction to Algorithms, Asymptotic Notation, Modeling or Logarithms, Elementary Data Structures, Dictionary data structures, Sorting, Heapsort or Priority Queues, Recurrence Relations, Introduction to NP-completeness, Reductions, Cook's Theorem or Harder Reduction, NP-completeness challenge, Approximation Algorithms and Heuristic Methods.

 
Data Structures and Algorithm Analysis

Online | NA Pages | English
This book is designed as a teaching text that covers most standard data structures, but not all. A few data structures that are not widely adopted are included to illustrate important principles.

 
Data Structures and Algorithms The Basic Toolbox

Online | NA Pages | English
This book is a concise introduction to this basic toolbox, intended for students and professionals familiar with programming and basic mathematical language.

 
Data Structures and Algorithms

PDF | 80 Pages | English
This note covers the following topics: Fundamentals of data structure, simple data structures, ideas for algorithm design, the TABLE Data Type, free storage management, sorting, storage on external media, variants on the SET Data Type, pseudo-random numbers, data compression, algorithms on graphs, algorithms on strings and Geometric Algorithms.

 
Lecture Notes on Algorithms

Online | NA Pages | English
This lecture note explains data structures and algorithms, focusing on advanced topics such as graph theory, randomized algorithms, and combinatorial search.

 
Lecture Notes on Data Structures

Online | NA Pages | English
This note covers the following topics: Algorithms and Data Structures, Introduction to Java, Software Development, Writing Classes, Writing Classes in Java, Unit Testing, Building Large Java Applications, Inheritance and Polymorphism, Interfaces, A Math Review, Algorithm Analysis, Data Types versus Data Structures, Collections, Stacks ,Queues, Lists, Recursion, Sorting, Trees, Oriented Trees, Ordered Trees, Binary Trees, Sets and Dictionaries, Search Trees, Binary Search Trees, Red-Black Trees.

 
Applied Algorithms Lecture Slides

Online | NA Pages | English
This note covers the following topics: Introduction, Stable Matching, Graph Algorithms, Greedy Algorithms, Minimum Spanning Trees, Recurrences, Dynamic programming, Network Flow and Network Flow Applications.

 
Design and Analysis of Computer Algorithms (PDF 135P)

PDF | 135 Pages | English
This lecture note discusses the approaches to designing optimization algorithms, including dynamic programming and greedy algorithms, graph algorithms, minimum spanning trees, shortest paths, and network flows. Also it briefly discusses algorithmic problems arising from geometric settings, that is, computational geometry.

 
Lecture Notes Introduction to Computer Algorithms

Online | NA Pages | English
This course note provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems.

 
Lecture Notes for Algorithm Analysis and Design (PDF 124P)

PDF | 128 Pages | English
This note covers the following topics related to Algorithm Analysis and Design: Model and Analysis, Warm up problems, Brute force and Greedy strategy, Dynamic Programming, Searching, Multidimensional Searching and Geometric algorithms, Fast Fourier Transform and Applictions, String matching and finger printing, Graph Algorithms, NP Completeness and Approximation Algorithms.

 
Algorithms Lecture Notes

Online | NA Pages | English
This note covers the following topics: Mathematics for Algorithmic, Greedy Algorithms, Divide and Conquer Algorithms, Dynamic Programming, Amortized Analysis, Hash Table, Binary Search Tree, Graph Algorithms, String Matching, Sorting and Approximate Algorithms

 
Information Theory, Inference, and Learning Algorithms (David J.C. MacKay)
Computer Programming Algorithms Directory

Online | NA Pages | English
This note covers the following topics: Encryption Algorithms, Genetic Algorithms, Geographic Information Systems Algorithms, Sorting Algorithms, Search Algorithms, Tree Algorithms, Computational Geometry Algorithms, Phonetic Algorithms and Project Management Algorithms.

 
Algorithms (Shai Simonson)

Online | NA Pages | English
This note covers the design of algorithms according to methodology and application. Methodologies include: divide and conquer, dynamic programming, and greedy strategies. Applications involve: sorting, ordering and searching, graph algorithms, geometric algorithms, mathematical (number theory, algebra and linear algebra) algorithms, and string matching algorithms.

 
Sorting and Searching Algorithms (Thomas Niemann)
Combinatorial Algorithms (Jeff Erickson)

Online | NA Pages | English
This book covers the follwoing topics related to algorithms: Recursion, Amortization, Randomization, Basic graph algorithms, Combinatorial optimization, Lower bounds.

 
Information Retrieval (C.J. van Rijsgergen)

Online | NA Pages | English
The material of this book is aimed at advanced undergraduate information (or computer) science students, postgraduate library science students, and research workers in the field of IR. Some of the chapters, particular chapter 6, make simple use of a little advanced mathematics.

 
Data Structures and Algorithms (John Morris)

Online | NA Pages | English
These notes were prepared for the Programming Languages and System Design course in the BE (Information Technology) course at the University of Western Australia. The course note covers the following topics: Algorithm Complexity, Classes of Efficient Algorithms, Searching, Queues, Sorting, Graphs, Huffman Encoding, Fast Fourier Transforms, Matrix Chain Multiplication, Intractible Problems and Alpha-Beta search.

 
An Introduction to Computational Complexity

PDF | 85 Pages | English
This note covers the following topics: Computational Models, Complexity measures, Power increasing resourses, Basic relatton amomg the models and measures, Reducibility, completeness and closure under reductions, Deterministics and nondeterministics logarithmic space, Deterministics polynomial time, Polynomial Hierarchy and Polynomial space.

 
Computer Animation Algorithms Techniques (Rick Parent)
Handbook of Algorithms and Data Structures (G. Gonnet, R. Baeza Yates)
Algorithms and Complexity (Herbert S. Wilf)
Data Structures and Algorithms with Object Oriented Design Patterns in Java (Bruno R. Preiss)
Data Structures and Algorithms with Object Oriented Design Patterns in C++ (Bruno R. Preiss)
Data Structures and Algorithms with Object Oriented Design Patterns in CSharp (Bruno R. Preiss)
List of algorithms Mirror
Dictionary of Algorithms and Data Structures
Lecture Notes on Computational Complexity (Luca Trevisan)
Algorithms for Programmers (Jrg Arndt)
Algorithms for Programmers (Jrg Arndt) PDF
Data Structures through Java (Peter M. Williams)
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