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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

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Advanced Algorithms by Anupam Gupta

The PDF covers the following topics related to Computer Algorithms : Discrete Algorithms, Minimum Spanning Trees, Arborescences: Directed Spanning Trees, Dynamic Algorithms for Graph Connectivity, Shortest Paths in Graphs, Low-Stretch Spanning Trees, Graph Matchings I: Combinatorial Algorithms, Graph Matchings II: Weighted Matchings, Graph Matchings III: Algebraic Algorithms, The Curse of Dimensionality, and Dimension Reduction, Dimension Reduction and the JL Lemma, Streaming Algorithms, Dimension Reduction: Singular Value Decompositions, From Discrete to Continuous Algorithms, Online Learning: Experts and Bandits, Solving Linear Programs using Experts, Approximate Max-Flows using Experts, The Gradient Descent Framework, Mirror Descent, The Centroid and Ellipsoid Algorithms, Interior-Point Methods, Combating Intractability, Approximation Algorithms via SDPs, Online Algorithms, Additional Topics, Prophets and Secretaries.

Author(s): Anupam Gupta

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Lecture Notes On Design And Analysis Of Algorithms

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Author(s): Mr. S.K. Sathua, Dr. M.R. Kabat and Dr. R. Mohanty

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Advanced Algorithms by Prof. Michel Goemans

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Author(s): Prof. Michel Goemans

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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

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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

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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

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