Texts in Computer Science - Böcker

"My absolute favorite for this kind of interview preparation is Steven Skiena’s The Algorithm Design Manual. More than any other book it helped me understand just how astonishingly commonplace … graph problems are -- they should be part of every working programmer’s toolkit. The book also covers basic data structures and sorting algorithms, which is a nice bonus. … every 1 – pager has a simple picture, making it easy to remember. This is a great way to learn how to identify hundreds of problem types." (Steve Yegge, Get that Job at Google)"Steven Skiena’s Algorithm Design Manual retains its title as the best and most comprehensive practical algorithm guide to help identify and solve problems. … Every programmer should read this book, and anyone working in the field should keep it close to hand. … This is the best investment … a programmer or aspiring programmer can make." (Harold Thimbleby, Times Higher Education)"It is wonderful to open to a random spot and discover aninteresting algorithm. This is the only textbook I felt compelled to bring with me out of my student days.... The color really adds a lot of energy to the new edition of the book!" (Cory Bart, University of Delaware)"The is the most approachable book on algorithms I have."   (Megan Squire, Elon University)---This newly expanded and updated third edition of the best-selling classic continues to take the "mystery" out of designing algorithms, and analyzing their efficiency.  It serves as the primary textbook of choice for algorithm design courses and interview self-study, while maintaining its status as the premier practical reference guide to algorithms for programmers, researchers, and students. The reader-friendly Algorithm Design Manual provides straightforward access to combinatorial algorithms technology, stressing design over analysis.  The first part, Practical Algorithm Design, provides accessible instruction on methods for designing and analyzing computer algorithms.  The second part, the Hitchhiker's Guide to Algorithms, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations, and an extensive bibliography. NEW to the third edition: -- New and expanded coverage of randomized algorithms, hashing, divide and conquer, approximation algorithms, and quantum computing -- Provides full online support for lecturers, including an improved website component with lecture slides and videos -- Full color illustrations and code instantly clarify difficult concepts -- Includes several new "war stories" relating experiences from real-world applications-- Over 100 new problems, including programming-challenge problems from LeetCode and Hackerrank. -- Provides up-to-date links leading to the best implementations available in C, C++, and Java Additional Learning Tools: -- Contains a unique catalog identifying the 75 algorithmic problems that arise most often in practice, leading the reader down the right path to solve them -- Exercises include "job interview problems" from major software companies -- Highlighted "take home lessons" emphasize essential concepts -- The "no theorem-proof" style provides a uniquely accessible and intuitive approach to a challenging subject -- Many algorithms are presented with actual code (written in C) -- Provides comprehensive references to both survey articles and the primary literature Written by a well-known algorithms researcher who received the IEEE Computer Science and Engineering Teaching Award, this substantially enhanced third edition of The Algorithm Design Manual is an essential learning tool for students and professionals needed a solid grounding in algorithms.   Professor Skiena is also the author of the popular Springer texts, The Data Science Design Manual and Programming Challenges: The Programming Contest Training Manual.

This textbook describes the theory and methodology of digital forensic examinations, presenting examples developed in collaboration with police authorities to ensure relevance to real-world practice. The coverage includes discussions on forensic artifacts and constraints, as well as forensic tools used for law enforcement and in the corporate sector. Emphasis is placed on reinforcing sound forensic thinking, and gaining experience in common tasks through hands-on exercises.This enhanced third edition describes practical digital forensics with open-source tools and includes an outline of current challenges and research directions.Topics and features:Outlines what computer forensics is, and what it can do, as well as what its limitations areDiscusses both the theoretical foundations and the fundamentals of forensic methodologyReviews broad principles that are applicable worldwideExplains how to find and interpret several important artifactsDescribes free and open-source software toolsFeatures content on corporate forensics, ethics, SQLite databases, triage, and memory analysisIncludes new supporting video lectures on YouTubeThis easy-to-follow primer is an essential resource for students of computer forensics, and will also serve as a valuable reference for practitioners seeking instruction on performing forensic examinations.

The challenges of problems from international programming competitions are an effective way to improve your algorithmic and coding skills and understanding. This volume uses international programming competition-type problems to motivate the study of algorithms, programming, and other topics in computer science. The book includes more than 100 programming challenges, as well as the theory and key concepts necessary for approaching them. Problems are organized by topic, and supplemented by complete tutorial material. Readers gain a concrete understanding of both algorithmic techniques and advanced coding topics. Unique Features:- Offers a wealth of rich programming problems suitable for self-study - all with on-line judging at www programming-challenges.com- Presents practice training for all major programming contests - ACM International Collegiate Programming Contest (ACM ICPC), International Olympiad in Informatics (IOI), and Topcoder Challenge- Serves as a convenient, web-based means of adding a programming component to any algorithms or software engineering course - Contains complete working code for fundamental data structures and graph, string, numerical and geometric algorithms- Provides a brief-yet-thorough treatment of key elements in number theory, geometry, dynamic programming, and graph algorithms - Supports all popular programming languages (C, C++, Pascal, Java)Steven S.Skiena is a member of the faculty of computer science at SUNY Stony Brook and is author of many widely used books, including The Algorithm Design Manual. He received the 2001 IEEE Computer Society Undergraduate Teaching Award. Miguel Revilla is a member of the faculty of computer science at the University of Valladolid, Spain. He is official website archivist of the ACM ICPC and creator/maintainer of the primary robot-judge, contest-hosting website.

Assembly language continues to hold a core position in the programming world because of its similar structure to machine language and its very close links to underlying computer-processor architecture and design. These features allow for high processing speed, low memory demands, and the capacity to act directly on the system's hardware. This completely revised second edition of the highly successful Introduction to Assembly Language Programming introduces the reader to assembly language programming and its role in computer programming and design. The focus is on providing readers with a firm grasp of the main features of assembly programming, and how it can be used to improve a computer's performance. The revised edition covers a broad scope of subjects and adds valuable material on protected-mode Pentium programming, MIPS assembly language programming, and use of the NASM and SPIM assemblers for a Linux orientation. All of the language's main features are covered in depth. The book requires only some basic experience with a structured, high-level language.Topics and Features: Introduces assembly language so that readers can benefit from learning its utility with both CISC and RISC processors [ NEW ].- Employs the freely available NASM assembler, which works with both Microsoft Windows and Linux operating systems [ NEW ].- Contains a revised chapter on "Basic Computer Organization" [ NEW].- Uses numerous examples, hands-on exercises, programming code analyses and challenges, and chapter summaries.- Incorporates full new chapters on recursion, protected-mode interrupt processing, and floating-point instructions [ NEW ].Assembly language programming is part of several undergraduate curricula in computer science, computer engineering, and electrical engineering. In addition, this newly revised text/reference can be used as an ideal companion resource in a computer organization course or as a resource for professional courses.

This textbook introduces software engineering to advanced-level undergraduate and graduate students of computer science. It emphasizes a case-study approach whereby a project is developed through the course of the book, illustrating the different activities of software development. The sequence of chapters is essentially the same as the sequence of activities performed during a typical software project. The revised edition updates this sequence for today's standards and adds a valuable chapter on architecture. All activities, including quality assurance and control activities, are described in each chapter as integral activities for that phase of development. Similarly, the author carefully introduces appropriate metrics for controlling and assessing the software process. The text is bolstered by numerous examples, chapter summaries, a helpful bibliography, and good index.

The aim of this textbook is to present an account of the theory of computation. After introducing the concept of a model of computation and presenting various examples, the author explores the limitations of effective computation via basic recursion theory. Self-reference and other methods are introduced as fundamental and basic tools for constructing and manipulating algorithms. From there the book considers the complexity of computations and the notion of a complexity measure is introduced. Finally, the book culminates in considering time and space measures and in classifying computable functions as being either feasible or not. The author assumes only a basic familiarity with discrete mathematics and computing, making this textbook ideal for a graduate-level introductory course. It is based on many such courses presented by the author and so numerous exercises are included. In addition, the solutions to most of these exercises are provided.

This textbook provides a first introduction to mathematical logic which is closely attuned to the applications of logic in computer science. In it the authors emphasize the notion that deduction is a form of computation. Whilst all the traditional subjects of logic are covered thoroughly: syntax, semantics, completeness, and compactness; much of the book deals with less traditional topics such as resolution theorem proving, logic programming and non-classical logics - modal and intuitionistic - which are becoming increasingly important in computer science. No previous exposure to logic is assumed and so this will be suitable for upper level undergraduates or beginning graduate students in computer science or mathematics.From reviews of the first edition: "...must surely rank as one of the most fruitful textbooks introduced into computer science ...We strongly suggest it as a textbook ..." SIGACT News

Concurrent computing is gaining ground in interest as it becomes increasingly feasible to implement distributed computing across networks of workstations. This book, by one of the subject's leading figures, provides a comprehensive survey of the subject beginning with proposotional logic and concluding with concurrent programming. It is based on graduate courses taught at Cornell University and is designed to be used as a graduate text. There are exercises at the end of each chapter to extend and illustrate the main themes covered. Professor Schneier emphasizes the use of formal methods and assertional reasoning using notation and paradigms drawn from programming to drive the exposition. As a result, all those interested in studying concurrent computing will find this to be an invaluable approach to the subject.

The book 'formal methods for software' presents a collection of current methods for dealing with software reliability. It compares between these methods, and shows their advantages and disadvantages. The book presents a description of the techniques, intended for a nonexpert audience with some minimal technical background (e.g., some training in software engineering, or basic computer science courses). It also describes some advanced techniques, aimed at researchers and practitioners in software engineering. This text/reference is intended to be used as an introduction to software methods techniques, a source for learning about various ways to enhanced software reliability, a reference on formal methods technique, and also as a basis for a one semester university course in this subject. It suggests various projects and exercises for achieving "hands-on" experience with the various formal methods tools.

Computer science and engineering curricula have been evolving at a fast pace to keep up with the developments in the area. There are separate books available on assembly language programming and computer organization. There is a definite need to support the courses that combine assembly language programming and computer organization. The book is suitable for a first course in computer organization. The style is similar to that of the author's assembly language book in that it strongly supports self-study by students. This organization facilitates compressed presentation of material. Emphasis is also placed on related concepts to practical designs/chips. Topics and features: - material presentation suitable for self-study;- concepts related to practical designs and implementations; - extensive examples and figures;- details provided on several digital logic simulation packages;- free MASM download instructions provided;- end-of-chapter exercises.

Much current research in computer science is concerned with two questions: is a program correct? And how can we improve a correct program preserving correctness? This latter question is known as the refinement of programs and the purpose of this book is to consider these questions in a formal setting. In fact, correctness turns out to be a special case of refinement and so the focus is on refinement. Although a reasonable background knowledge is assumed from mathematics and CS, the book is a self-contained introduction suitable for graduate students and researchers coming to this subject for the first time. There are numerous exercises provided of varying degrees of challenge.

A basic issue in computer science is the complexity of problems. Computational complexity measures how much time or memory is needed as a function of the input problem size. Descriptive complexity is concerned with problems which may be described in first-order logic. By virtue of the close relationship between logic and relational databses, it turns out that this subject has important applications to databases such as analysing the queries computable in polynomial time, analysing the parallel time needed to compute a query, and the analysis of nondeterministic classes. This book is written as a graduate text and so aims to provide a reasonably self-contained introduction to this subject. The author has provided numerous examples and exercises to further illustrate the ideas presented.

This is an introductory book on the modal and temporal properties of processes. In a clear and well-organized treatment the book provides an introduction to:-process calculi for modeling concurrent systems-modal properties of systems and bisimulation equivalence presented in terms of games-temporal properties of systems-modal mu-calculus as a general purpose temporal logic-verification techniques for showing temporal properties of systems, including verification as a game; model checking in terms of game-theoretic algorithms; tablaux as unwindings of successful strategies; compositional verification, especially in the case of infinite systems. The use of games for both equivalence and model checking is conceptually clearer than other approaches and the book's well-thought-out structure and illuminating examples make this book well-suited for and advanced undergraduate or graduate level course in model checking or formal methods of verification.

This textbook provides students with a course in the theory of databases. It is different from others in that the author presents the subject in the framework of constraint databases which provide a natural and powerful generalization of relational databases. An important theme running through the text is to show how relational databases can smoothly develop into constraint databses and so relational database users can easily become constraint database users. Switching to constraint databases requires sacrificing none of the benefits of relational databses whilst new advantages may be realised. Peter Revesz begins by discussing data models and how queries may be addressed to these models. From this, he develops the theory of relational and constraint databases including Datalog and the relational calculus. The book then discusses three sample constraint database systems, DISCO, DINGO, and RATHER. Advanced undergraduate students and graduate students in computer science will find this a clear introduction to the subject. Professionals and researchers will appreciate this novel perspective on their subject.

Revised and updated, Specification of Software Systems builds upon the original focus on software specification with added emphasis on the practice of formal methods for specification and verification. The text covers a wide range of formal specification techniques.

This book presents a broad overview of computer graphics (CG), its history, and the hardware tools it employs. examines advanced techniques in CG, including the nature and properties of light and color, graphics standards and file formats, and fractals;

The practical orientation of the topics chosen and a wealth of useful examples also make the book suitable as a reference work for practitioners in the field.In this second edition the authors have added sections on recent innovations, techniques, and methodologies.

Assembly language continues to hold a core position in the programming world because of its similar structure to machine language and its very close links to underlying computer-processor architecture and design. These features allow for high processing speed, low memory demands, and the capacity to act directly on the system's hardware. This completely revised second edition of the highly successful Introduction to Assembly Language Programming introduces the reader to assembly language programming and its role in computer programming and design. The focus is on providing readers with a firm grasp of the main features of assembly programming, and how it can be used to improve a computer's performance. The revised edition covers a broad scope of subjects and adds valuable material on protected-mode Pentium programming, MIPS assembly language programming, and use of the NASM and SPIM assemblers for a Linux orientation. All of the language's main features are covered in depth. The book requires only some basic experience with a structured, high-level language.Topics and Features: Introduces assembly language so that readers can benefit from learning its utility with both CISC and RISC processors [ NEW ].- Employs the freely available NASM assembler, which works with both Microsoft Windows and Linux operating systems [ NEW ].- Contains a revised chapter on "Basic Computer Organization" [ NEW].- Uses numerous examples, hands-on exercises, programming code analyses and challenges, and chapter summaries.- Incorporates full new chapters on recursion, protected-mode interrupt processing, and floating-point instructions [ NEW ].Assembly language programming is part of several undergraduate curricula in computer science, computer engineering, and electrical engineering. In addition, this newly revised text/reference can be used as an ideal companion resource in a computer organization course or as a resource for professional courses.

Many books focus on increasing the quality of software through the use of formal methods. However, most books embrace one particular method, and present it as the suggested solution for the software reliability problem. This book presents a wider picture of formal methods, through a collection of notations and techniques. It compares them, and discusses their advantages and disadvantages. One of the main challenges of formal methods is in transferring the tech­ nology developed by researchers to the software development community. Re­ cently, we seem to be starting to have a better understanding of the important ingredients of formal methods tools. This manifests itself in the growing ac­ ceptance of such tools in the software and hardware development industry. Ideally, formal methods need to be intuitive to use (preferably using graphi­ cal interfaces), do not impose on the user an extensive learning period, and incur only small overhead to the development process. Formal methods are much more acceptable today than ten or twenty years ago, in particular in the hardware industry. Yet there is still a lively contention between different approaches.

In recent years, model checking has become an essential technique for the formal verification of systems. With a clarity of presentation and its many illuminating examples, this book makes this technical material easy to grasp. It is perfectly suited for an advanced undergraduate or graduate class in formal verification and will serve as a valuable resource to practitioners of formal methods.

Differing from other books on the subject, this one uses the framework of constraint databases to provide a natural and powerful generalization of relational databases. An important theme running through the text is showing how relational databases can smoothly develop into constraint databases, without sacrificing any of the benefits of relational databases whilst gaining new advantages. Peter Revesz begins by discussing data models and how queries may be addressed to them. From here, he develops the theory of relational and constraint databases, including Datalog and the relational calculus, concluding with three sample constraint database systems -- DISCO, DINGO, and RATHER. Advanced undergraduates and graduates in computer science will find this a clear introduction to the subject, while professionals and researchers will appreciate this novel perspective on their subject.

An introductory course in Software Engineering remains one of the hardest subjects to teach. Much of the difficulty stems from the fact that Software Engineering is a very wide field which includes a wide range of topics. Con­ sequently, what should be the focus of an introductory course remains a challenge with many possible viewpoints. This third edition of the book approaches the problem from the perspec­ tive of what skills a student should possess after the introductory course, particularly if it may be the only course on software engineering in the stu­ dent's program. The goal of this third edition is to impart to the student knowledge and skills that are needed to successfully execute a project of a few person-months by employing proper practices and techniques. In- dently, a vast majority of the projects executed in the industry today are of this scope—executed by a small team over a few months. Another objective of the book is to lay the foundation for the student for advanced studies in Software Engineering. Executing any software project requires skills in two key dimensions— engineering and project management. While engineering deals with issues of architecture, design, coding, testing, etc., project management deals with planning, monitoring, risk management, etc. Consequently, this book fo­ cuses on these two dimensions, and for key tasks in each, discusses concepts and techniques that can be applied effectively on projects.

This book describes the key concepts, principles and implementation options for creating high-assurance cloud computing solutions. The guide starts with a broad technical overview and basic introduction to cloud computing, looking at the overall architecture of the cloud, client systems, the modern Internet and cloud computing data centers. It then delves into the core challenges of showing how reliability and fault-tolerance can be abstracted, how the resulting questions can be solved, and how the solutions can be leveraged to create a wide range of practical cloud applications. The author’s style is practical, and the guide should be readily understandable without any special background. Concrete examples are often drawn from real-world settings to illustrate key insights. Appendices show how the most important reliability models can be formalized, describe the API of the Isis2 platform, and offer more than 80 problems at varying levels of difficulty.

HIS BOOK CONTAINS a most comprehensive text that presents syntax-directed and compositional methods for the formal veri?- T cation of programs. The approach is not language-bounded in the sense that it covers a large variety of programming models and features that appear in most modern programming languages. It covers the classes of - quential and parallel, deterministic and non-deterministic, distributed and object-oriented programs. For each of the classes it presents the various c- teria of correctness that are relevant for these classes, such as interference freedom, deadlock freedom, and appropriate notions of liveness for parallel programs. Also, special proof rules appropriate for each class of programs are presented. In spite of this diversity due to the rich program classes cons- ered, there exist a uniform underlying theory of veri?cation which is synt- oriented and promotes compositional approaches to veri?cation, leading to scalability of the methods. The text strikes the proper balance between mathematical rigor and - dactic introduction of increasingly complex rules in an incremental manner, adequately supported by state-of-the-art examples. As a result it can serve as a textbook for a variety of courses on di?erent levels and varying durations. It can also serve as a reference book for researchers in the theory of veri?- tion, in particular since it contains much material that never before appeared in book form. This is specially true for the treatment of object-oriented p- grams which is entirely novel and is strikingly elegant.

Introduced forty years ago, relational databases proved unusually succe- ful and durable. However, relational database systems were not designed for modern applications and computers. As a result, specialized database systems now proliferate trying to capture various pieces of the database market. Database research is pulled into di?erent directions, and speci- ized database conferences are created. Yet the current chaos in databases is likely only temporary because every technology, including databases, becomes standardized over time. The history of databases shows periods of chaos followed by periods of dominant technologies. For example, in the early days of computing, users stored their data in text ?les in any format and organization they wanted. These early days were followed by information retrieval systems, which required some structure for text documents, such as a title, authors, and a publisher. The information retrieval systems were followed by database systems, which addedeven more structure to the data and made querying easier. In the late 1990s, the emergence of the Internet brought a period of relative chaos and interest in unstructured and “semistructured data” as it wasenvisionedthateverywebpagewouldbelikeapageinabook.However, with the growing maturity of the Internet, the interest in structured data was regained because the most popular websites are, in fact, based on databases. The question is not whether future data stores need structure but what structure they need.

The frequency of new editions of this book is indicative of the rapid and trem- dous changes in the fields of computer and information sciences. First published in 1995, the book has rapidly gone through three editions already and now we are in the fourth. Over this period, we have become more dependent on computer and telecommunication technology than ever before and computer technology has become ubiquitous. Since I started writing on social computing, I have been ad- cating a time when we, as individuals and as nations, will become totally dependent on computing technology. That time is almost on us. Evidence of this is embodied in the rapid convergence of telecommunication, broadcasting, and computing devices; the miniaturization of these devices; and the ever increasing storage capacity , speed of computation, and ease of use. These qualities have been a big pulling force sucking in millions of new users every day, sometimes even those unwilling. Other appealing features of these devices are the increasing number of applications, apps, as they are increasingly becoming known, and being wireless and easily portable. Whether small or big, these new gizmos have become the c- terpiece of an individual’s social and economic activities and the main access point for all information. Individuals aside, computing technology has also become the engine that drives the nations’ strategic and security infrastructures that control power grids, gas and oil storage facilities, transportation, and all forms of national communication, including emergency services.

Each passing year bears witness to the development of ever more powerful computers, increasingly fast and cheap storage media, and even higher bandwidth data connections. This makes it easy to believe that we can now – at least in principle – solve any problem we are faced with so long as we only have enough data.Yet this is not the case. Although large databases allow us to retrieve many different single pieces of information and to compute simple aggregations, general patterns and regularities often go undetected. Furthermore, it is exactly these patterns, regularities and trends that are often most valuable.To avoid the danger of “drowning in information, but starving for knowledge” the branch of research known as data analysis has emerged, and a considerable number of methods and software tools have been developed. However, it is not these tools alone but the intelligent application of human intuition in combination with computational power, of sound background knowledge with computer-aided modeling, and of critical reflection with convenient automatic model construction, that results in successful intelligent data analysis projects. Guide to Intelligent Data Analysis provides a hands-on instructional approach to many basic data analysis techniques, and explains how these are used to solve data analysis problems.Topics and features: guides the reader through the process of data analysis, following the interdependent steps of project understanding, data understanding, data preparation, modeling, and deployment and monitoring; equips the reader with the necessary information in order to obtain hands-on experience of the topics under discussion; provides a review of the basics of classical statistics that support and justify many data analysis methods, and a glossary of statistical terms; includes numerous examples using R and KNIME, together with appendices introducing the open source software; integrates illustrations and case-study-style examplesto support pedagogical exposition.This practical and systematic textbook/reference for graduate and advanced undergraduate students is also essential reading for all professionals who face data analysis problems. Moreover, it is a book to be used following one’s exploration of it.Dr. Michael R. Berthold is Nycomed-Professor of Bioinformatics and Information Mining at the University of Konstanz, Germany. Dr. Christian Borgelt is Principal Researcher at the Intelligent Data Analysis and Graphical Models Research Unit of the European Centre for Soft Computing, Spain. Dr. Frank Höppner is Professor of Information Systems at Ostfalia University of Applied Sciences, Germany. Dr. Frank Klawonn is a Professor in the Department of Computer Science and Head of the Data Analysis and Pattern Recognition Laboratory at Ostfalia University of Applied Sciences, Germany. He is also Head of the Bioinformatics and Statistics group at the Helmholtz Centre for Infection Research, Braunschweig, Germany.

CSP notation has been used extensively for teaching and applying concurrency theory, ever since the publication of the text Communicating Sequential Processes by C.A.R. A first point of reference for anyone wanting to use CSP or learn about its theory, the book also introduces other views of concurrency, using CSP to model and explain these.

This extensively revised and updated new edition of Specification of Software Systems builds upon the original focus on software specification with added emphasis on the practice of formal methods for specification and verification activities for different types of software systems and at different stages of developing software systems. Topics and features: provides a wide coverage of formal specification techniques and a clear writing style, supported by end-of-chapter bibliographic notes for further reading; presents a logical structure, with sections devoted to specification fundamentals, basics of formalism, logic, set theory and relations, property-oriented specification methods, and model-based specification techniques; contains end-of-chapter exercises and numerous case studies, with potential course outlines suggested in the Preface; covers Object-Z, B-Method, and Calculus of Communicating Systems; offers material that can be taught with tool-supported laboratory projects.