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Notes on Data Structures and Programming Techniques
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.
Author(s): James Aspnes
530 Pages 
Lecture Notes on Design and Analysis of Algorithms
This note describes the following topics: Greedy methods, Dynamic programming, Backtracking, Branch and bound.
Author(s): Annamalai University
96 Pages
Advanced Algorithms by BMS College of Engineering
he PDF covers the following topics related to Computer Algorithms : Dynamic programming, Application domain of DP, Matrix Chain Multiplication, MCP DP Steps, Recursive Tree, Longest Increasing Subsequence, Dynamic programming, Rod cutting -4 inch rod example, DP for rod cutting, Bottom up approach.
Author(s): BMS College of Engineering
152 Pages
Lecture Notes On Design And Analysis Of Algorithms
This note covers the following topics: Design and analysis of algorithms, Growth of Functions, Recurrences, Solution of Recurrences by substitution, Recursion tree method, Master Method, Worst case analysis of merge sort, quick sort and binary search, Design and analysis of Divide and Conquer Algorithms, Heaps and Heap sort, Priority Queue, Lower Bounds for Sorting, Dynamic Programming algorithms, Matrix Chain Multiplication, Elements of Dynamic Programming, Longest Common Subsequence, Greedy Algorithms, Activity Selection Problem, Elements of Greedy Strategy, Fractional Knapsack Problem, Huffman Codes, Graph Algorithm - BFS and DFS, Minimum Spanning Trees, Kruskal algorithm, Prim's Algorithm, Fourier transforms and Rabin-Karp Algorithm.
Author(s): Dr. Subasish Mohapatra
125 Pages
Design And Analysis Of Algorithms by Herbert Edelsbrunner
This book focuses on fundamental data structures and graph algorithms. The emphasis will be on algorithm design and on algorithm analysis.
Author(s): Herbert Edelsbrunner
95 Pages
The field of approximation algorithms has developed in response to the difficulty in solving a good many optimization problems exactly. This note will present general techniques that underly these algorithms.
Author(s): Shuchi Chawla
NA Pages
Lecture Notes On Design And Analysis Of Algorithms
This note explains the following topics related to Algorithm Analysis and Design: Introduction to Design and analysis of algorithms, Growth of Functions, Recurrences, Solution of Recurrences by substitution,Recursion tree method, Master Method, Design and analysis of Divide and Conquer Algorithms, Worst case analysis of merge sort, quick sort and binary search, Heaps and Heap sort, Priority Queue, Lower Bounds for Sorting.
Author(s): Mr. S.K. Sathua, Dr. M.R. Kabat and Dr. R. Mohanty
80 Pages
Data Structures and Algorithms
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.
Author(s): Martin Richards
80 Pages
This lecture note explains data structures and algorithms, focusing on advanced topics such as graph theory, randomized algorithms, and combinatorial search.
Author(s): Ray Toal
NA Pages
Information Retrieval (C.J. van Rijsgergen)
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.
Author(s): C.J. van Rijsgergen
NA Pages
Algorithms for Programmers (Jrg Arndt) PDF
Currently this section contains no detailed description for the page, will update this page soon.
Author(s):
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