computer algorithm Books

Lecture Notes on Computational Complexity (Luca Trevisan)

Lecture Notes on Computational Complexity (Luca Trevisan) Lecture Notes on Computational Complexity (Luca Trevisan)

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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

Design and Analysis of Algorithms Course Notes

This note explains core material in data structures and algorithm design, and also helps students prepare for research in the field of algorithms. Topics covered includes: Splay Trees, Amortized Time for Splay Trees, Maintaining Disjoint Sets, Binomial heaps, F-heap, Minimum Spanning Trees, Fredman-Tarjan MST Algorithm, Light Approximate Shortest Path Trees, Matchings, Hopcroft-Karp Matching Algorithm, Two Processor Scheduling, Network Flow - Maximum Flow Problem, The Max Flow Problem and Max-Flow Algorithm. 161 Pages

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. NA Pages

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. NA Pages

Design and Analysis of Computer Algorithms (PDF 135P)

This lecture note discusses the approaches to designing optimization algorithms, including dynamic programming and greedy algorithms, graph algorithms, minimum spanning trees, shortest paths, and network flows. Also it briefly discusses algorithmic problems arising from geometric settings, that is, computational geometry. 135 Pages

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. 128 Pages

Algorithms (Shai Simonson)

This note covers the design of algorithms according to methodology and application. Methodologies include: divide and conquer, dynamic programming, and greedy strategies. Applications involve: sorting, ordering and searching, graph algorithms, geometric algorithms, mathematical (number theory, algebra and linear algebra) algorithms, and string matching algorithms. NA Pages

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. NA Pages

Computer Animation Algorithms Techniques (Rick Parent)

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Lecture Notes on Computational Complexity (Luca Trevisan)

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