Algorithms Lecture Notes

Distributed Algorithms Lecture Notes

Distributed algorithms are algorithms designed to run on multiple processors, without tight centralized control. Topics covered includes: Variations in model assumptions, Top-level organization is by the timing model, Synchronous model, Asynchronous model, Partially synchronous model, Synchronous networks.

Author(s): Prof. Nancy Lynch

NA 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

Algorithms and Data Structures Lecture Materials

This note will examine various data structures for storing and accessing information together with relationships between the items being stored, and algorithms for efficiently finding solutions to various problems, both relative to the data structures and queries and operations based on the relationships between the items stored. Topics covered includes: Algorithm analysis, List, stacks and queues, Trees and hierarchical orders, Ordered trees, Search trees, Priority queues, Sorting algorithms, Hash functions and hash tables, Equivalence relations and disjoint sets, Graph algorithms, Algorithm design and Theory of computation.

Author(s): Douglas Wilhelm Harder

NA Pages

Data Structures and Algorithm Analysis

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.

Author(s): Clifford A. Shaffer

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

Lecture Notes on Data Structures

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.

Author(s): Ray Toal

NA Pages

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

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.

Author(s): Sandeep Sen

128 Pages

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

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

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Algorithms for Programmers (Jrg Arndt)

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

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Pages