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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
Advanced Algorithms Lectures by Shuchi Chawla
This note introduces students to advanced techniques for the design and analysis of algorithms, and explores a variety of applications. Topics covered includes: Greedy algorithms, Dynamic programming, Network flow applications, matchings, Randomized algorithms, Karger's min-cut algorithm, NP-completeness, Linear programming, LP duality, Primal-dual algorithms, Semi-definite Programming, MB model contd., PAC model, Boosting in the PAC framework.
Author(s): Shuchi Chawla
195 Pages
Introduction to Algorithms by Shayan Oveis Gharan
This book explains the following topics: Stable Matchings, Algrithm Design by Induction, Graphs, Trees or BFS, Connected Comps/Bipartite Graphs, DFS or Topological Ordering, Interval Scheduling, Interval Partitioning, MST, MST, Union find, Closest Points, Master Theorem, Integer Multiplication, Median, Vertex Cover or Set Cover, Network Connectivity, Image Segmentation, Reductions, NP-Completeness, Linear Programming.
Author(s): Shayan Oveis Gharan
NA 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
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
Applied Algorithms Lecture Slides
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.
Author(s): Richard Anderson
NA 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
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
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