Computer Science Bookscomputer algorithm Books

Data Structures and Algorithms Annotated Reference with Examples

Advertisement

Data Structures and Algorithms Annotated Reference with Examples

Data Structures and Algorithms Annotated Reference with Examples

This book provides implementations of common and uncommon algorithms in pseudocode which is language independent and provides for easy porting to most imperative programming language. Topics covered includes: Data Structures, Linked Lists, Binary Search Tree, Heap, Sets, Queues, Algorithms, Sorting, Sorting.

Author(s):

s112 Pages

Advertisement

Advertisement

Similar Books
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.

sNA Pages
Design and Analysis of Algorithms Course Notes

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.

s161 Pages
Electronic Lecture Notes Data Structures And Algorithms

Electronic Lecture Notes Data Structures And Algorithms

This Lecture Notes is organized into eleven chapters. Besides the subject matter, each chapter includes a list of problems and a list of programming projects. Also, each chapter concludes with a list of references for further reading and exploration of the subject. Topics covered includes: Lists, Dictionaries, Binary Trees, Balanced Trees , Priority Queues , Directed Graphs, Undirected Graphs, Sorting Methods, 0 Introduction to NP-Completeness.

s293 Pages
Introduction to the Design and Analysis of Algorithms

Introduction to the Design and Analysis of Algorithms

This note introduces a number of important algorithm design techniques as well as basic algorithms that are interesting both from a theoretical and also practical point of view. Topics covered are: Introduction to Algorithms, Asymptotic Analysis, Recurrence Equations, Sorting Algorithms, Search Trees, Randomized Algorithms and Quicksort, Selection Algorithms, Number Theory and Cryptography Algorithms, Graph algorithms, Greedy Algorithms and External Memory Algorithms.

sNA Pages
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.

sNA Pages
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.

sNA Pages
Algorithms (Shai Simonson)

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.

sNA Pages
An Introduction to Computational Complexity

An Introduction to Computational Complexity

This note covers the following topics: Computational Models, Complexity measures, Power increasing resourses, Basic relatton amomg the models and measures, Reducibility, completeness and closure under reductions, Deterministics and nondeterministics logarithmic space, Deterministics polynomial time, Polynomial Hierarchy and Polynomial space.

s85 Pages
Lecture Notes on Computational Complexity (Luca Trevisan)

Lecture Notes on Computational Complexity (Luca Trevisan)

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

s Pages