Data Structures and Algorithms Annotated Reference with Examples

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

Fundamentals of Algorithms with Applications

This note explains the following topics: Growth of functions, Basic data structures, Sorting and Selection, Fundamental techniques, Dynamic programming and Graphs, Graph algorithms, NP-Completeness and approximation algorithms, Randomized Algorithms.

Author(s): Michael T. Goodrich

NA Pages

Design and Analysis of Algorithms

This is an intermediate algorithms course note with an emphasis on teaching techniques for the design and analysis of efficient algorithms, emphasizing methods of application. Topics include divide-and-conquer, randomization, dynamic programming, greedy algorithms, incremental improvement, complexity, and cryptography.

Author(s): Prof. Erik Demaine, Prof. Srinivas Devadas and Prof. Nancy Lynch

NA Pages

Design and Analysis of Algorithms Course Notes

This note explains core material in data structures and algorithm design, and also helps students prepare for research in the field of algorithms. Topics covered includes: Splay Trees, Amortized Time for Splay Trees, Maintaining Disjoint Sets, Binomial heaps, F-heap, Minimum Spanning Trees, Fredman-Tarjan MST Algorithm, Light Approximate Shortest Path Trees, Matchings, Hopcroft-Karp Matching Algorithm, Two Processor Scheduling, Network Flow - Maximum Flow Problem, The Max Flow Problem and Max-Flow Algorithm.

Author(s): Samir Khuller

161 Pages

Introduction to the Design and Analysis of Algorithms

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.

Author(s): Department of Computer Science at Duke University

NA Pages

Data Structures and Algorithms The Basic Toolbox

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

Author(s): K. Mehlhorn and P. Sanders

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

Data Structures and Algorithms (John Morris)

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.

Author(s): John Morris

NA Pages

Algorithms for Programmers (Jrg Arndt)

Currently this section contains no detailed description for the page, will update this page soon.

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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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