Computer Science Bookscomputer algorithm Books

Algorithms (Shai Simonson)

Advertisement

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.

Author(s):

sNA Pages

Advertisement

Advertisement

Similar Books
Introduction to Algorithms Lecture Notes

Introduction to Algorithms Lecture Notes

This note concentrates on the design of algorithms and the rigorous analysis of their efficiency. Topics covered includes: the basic definitions of algorithmic complexity, basic tools such as dynamic programming, sorting, searching, and selection; advanced data structures and their applications, graph algorithms and searching techniques such as minimum spanning trees, depth-first search, shortest paths, design of online algorithms and competitive analysis.

sNA Pages
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
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.

s112 Pages
Notes on Data Structures and Programming Techniques

Notes on Data Structures and Programming Techniques

Purposes to this note is to teach you to program in the C programming language, and to teach you how to choose, implement, and use data structures and standard programming techniques. Topics coverd includes: The Zoo and the Zoo Annex, The Linux programming environment, The C programming language, Data structures and programming techniques.

s530 Pages
Analysis and Design of Computer Algorithms by Ganesh Kumar

Analysis and Design of Computer Algorithms by Ganesh Kumar

This note covers the following topics: Divide And Conquer Strategy, Greedy Method, Minimum Spanning Trees, Dynamic Programming, Optimal Binary search trees, Backtracking Method, Branch and Bound, Lower bound Theory.

s85 Pages
Skiena's Algorithms Lectures

Skiena's Algorithms Lectures

This note covers the following topics: Introduction to Algorithms, Asymptotic Notation, Modeling or Logarithms, Elementary Data Structures, Dictionary data structures, Sorting, Heapsort or Priority Queues, Recurrence Relations, Introduction to NP-completeness, Reductions, Cook's Theorem or Harder Reduction, NP-completeness challenge, Approximation Algorithms and Heuristic Methods.

sNA Pages
Design and Analysis of Computer Algorithms (PDF 135P)

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.

s135 Pages
Lecture Notes for Algorithm Analysis and Design (PDF 124P)

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.

s128 Pages
Information Theory, Inference, and Learning Algorithms (David J.C.             MacKay)

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

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

s Pages
Efficient Algorithms for Sorting and Synchronization (Andrew Tridgell, PDF)

Efficient Algorithms for Sorting and Synchronization (Andrew Tridgell, PDF)

This thesis presents efficient algorithms for internal and external parallel sorting and remote data update. Topics covered includes: Internal Parallel Sorting, External Parallel Sorting, The rsync algorithm, rsync enhancements and optimizations and Further applications for rsync.

s115 Pages