computer algorithm Books

# Design and Analysis of Algorithms

## Design and Analysis of Algorithms

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.

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##### Similar Books

Lecture Notes On Design And Analysis Of Algorithms

This note explains the following topics related to Algorithm Analysis and Design: Introduction to Design and analysis of algorithms, Growth of Functions, Recurrences, Solution of Recurrences by substitution,Recursion tree method, Master Method, Design and analysis of Divide and Conquer Algorithms, Worst case analysis of merge sort, quick sort and binary search, Heaps and Heap sort, Priority Queue, Lower Bounds for Sorting.

80 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.

95 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.

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.

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.

NA 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.

NA Pages

Algorithms Lecture Notes

This note covers the following topics: Mathematics for Algorithmic, Greedy Algorithms, Divide and Conquer Algorithms, Dynamic Programming, Amortized Analysis, Hash Table, Binary Search Tree, Graph Algorithms, String Matching, Sorting and Approximate Algorithms

NA Pages

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

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Sorting and Searching Algorithms (Thomas Niemann)

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Pages

Dictionary of Algorithms and Data Structures

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