## subcategories

## see also

## e-books in Algorithms & Data Structures category

**Think Data Structures**

by

**Allen B. Downey**-

**Green Tea Press**,

**2016**

This book is intended for college students in computer science and related fields. The book also presents basic aspects of software engineering practice, including version control and unit testing. Each chapter ends with an exercises.

(

**12099**views)

**Data Structures and Algorithms**

by

**Catherine Leung**-

**GitBook**,

**2017**

This book is a survey of several standard algorithms and data structures. It will also introduce the methodology used to perform a formal analysis of an algorithm so that the reason behind the different implementations can be better understood.

(

**12167**views)

**Elementary Algorithms**

by

**Larry LIU Xinyu**-

**Github**,

**2016**

'Elementary Algorithms' is a free book about elementary algorithms and data structures. This book doesn't only focus on an imperative (or procedural) approach, but also includes purely functional algorithms and data structures.

(

**9138**views)

**Notes on Data Structures and Programming Techniques**

by

**James Aspnes**-

**Yale University**,

**2015**

Topics include programming in C; data structures (arrays, stacks, queues, lists, trees, heaps, graphs); sorting and searching; storage allocation and management; data abstraction; programming style; testing and debugging; writing efficient programs.

(

**7825**views)

**Purely Functional Data Structures**

by

**Chris Okasaki**-

**Carnegie Mellon University**,

**1996**

This book describes data structures from the point of view of functional languages. The author includes both classical data structures, such as red-black trees, and a host of new data structures developed exclusively for functional languages.

(

**9562**views)

**Algorithms and Data Structures: With Applications to Graphics and Geometry**

by

**Jurg Nievergelt, Klaus Hinrichs**-

**Prentice Hall**,

**2011**

Contents: Programming environments for motion, graphics, and geometry; Programming concepts - beyond notation; Objects, algorithms, programs; Complexity of problems and algorithms; Data structures; Interaction between algorithms and data structures.

(

**9273**views)

**LEDA: A Platform for Combinatorial and Geometric Computing**

by

**K. Mehlhorn, St. NĂ¤her**-

**Cambridge University Press**,

**1999**

The book treats the architecture, the implementation, and the use of the LEDA system. LEDA is a library of efficient data types and algorithms and a platform for combinatorial and geometric computing, written in C++ and freely available worldwide.

(

**9860**views)

**Computer Arithmetic of Geometrical Figures: Algorithms and Hardware Design**

by

**Solomon I. Khmelnik**-

**MiC**,

**2013**

This book describes various processors, designed for affine transformations of many-dimensional figures -- planar and spatial. Designed for students, engineers and developers, who intend to use the computer arithmetic of geometrical figures.

(

**10521**views)

**Introduction to Design Analysis of Algorithms**

by

**K. Raghava Rao**-

**Smashwords**,

**2013**

This book provides a complete information to the modern study of computer algorithms. It presents many concepts in a considerable depth, so that it can be understand by all levels of readers. Each and every concept is explained by suitable examples.

(

**12646**views)

**Open Data Structures: An Introduction**

by

**Pat Morin**-

**AU Press**,

**2013**

Offered as an introduction to the field of data structures and algorithms, the book covers the implementation and analysis of data structures for sequences (lists), queues, priority queues, unordered dictionaries, ordered dictionaries, and graphs.

(

**15592**views)

**Problem Solving with Algorithms and Data Structures Using Python**

by

**Brad Miller, David Ranum**-

**Franklin, Beedle & Associates**,

**2011**

This textbook is designed as a text for a first course on data structures and algorithms, taught as the second course in the computer science curriculum. We cover abstract data types and data structures, writing algorithms, and solving problems.

(

**18199**views)

**Algorithms**

by

**Robert Sedgewick, Kevin Wayne**-

**Addison-Wesley Professional**,

**2011**

This textbook surveys the most important algorithms and data structures in use today. Applications to science, engineering, and industry are a key feature of the text. We motivate each algorithm by examining its impact on specific applications.

(

**13015**views)

**Data Structures and Algorithm Analysis in Java**

by

**Clifford A. Shaffer**-

**Dover Publications**,

**2012**

A comprehensive treatment focusing on the creation of efficient data structures and algorithms, explaining how to select the data structure best suited to specific problems. It uses Java programming language and is suitable for second-year courses.

(

**19962**views)

**Data Structures and Algorithm Analysis in C++**

by

**Clifford A. Shaffer**-

**Dover Publications**,

**2012**

A comprehensive treatment focusing on efficient data structures and algorithms, this text explains how to select or design the data structure best suited to specific problems. It uses C++ programming language and is suitable for second-year courses.

(

**23913**views)

**Randomized Algorithms**

by

**Wolfgang Merkle**-

**ESSLLI**,

**2001**

The first part of the course gives an introduction to randomized algorithms and to standard techniques for their derandomization. The second part presents applications of the probabilistic method to the construction of logical models.

(

**11648**views)

**Search Algorithms and Applications**

by

**Nashat Mansour**-

**InTech**,

**2011**

This book demonstrates the applicability of search algorithms for the purpose of developing solutions to problems that arise in a variety of domains. It is targeted to a wide group of readers: researchers, graduate students, and practitioners.

(

**15627**views)

**Algorithms and Data Structures: The Basic Toolbox**

by

**K. Mehlhorn, P. Sanders**-

**Springer**,

**2008**

This book is a concise introduction addressed to students and professionals familiar with programming and basic mathematical language. Individual chapters cover arrays and linked lists, hash tables and associative arrays, sorting and selection, etc.

(

**14778**views)

**Algorithms and Data Structures for External Memory**

by

**Jeffrey Scott Vitter**-

**Now Publishers**,

**2008**

The book describes several useful paradigms for the design and implementation of efficient EM algorithms and data structures. The problem domains considered include sorting, permuting, FFT, scientific computing, computational geometry, graphs, etc.

(

**11845**views)

**Vector Models for Data-Parallel Computing**

by

**Guy Blelloch**-

**The MIT Press**,

**1990**

Vector Models for Data-Parallel Computing describes a model of parallelism that extends and formalizes the Data-Parallel model on which the Connection Machine and other supercomputers are based. It presents many algorithms based on the model.

(

**12133**views)

**The Design of Approximation Algorithms**

by

**D. P. Williamson, D. B. Shmoys**-

**Cambridge University Press**,

**2010**

This book shows how to design approximation algorithms: efficient algorithms that find provably near-optimal solutions. It is organized around techniques for designing approximation algorithms, including greedy and local search algorithms.

(

**16166**views)

**A Practical Introduction to Data Structures and Algorithm Analysis**

by

**Clifford A. Shaffer**-

**Virginia Tech**,

**2010**

A comprehensive treatment of fundamental data structures and algorithm analysis with a focus on how to create efficient data structures and algorithms. Aims to help the reader gain an understanding of how to select or design the best data structure.

(

**13401**views)

**Essentials of Metaheuristics**

by

**Sean Luke**,

**2009**

This is an open set of lecture notes on metaheuristics algorithms, intended for undergraduate students, practitioners, programmers, and other non-experts. It was developed as a series of lecture notes for an undergraduate course.

(

**11531**views)

**Efficient Algorithms for Sorting and Synchronization**

by

**Andrew Tridgell**-

**samba.org**,

**1999**

This thesis presents efficient algorithms for parallel sorting and remote data update. The sorting algorithms approach the problem by concentrating first on efficient but incorrect algorithms followed by a cleanup phase that completes the sort.

(

**13534**views)

**Lecture Notes on Bucket Algorithms**

by

**Luc Devroye**-

**Birkhauser**,

**1986**

In these lecture notes, we attempt to explain the connection between the expected time of various bucket algorithms and the distribution of the data. The results are illustrated on standard searching, sorting and selection problems.

(

**11443**views)

**Modern Computer Arithmetic**

by

**Richard P. Brent, Paul Zimmermann**-

**LORIA**,

**2009**

This book collects in the same document all state-of-the-art algorithms in multiple precision arithmetic (integers, integers modulo n, floating-point numbers). The book will be useful for graduate students in computer science and mathematics.

(

**15413**views)

**Data Structures and Algorithms**

by

**John Morris**,

**1998**

The text focuses on data structures and algorithms for manipulating them. Data structures for storing information in tables, lists, trees, queues and stacks are covered. Some basic graph and discrete transform algorithms are also discussed.

(

**15127**views)

**Knapsack Problems: Algorithms and Computer Implementations**

by

**Silvano Martello, Paolo Toth**-

**John Wiley & Sons**,

**1990**

The book on exact and approximate algorithms for a number of important problems in the field of integer linear programming, which the authors refer to as 'knapsack'. Includes knapsack problems such as binary, bounded, unbounded or binary multiple.

(

**18019**views)

**Average Case Analysis of Algorithms on Sequences**

by

**Wojciech Szpankowski**-

**Wiley-Interscience**,

**2001**

A book on a topic that has witnessed a surge of interest over the last decade, owing in part to several novel applications in data compression and computational molecular biology. It describes methods employed in average case analysis of algorithms.

(

**12174**views)

**Algorithms and Data Structures**

by

**Niklaus Wirth**-

**Prentice Hall**,

**1985**

The book treats practically important algorithms and data structures. It starts with a chapter on data structure, then it treats sorting algorithms, concentrates on several examples of recursion, and deals with dynamic data structures.

(

**21434**views)

**Algorithms for Clustering Data**

by

**Anil K. Jain, Richard C. Dubes**-

**Prentice Hall**,

**1988**

The book is useful for scientists who gather data and seek tools for analyzing and interpreting data. It will be a reference for scientists in a variety of disciplines and can serve as a textbook for a graduate course in exploratory data analysis.

(

**20625**views)

**Tabu Search**

by

**Wassim Jaziri**-

**InTech**,

**2008**

Tabu search is a mathematical optimization method. The goal of the book is to report original researches on algorithms and applications of Tabu Search to real-world problems as well as recent improvements and extensions on its concepts and algorithms.

(

**14089**views)

**Algorithms**

by

**Ian Craw, John Pulham**-

**University of Aberdeen**,

**1999**

This course studies computer algorithms, their construction, validation and effectiveness. A number of topics will be covered: a general introduction to the subject, the problem of sorting data sets into order, the theory of formal grammars, etc.

(

**15499**views)

**Greedy Algorithms**

by

**Witold Bednorz**-

**InTech**,

**2008**

Each chapter comprises a separate study on some optimization problem giving both an introductory look into the theory the problem comes from and some new developments invented by authors. Usually some elementary knowledge is assumed.

(

**15248**views)

**Data Structures and Algorithms: Annotated Reference with Examples**

by

**Granville Barnett, Luca Del Tongo**-

**DotNetSlackers**,

**2008**

The book provides implementations of common and uncommon algorithms in pseudocode which is language independent and provides for easy porting to most programming languages. We assume that the reader is familiar with the object oriented concepts.

(

**18847**views)

**Algorithms for Modular Elliptic Curves**

by

**J. E. Cremona**-

**Cambridge University Press**,

**1992**

The author describes the construction of modular elliptic curves giving an algorithm for their computation. Then algorithms for the arithmetic of elliptic curves are presented. Finally, the results of the implementations of the algorithms are given.

(

**17787**views)

**Algorithms**

by

**Jeff Erickson**-

**University of Illinois at Urbana-Champaign**,

**2009**

These are lecture notes, homework questions, and exam questions from algorithms courses the author taught at the University of Illinois. It is assumed that the reader has mastered the material covered in the first 2 years of a typical CS curriculum.

(

**17517**views)

**Algorithms: Fundamental Techniques**

by

**Macneil Shonle, Matthew Wilson, Martin Krischik**-

**Wikibooks**,

**2006**

An accessible introduction into the design and analysis of efficient algorithms. It explains only the most basic techniques, and gives intuition for and an introduction to the rigorous mathematical methods needed to describe and analyze them.

(

**16917**views)

**Computational Geometry: Methods and Applications**

by

**Jianer Chen**,

**1996**

The author concentrates on four themes in computational geometry: the construction of convex hulls, proximity problems, searching problems and intersection problems. Solving manufacturing problems requires application of fast-algorithm techniques.

(

**16259**views)

**Algorithmic Mathematics**

by

**Leonard Soicher, Franco Vivaldi**-

**Queen Mary University of London**,

**2004**

This text is a course in mathematical algorithms, intended for second year mathematics students. It introduces the algorithms for computing with integers, polynomials and vector spaces. The course requires no computing experience.

(

**24251**views)

**Planning Algorithms**

by

**Steven M. LaValle**-

**Cambridge University Press**,

**2006**

Written for computer scientists and engineers with interests in artificial intelligence, robotics, or control theory, this book tightly integrates a vast body of literature from several fields into a coherent source for reference in applications.

(

**20628**views)

**Problems on Algorithms, 2nd edition**

by

**Ian Parberry, William Gasarch**-

**Prentice Hall**,

**2002**

A collection of problems on the design, analysis, and verification of algorithms for practicing programmers who wish to hone and expand their skills, as a supplementary text for students, and as a self-study text for graduate students.

(

**18754**views)

**Design and Analysis of Computer Algorithms**

by

**David M. Mount**-

**University of Maryland**,

**2003**

The focus is on how to design good algorithms, and how to analyze their efficiency. The text covers some preliminary material, optimization algorithms, graph algorithms, minimum spanning trees, shortest paths, network flows and computational geometry.

(

**18483**views)

**Design and Analysis of Algorithms**

by

**Herbert Edelsbrunner**-

**Duke University**,

**2008**

The main topics to be covered in this course are: Design Techniques; Searching; Prioritizing; Graph Algorithms; Topological Algorithms; Geometric Algorithms; NP-completeness. The emphasis will be on algorithm design and on algorithm analysis.

(

**19806**views)

**A=B**

by

**Marko Petkovsek, Herbert S. Wilf, Doron Zeilberger**-

**AK Peters, Ltd.**,

**1996**

The book shows how some computer algorithms can simplify complex summations and if there is no such simplification they will prove this to be the case. The authors present the underlying mathematical theory, and the principle theorems and proofs.

(

**26420**views)

**Combinatorial Algorithms**

by

**Albert Nijenhuis, Herbert S. Wilf**-

**Academic Press Inc**,

**1978**

This is a collection of mathematical algorithms with many new and interesting examples in this second edition. The authors tried to place in the reader's hands a kit of building blocks with which the reader can construct more elaborate structures.

(

**19182**views)

**Algorithms and Complexity**

by

**Herbert S. Wilf**-

**AK Peters, Ltd.**,

**1994**

An introductory textbook on the design and analysis of algorithms. Recursive algorithms are illustrated by Quicksort, FFT, and fast matrix multiplications. Algorithms in number theory are discussed with some applications to public key encryption.

(

**21285**views)