Michael T. Goodrich

Roberto Tamassia

Michael H. Goldwasser

Based on the authors’ market leading data structures booksin Java and C++, this book offers a comprehensive, definitiveintroduction to data structures in Python by authoritative authors.Data Structures and Algorithms in Python is the firstauthoritative object-oriented book available for Python datastructures. Designed to provide a comprehensive introduction todata structures and algorithms, including their design, analysis,and implementation, the text will maintain the same generalstructure as Data Structures and Algorithms in Java andData Structures and Algorithms in C++. Begins by discussing Python’s conceptually simple syntax,which allows for a greater focus on concepts. Employs a consistent object-oriented viewpoint throughout thetext. Presents each data structure using ADTs and their respectiveimplementations and introduces important design patterns as a meansto organize those implementations into classes, methods, andobjects. Provides a thorough discussion on the analysis and design offundamental data structures. Includes many helpful Python code examples, with source codeprovided on the website. Uses illustrations to present data structures and algorithms,as well as their analysis, in a clear, visual manner. Provides hundreds of exercises that promote creativity, helpreaders learn how to think like programmers, and reinforceimportant concepts. Contains many Python-code and pseudo-code fragments, andhundreds of exercises, which are divided into roughly 40%reinforcement exercises, 40% creativity exercises, and 20%programming projects.

Data Structures and Algorithms in Python

Introduction to computer security

Michael Goodrich and Roberto Tamassia, authors of the successful, Data Structures and Algorithms in Java, 2/e, have written Algorithm Engineering, a text designed to provide a comprehensive introduction to the design, implementation and analysis of computer algorithms and data structures from a modern perspective. This book offers theoretical analysis techniques as well as algorithmic design patterns and experimental methods for the engineering of algorithms. Market: Computer Scientists; Programmers.

Foundations, Analysis, and Internet Examples

Algorithm Design

Data structures and algorithms in Java

The design and analysis of efficient data structures has long been recognized as a key component of the Computer Science curriculum. Goodrich, Tomassia and Goldwasser's approach to this classic topic is based on the object-oriented paradigm as the framework of choice for the design of data structures. For each ADT presented in the text, the authors provide an associated Java interface. Concrete data structures realizing the ADTs are provided as Java classes implementing the interfaces. The Java code implementing fundamental data structures in this book is organized in a single Java package, net.datastructures. This package forms a coherent library of data structures and algorithms in Java specifically designed for educational purposes in a way that is complimentary with the Java Collections Framework.

Data Structures and Algorithms in Java

Foundations, Analysis and Internet Examples

The third edition of this conceptually elegant and pedagogically innovative text continues to incorporate the object-oriented design paradigm, using Java as the implementation language, while also providing intuition and analysis of fundamental data structures and algorithms. All of this is done in a clear, friendly writing style that uses visuals to introduce and simplify important analytic and mathematical concepts. * Entirely new chapter on recursion * Additional exercises on the analysis of simple algorithms * New case study on parenthesis matching and HTML validation

Catherine C. McGeoch

Symmetric multiprocessors (SMPs) dominate the high-end server market and are currently the primary candidate for constructing large scale multiprocessor systems. Yet, the design of e cient parallel algorithms for this platform c- rently poses several challenges. The reason for this is that the rapid progress in microprocessor speed has left main memory access as the primary limitation to SMP performance. Since memory is the bottleneck, simply increasing the n- ber of processors will not necessarily yield better performance. Indeed, memory bus limitations typically limit the size of SMPs to 16 processors. This has at least twoimplicationsfor the algorithmdesigner. First, since there are relatively few processors availableon an SMP, any parallel algorithm must be competitive with its sequential counterpart with as little as one processor in order to be r- evant. Second, for the parallel algorithm to scale with the number of processors, it must be designed with careful attention to minimizing the number and type of main memory accesses. In this paper, we present a computational model for designing e cient al- rithms for symmetric multiprocessors. We then use this model to create e cient solutions to two widely di erent types of problems - linked list pre x com- tations and generalized sorting. Both problems are memory intensive, but in die rent ways. Whereas generalized sorting algorithms typically require a large numberofmemoryaccesses, they areusuallytocontiguousmemorylocations. By contrast, prex computation algorithms typically require a more modest qu- tity of memory accesses, but they are are usually to non-contiguous memory locations.

International Workshop ALENEX'99 Baltimore, MD, USA, January 15-16, 1999, Selected Papers

Algorithm Engineering and Experimentation

This version of the book uses the latest Java technology, Java 2 Standard Edition Version 5.0 (J2SE V. 5.0), or otherwise known as "Version 5.0." This revolutionary book intertwines problem solving and software engineering with the study of traditional data structures topics. The book emphasizes the use of objects and object-oriented design. Early chapters provide background coverage of software engineering. Then, in the chapters on data structures, these principles are applied. The authors encourage use of a five-step process for the solution of case studies: problem specification, analysis, design, implementation, and testing. As is done in industry, these steps are sometimes performed in an iterative fashion rather than in strict sequence. The Java Application Programming Interface (API) is used throughout the text. Wherever possible, the specification and interface for a data structure follow the Java Collections Framework. Emphasises the use of objects and object-oriented design Provides a primer on the Java language and offers background coverage of software engineering Encourages an iterative five-step process for the solution of case studies: problem specification, analysis, design, implementation, and testing The Java Application Programming Interface (API) is used throughout

David M. Mount

Writing with a consistent object-oriented viewpoint, the authors put an emphasis on design and analysis with carefully developed C++ code and corresponding concepts.

Data Structures and Algorithms in C++

Using a unique multimedia format for learning the fundamentals of data structures and algorithms, this conceptually elegant and innovative text incorporates the object-oriented design paradigm with Java as the implementation language. The result is a learning experience that provides the fundamental intuition and analysis of each structure studied. A Web site complete with Java applications and applets accompanies the text. Includes CD-ROM with... The Microsoft Visual J++ programming environment.

"An updated, innovative approach to data structures and algorithms  Written by an author team of experts in their fields, this authoritative guide demystifies even the most difficult mathematical concepts so that you can gain a clear understanding of data structures and algorithms in C++.   The unparalleled author team incorporates the object-oriented design paradigm using C++ as the implementation language, while also providing intuition and analysis of fundamental algorithms.       Offers a unique multimedia format for learning the fundamentals of data structures and algorithms    Allows you to visualize key analytic concepts, learn about the most recent insights in the field, and do data structure design    Provides clear approaches for developing programs    Features a clear, easy-to-understand writing style that breaks down even the most difficult mathematical concepts      Building on the success of the first edition, this new version offers you an innovative approach to fundamental data structures and algorithms."--

Data structures and algorithms in C++

This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Algorithmic Engineering and Experimentation, ALENEX'99, held in Baltimore, Maryland, USA, in January 1999. The 20 revised full papers presented were carefully selected from a total of 42 submissions during two rounds of reviewing and improvement. The papers are organized in sections on combinatorial algorithms, computational geometry, software and applications, algorithms for NP-hard problems, and data structures.

Stephen G. Kobourov

This book constitutes the thoroughly refereed post-proceedings of the 10th International Symposium on Graph Drawing, GD 2002, held in Irvine, CA, USA, in August 2002.The 24 revised full papers, 9 short papers, and 7 software demonstrations presented together with a report on the GD 2002 graph drawing contest were carefully reviewed and selected from a total of 48 regular paper submissions. All current aspects of graph drawing are addressed.

Michael T. Goodrich

Books

Your next favorite book is out there