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List of algorithms Mirror

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List of algorithms Mirror

List of algorithms Mirror

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Introduction to Algorithms Lecture Notes

Introduction to Algorithms Lecture Notes

This note concentrates on the design of algorithms and the rigorous analysis of their efficiency. Topics covered includes: the basic definitions of algorithmic complexity, basic tools such as dynamic programming, sorting, searching, and selection; advanced data structures and their applications, graph algorithms and searching techniques such as minimum spanning trees, depth-first search, shortest paths, design of online algorithms and competitive analysis.

sNA Pages
Advanced Algorithms Lectures and Resources

Advanced Algorithms Lectures and Resources

This note will cover classic and modern algorithmic ideas that are central to many areas of Computer Science. The focus is on most powerful paradigms and techniques of how to design algorithms, and measure their efficiency. The topics will include hashing, sketching, dimension reduction, linear programming, spectral graph theory, gradient descent, multiplicative weights, compressed sensing, and others.

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Algorithms and Data Structures Lecture Materials

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.

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Analysis and Design of Computer Algorithms by Ganesh Kumar

Analysis and Design of Computer Algorithms by Ganesh Kumar

This note covers the following topics: Divide And Conquer Strategy, Greedy Method, Minimum Spanning Trees, Dynamic Programming, Optimal Binary search trees, Backtracking Method, Branch and Bound, Lower bound Theory.

s85 Pages
Data Structures and Algorithms The Basic Toolbox

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.

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Data Structures and Algorithms

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.

s80 Pages
Applied Algorithms Lecture Slides

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.

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

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.

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Computer Programming Algorithms Directory

Computer Programming Algorithms Directory

This note covers the following topics: Encryption Algorithms, Genetic Algorithms, Geographic Information Systems Algorithms, Sorting Algorithms, Search Algorithms, Tree Algorithms, Computational Geometry Algorithms, Phonetic Algorithms and Project Management Algorithms.

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Dictionary of Algorithms and Data Structures

Dictionary of Algorithms and Data Structures

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

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