computer algorithm Books

# Lecture Notes Introduction to Computer Algorithms

## Lecture Notes Introduction to Computer Algorithms

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.

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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.

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Lecture Notes On Design And Analysis Of Algorithms

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Algorithms and Data Structures Lecture Materials

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Introduction to Algorithms

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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.

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Design and Analysis of Computer Algorithms (PDF 135P)

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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.

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

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Introduction to Complexity Theory (Oded Goldreich)

This book explains the following topics: intrinsic complexity of computational tasks, Computational Complexity, P, NP, and NP-Completeness, relations between various computational phenomena.

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