computer algorithm Books

Algorithms for Programmers (Jrg Arndt) PDF

Algorithms for Programmers (Jrg Arndt) PDF

Algorithms for Programmers (Jrg Arndt) PDF

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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.

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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.

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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.

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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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Introduction to Algorithms

In computer science, an algorithm is a self-contained step-by-step set of operations to be performed. Topics covered includes: Algorithmic Primitives for Graphs, Greedy Algorithms, Divide and Conquer, Dynamic Programming, Network Flow, NP and Computational Intractability, PSPACE, Approximation Algorithms, Local Search, Randomized Algorithms.

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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.

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Lecture Notes on Algorithms

This lecture note explains data structures and algorithms, focusing on advanced topics such as graph theory, randomized algorithms, and combinatorial search.

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

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Sorting and Searching Algorithms (Thomas Niemann)

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Dictionary of Algorithms and Data Structures

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