Analysis and Design of Computer Algorithms by Ganesh Kumar

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

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

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

Approximation Algorithms

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

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

Skiena's Algorithms Lectures

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.

Author(s): Steven Skiena

NA 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

Design and Analysis of Computer Algorithms (PDF 135P)

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.

Author(s): David M. Mount

135 Pages

Lecture Notes Introduction to Computer Algorithms

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.

Author(s): Prof. Erik Demaine, Prof. Ronald Rivest and Prof. Srinivas Devadas

NA Pages

Efficient Algorithms for Sorting and Synchronization (Andrew Tridgell, PDF)

This thesis presents efficient algorithms for internal and external parallel sorting and remote data update. Topics covered includes: Internal Parallel Sorting, External Parallel Sorting, The rsync algorithm, rsync enhancements and optimizations and Further applications for rsync.

Author(s): Andrew Tridgell

115 Pages