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Fundamentals of X Programming
This book provides an overview of the X Window System focusing on characteristics that have significant impact on the development of both application programs and widgets. We pay special attention to applications that go beyond graphical user interfaces (GUIs); therefore we discuss issues affecting video games, visualization and imaging programs, and designing widgets with a complex appearance. While the book does not assume previous knowledge of X, it is intended for experienced programmers, especially those who want to write programs that go beyond simple GUIs. X is the dominant window system under Unix, and X servers are available for Microsoft Windows, thus enabling graphics over a network in the PC world. While Java offers an apparently universal graphics library (the abstract window toolkit), the reality is quite different: For high-quality graphics and image display, we must program on the target platform itself (X or one of Microsoft’s APIs) rather than rely on Java peer objects. X is a vast subject, so it is impossible to provide a complete coverage in a few hundred pages. Thus we selected topics that are fundamental to the system, so that the reader who masters them should be able to read the documentation of the numerous libraries and toolkits. Therefore we provide documentation on the most important Xlib and X toolkit functions only.
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Programming Machine Ethics
This book addresses the fundamentals of machine ethics. It discusses abilities required for ethical machine reasoning and the programming features that enable them. It connects ethics, psychological ethical processes, and machine implemented procedures. From a technical point of view, the book uses logic programming and evolutionary game theory to model and link the individual and collective moral realms. It also reports on the results of experiments performed using several model implementations.Opening specific and promising inroads into the terra incognita of machine ethics, the authors define here new tools and describe a variety of program-tested moral applications and implemented systems. In addition, they provide alternative readings paths, allowing readers to best focus on their specific interests and to explore the concepts at different levels of detail.Mainly written for researchers in cognitive science, artificial intelligence, robotics, philosophy of technology and engineering of ethics, the book will also be of general interest to other academics, undergraduates in search of research topics, science journalists as well as science and society forums, legislators and military organizations concerned with machine ethics.
R 3,297.00
Beginning Programming in 24 Hours, Sams Teach Yourself
Sams Teach Yourself Beginning Programming in 24 Hours explains the basics of programming in the successful 24 Hours format. The book's examples are easily readable and understandable by even those with no previous exposure to programming. This book covers the absolute basics of programming: Why program? What tools to use? How does a program tell the computer what to do? Readers will learn how to program the computer and will explore some of the most popular programming languages in use. This book will introduce the reader to common programming fundamentals using Python and will provide an overview of other common programming languages and their uses.
R 684.00
Beginning Programming with C++ For Dummies
Learn to program with C++ quickly with this helpful For Dummies guide Beginning Programming with C++ For Dummies, 2nd Edition gives you plain-English explanations of the fundamental principles of C++, arming you with the skills and know-how to expertly use one of the world's most popular programming languages. You'll explore what goes into creating a program, how to put the pieces together, learn how to deal with standard programming challenges, and much more. Written by the bestselling author of C++ For Dummies, this updated guide explores the basic development concepts and techniques of C++ from a beginner's point of view, and helps make sense of the how and why of C++ programming from the ground up. Beginning with an introduction to how programming languages function, the book goes on to explore how to work with integer expressions and character expressions, keep errors out of your code, use loops and functions, divide your code into modules, and become a functional programmer. Grasp C++ programming like a pro, even if you've never written a line of codeMaster basic development concepts and techniques in C++Get rid of bugs and write programs that workFind all the code from the book and an updated C++ compiler on the companion website If you're a student or first-time programmer looking to master this object-oriented programming language, Beginning Programming with C++ For Dummies, 2nd Edition has you covered.
R 798.00
Program Development by Refinement
The Idea of Program Refinement Programs are complex. They are typically so complex, that they go beyond the full comprehension even of the programmer or team who designed them, with all the consequences this has. How can we cope with such complexity in a satisfactory way? An approach, advocated for a long time, is to separate a concise specification of a program - the "what" - from a possibly involved implementation - the "how". Once a specification is obtained from the set of requirements on the program, there can still be a large gap to an efficient implementation. The development from specification to implementation can then proceed by a succession oflayers, such that each layer is a refinement of the previous one. Design decisions can be introduced in refinement steps one at a time. By this, the refinement steps can be kept small and manageable. Still, the set of all requirements can be far too large to be taken completely into account in the initial specification. Even if they could, they might obscure issues more than clarify them. For example: • An information system for stored goods needs to produce an error message on il legal input. Yet, the exact wording - and even the language - of those messages is irrelevant for an understanding of the essence of the system. • A banking application interacts with customers with a graphical interface. Yet the specification of the graphical layout is secondary compared to the specification of the possible transactions.
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R 489.00
Algorithms and Programming
This text is structured in a problem-solution format that requires the student to think through the programming process. New to the second edition are additional chapters on suffix trees, games and strategies, and Huffman coding as well as an Appendix illustrating the ease of conversion from Pascal to C.
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Genetic Programming Theory and Practice VII
Genetic Programming Theory and Practice VII presents the results of the annual Genetic Programming Theory and Practice Workshop, contributed by the foremost international researchers and practitioners in the GP arena. Contributions examine the similarities and differences between theoretical and empirical results on real-world problems, and explore the synergy between theory and practice, producing a comprehensive view of the state of the art in GP application. Application areas include chemical process control, circuit design, financial data mining and bio-informatics, to name a few.About this book: Discusses the hurdles encountered when solving large-scale, cutting-edge applications, provides in-depth presentations of the latest and most significant applications of GP and the most recent theoretical results with direct applicability to state-of-the-art problems. Genetic Programming Theory and Practice VII is suitable for researchers, practitioners and students of Genetic Programming, including industry technical staffs, technical consultants and business entrepreneurs.
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Credibilistic Programming
It provides fuzzy programming approach to solve real-life decision problems in fuzzy environment. Within the framework of credibility theory, it provides a self-contained, comprehensive and up-to-date presentation of fuzzy programming models, algorithms and applications in portfolio analysis.
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R 365.00
Programming and GUI Fundamentals
PROGRAMMING AND GUI FUNDAMENTALS Discover the foundations of TCL programming and GUI development Programming and GUI Fundamentals: Tcl-Tk for Electronic Design Automation (EDA), delivers a comprehensive exploration of the major design challenges and potential present in application and tool development with Tcl-Tk. Accessibly written and easy-to-understand, the book can be used by students at a variety of levels, as well as researchers and working professionals. The authors present the fundamental concepts of Tcl programming and graphic user interface (GUI) development using images, and photographs, assisting with concept understanding and retention. They describe real-time system designs and offer students and designers the opportunity to learn about critical concepts in scripting and GUI development. Readers will learn to design their own GUI, place and package widgets on the GUI, and allow EDA professionals, chip designers and students to code and design in TCL-TK. They will also benefit from: A thorough introduction to scripting languages and wish interpreters, including their fundamental concepts, TCL tips and tricks, and command, variable, and procedure examples Comprehensive explorations of the TCL data structure, including datatypes, strings and commands, lists and commands, and arrays and commands Practical discussions of TCL control flow, including conditional commands, multi-condition commands, and loop commands In-depth examinations of file input/output processing, including TCL file read-write, open and close commands, gets, and puts. Perfect for undergraduate and graduate students studying programming or computer science, as well as professionals working on electronic design automation and chip design, Programming and GUI Fundamentals: Tcl-Tk for Electronic Design Automation (EDA) is also an indispensable resource for programming professionals seeking to upskill.
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Programing Contingency Analysis of Mental Health
A Programing Contingency Analysis of Mental Health presents Dr. Israel Goldiamond’s reflections on various ways we formulate behavioral and emotional problems, most often in traditional terms of mental health disorders, mental diseases or illnesses, psychopathological disorders, and so on – what he calls a pathological orientation. Here, Goldiamond argues for a groundbreaking alternative view from the vantage point of radical behaviorism. The book begins by discussing contingency relations between behavior and its past and present consequences, along with other environmental events. It reminds us that this approach sits comfortably alongside other consequential systems in the social and biological sciences, particularly decision theory and evolution. This behaviorist system regards most important human behaviors as being emitted rather than stimulus-elicited. Described are some of the diverse origins of behavior, including the effects of environmental consequences and the programing procedures of social and cultural inheritance. The exposition includes decision matrices which rationalize some of the programed patterns and the accompanying thoughts and emotions commonly found in mental illness. As a result of this nonlinear contingency analysis, such patterns may be considered adaptive rather than maladaptive. The book describes programs based on those matrices and outlines how they might be applied to mitigate any problems or costs associated with those patterns. The book concludes by moving from individual analysis to social analysis, with particular reference to some societal contingencies that may maintain the pathological orientation and others that might shift our gaze in the direction proposed here.Alongside Dr. Goldiamond’s original work, this volume features a new introduction from Dr. Paul Thomas Andronis and Dr. T. V. Joe Layng, as well as an article tracing the history of the non-linear thinking of Dr. Goldiamond, first published in The Behavior Analyst. It will be a must-read for anyone working in the analysis of and clinical intervention in problems associated with mental health, or those more generally interested in the work of Israel Goldiamond.
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Learn Robotics Programming
Gain experience of building a next-generation collaboration robotKey FeaturesGet up and running with the fundamentals of robotic programmingProgram a robot using Python and the Raspberry Pi 3Learn to build a smart robot with interactive and AI-enabled behaviorsBook DescriptionWe live in an age where the most difficult human tasks are now automated. Smart and intelligent robots, which will perform different tasks precisely and efficiently, are the requirement of the hour. A combination of Raspberry Pi and Python works perfectly when making these kinds of robots. Learn Robotics Programming starts by introducing you to the basic structure of a robot, along with how to plan, build, and program it. As you make your way through the book, you will gradually progress to adding different outputs and sensors, learning new building skills, and writing code for interesting behaviors with sensors. You'll also be able to update your robot, and set up web, phone, and Wi-Fi connectivity in order to control it. By the end of the book, you will have built a clever robot that can perform basic artificial intelligence (AI) operations.What you will learnConfigure a Raspberry Pi for use in a robotInterface motors and sensors with a Raspberry PiImplement code to make interesting and intelligent robot behaviorsUnderstand the first steps in AI behavior such as speech recognition visual processingControl AI robots using Wi-FiPlan the budget for requirements of robots while choosing partsWho this book is forLearn Robotics Programming is for programmers, developers, and enthusiasts interested in robotics and developing a fully functional robot. No major experience required just some programming knowledge would be sufficient.
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Patterns, Programming and Everything
With 11 invited submissions from leading researchers and teams of researchers sharing one common characteristic ? all have worked with Dr. Judith Bishop during her long and continuing career as a leader in computer science education and research ? this book reflects on Dr Bishop?s outstanding contribution to computer science. Having worked at three different universities she now holds a leadership position in the research division of a major software company.The topics covered reflect some of the transitions in her career. The dominant theme is programming languages, with chapters on object oriented programming, real-time programming, component programming and design patterns. Another major and related topic is compilers, with contributions on dataflow analysis, tree rewriting and keyword recognition. Finally, there are some additional chapters on other varied but highly interesting topics including smart homes, mobile systems and teaching computer science.
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Distributed Programming
Distributed Programming: Theory and Practice presents a practical and rigorous method to develop distributed programs that correctly implement their specifications. The method also covers how to write specifications and how to use them. Numerous examples such as bounded buffers, distributed locks, message-passing services, and distributed termination detection illustrate the method. Larger examples include data transfer protocols, distributed shared memory, and TCP network sockets. Distributed Programming: Theory and Practice bridges the gap between books that focus on specific concurrent programming languages and books that focus on distributed algorithms. Programs are written in a "real-life" programming notation, along the lines of Java and Python with explicit instantiation of threads and programs. Students and programmers will see these as programs and not "merely" algorithms in pseudo-code. The programs implement interesting algorithms and solve problems that are large enough to serve as projects in programming classes and software engineering classes. Exercises and examples are included at the end of each chapter with on-line access to the solutions. Distributed Programming: Theory and Practice is designed as an advanced-level text book for students in computer science and electrical engineering. Programmers, software engineers and researchers working in this field will also find this book useful.
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R 367.00
This Program Is Brought to You By . . .
Journalism, television, cable, and online media are all evolving rapidly. At the nexus of these volatile industries is a growing group of individuals and firms whose job it is to develop and maintain online distribution channels for television news programming. Their work, and the tensions surrounding it, provide a fulcrum from which to pry analytically at some of the largest shifts within our media landscape. Based on fieldwork and interviews with different teams and organizations within MSNBC, this multi-disciplinary work is unique in its focus on distribution, which is rapidly becoming as central as production, to media work.
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Connotational Theory of Program Structure
This book presents developments of a language independent theory of program structure. The theory features a simple, natural notion of control structure which is much broader than in other theories of programming languages such as denotational semantics and program schemes. This notion permits treatment of control structures which involve not only the denotation of programs (i.e., their input/output behavior), but also their structure, size, run times, etc. The theory also treats the relation of control structure and complexity properties of programming languages. The book focuses on expressive interdependencies of control structures (which control structures can be expressed by which others). A general method of proving control structures expressively independent is developed. The book also considers characterizations of the expressive power of general purpose programming languages in terms of control structures. Several new characterizations are presented and two compactness results for such characterizations are shown.
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Foundations of Bilevel Programming
Bilevel programming problems are hierarchical optimization problems where the constraints of one problem (the so-called upper level problem) are defined in part by a second parametric optimization problem (the lower level problem). If the lower level problem has a unique optimal solution for all parameter values, this problem is equivalent to a one-level optimization problem having an implicitly defined objective function. Special emphasize in the book is on problems having non-unique lower level optimal solutions, the optimistic (or weak) and the pessimistic (or strong) approaches are discussed. The book starts with the required results in parametric nonlinear optimization. This is followed by the main theoretical results including necessary and sufficient optimality conditions and solution algorithms for bilevel problems. Stationarity conditions can be applied to the lower level problem to transform the optimistic bilevel programming problem into a one-level problem. Properties of the resulting problem are highlighted and its relation to the bilevel problem is investigated. Stability properties, numerical complexity, and problems having additional integrality conditions on the variables are also discussed. Audience: Applied mathematicians and economists working in optimization, operations research, and economic modelling. Students interested in optimization will also find this book useful.
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Genetic Programming for Production Scheduling
This book introduces readers to an evolutionary learning approach, specifically genetic programming (GP), for production scheduling. The book is divided into six parts. In Part I, it provides an introduction to production scheduling, existing solution methods, and the GP approach to production scheduling. Characteristics of production environments, problem formulations, an abstract GP framework for production scheduling, and evaluation criteria are also presented. Part II shows various ways that GP can be employed to solve static production scheduling problems and their connections with conventional operation research methods. In turn, Part III shows how to design GP algorithms for dynamic production scheduling problems and describes advanced techniques for enhancing GP’s performance, including feature selection, surrogate modeling, and specialized genetic operators. In Part IV, the book addresses how to use heuristics to deal with multiple, potentially conflicting objectives in production scheduling problems, and presents an advanced multi-objective approach with cooperative coevolution techniques or multi-tree representations. Part V demonstrates how to use multitask learning techniques in the hyper-heuristics space for production scheduling. It also shows how surrogate techniques and assisted task selection strategies can benefit multitask learning with GP for learning heuristics in the context of production scheduling. Part VI rounds out the text with an outlook on the future.Given its scope, the book benefits scientists, engineers, researchers, practitioners, postgraduates, and undergraduates in the areas of machine learning, artificial intelligence, evolutionary computation, operations research, and industrial engineering.
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Thinking Programs
This book describes some basic principles that allow developers of computer programs (computer scientists, software engineers, programmers) to clearly think about the artifacts they deal with in their daily work: data types, programming languages, programs written in these languages that compute wanted outputs from given inputs, and programs that describe continuously executing systems. The core message is that clear thinking about programs can be expressed in a single, universal language, the formal language of logic. Apart from its universal elegance and expressiveness, this “logical” approach to the formal modeling of, and reasoning about, computer programs has another advantage: due to advances in computational logic (automated theorem proving, satisfiability solving, model checking), nowadays much of this process can be supported by software. This book therefore accompanies its theoretical elaborations by practical demonstrations of various systems and tools that are based on or make use of the presented logical underpinnings.
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Logic-Based Program Synthesis and Transformation
This book constitutes the refereed proceedings of the 30th International Conference on Logic-Based Program Synthesis and Transformation, LOPSTR 2020, which was held during September 7-9, 2020. The 15 papers presented in this volume were carefully reviewed and selected from a total of 31 submissions. The book also contains two invited talks in full paper length. The contributions were organized in topical sections named: rewriting; unification; types; verification; model checking and probabilistic programming; program analysis and testing; and logics.
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R 641.00
Programming in Parallel with CUDA
CUDA is now the dominant language used for programming GPUs, one of the most exciting hardware developments of recent decades. With CUDA, you can use a desktop PC for work that would have previously required a large cluster of PCs or access to a HPC facility. As a result, CUDA is increasingly important in scientific and technical computing across the whole STEM community, from medical physics and financial modelling to big data applications and beyond. This unique book on CUDA draws on the author's passion for and long experience of developing and using computers to acquire and analyse scientific data. The result is an innovative text featuring a much richer set of examples than found in any other comparable book on GPU computing. Much attention has been paid to the C++ coding style, which is compact, elegant and efficient. A code base of examples and supporting material is available online, which readers can build on for their own projects.
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R 420.00
Programmieren mit Ada
Das vorliegende Lehrbuch entstand aus Vorlesungen fiber die Pro- grammiersprache Ada, die der Verfasser seit 1983 an der Universi- tat Hamburg u.a. flir Wirtschaftswissenschaftler gehalten hat. In diesem Buch wird der miindige Leser angesprochen, der .pei Ein- arbeitung in ein umfangreiches Gebiet nacn einer ersten Ubersicht, klarem Aufbau, folgerichtigen Regeln und vollstiindiger Vermittlung der erforderlichen Unterlagen verrangt. AuBerdem werden nach der Devise "Das beste an der Theorie sino immer die Beispiele" in den 12 Kapiteln iiber 40 ausflihrliche Programm-Beispiele mit Einl Aus- g!lbe gebracht, die auch auf der mitgelieferten Diskette zu finden smd. Ada, eine sich selbst dokumentierende hohere Programmiersprache, ist wie seine nachsten Vorganger PUI, SIMULA, Pascal, MOnULA, ALGOL68 und C eine umverselle Sprache, wie SIMULA, MODULA und SMALLTALK modular strukturiert (Package), hat wie SIMULA, ALGOL68 und SMALLTALK Sprachelemente zur Simulation paral- leler Prozesse (Task) und eignet sich wie PEARL zur Beschreibung von Echtzeit-Prozessen (TIme, Duration). Graphik, wie etwa in SMALLTALK, gehOrt noch nicht zum Ada Standard. Herausgegeben wurde Ada (revised 1983) vom United States Department of Defense auf Grund einer Ausschreibung, die von der FIrma Honeywell Bull gewonnen wurde. Der Leiter des Ada Design-Teams war D. Ichbiah.
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Programming for TV, Radio & The Internet
Where do program ideas come from? How are concepts developed into saleable productions? Who do you talk to about getting a show produced? How do you schedule shows on the lineup? What do you do if a series is in trouble? The answers to these questions, and many more, can be found in this comprehensive, in-depth look at the roles and responsibilities of the electronic media programmer. Topics include: Network relationships with affiliates, the expanded market of syndication, sources of programming for stations and networks, research and its role in programming decisions, fundamental appeals to an audience and what qualities are tied to success, outside forces that influence programming, strategies for launching new programs or saving old ones. Includes real-life examples taken from the authors' experiences, and 250+ illustrations!
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R 550.00
Unifying Theories of Programming
This volume contains papers presented at UTP 2019, the 7th International Symposium on Unifying Theories of Programming, held in Porto, Portugal, on the 8th of October 2019. This edition of the UTP symposium is in honor of Sir Tony Hoare, on the occasion of his 85th birthday. The papers contained in this volume were invited, and friendly refereed, original contributions sought from the UTP community. One of the papers is from the distinguished invited speaker Tony Hoare himself. Nine other additional papers compose this volume, covering several aspects of Unifying Theories of Programming.
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Mathematical Programming with Data Perturbations II, Second Edition
This book presents theoretical results, including an extension of constant rank and implicit function theorems, continuity and stability bounds results for infinite dimensional problems, and the interrelationship between optimal value conditions and shadow prices for stable and unstable programs.
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R 1,221.00
Foundations of Quantum Programming
Quantum computing offers great promise in a wide variety of applications that need computational power beyond the limits of current conventional computers, including machine learning and AI, cryptanalysis, and simulation of quantum physics and chemistry. Fundamentally new programming technologies are required to develop quantum software that can realize the super-power of quantum computing. Foundations of Quantum Programming, Second Edition provides a systematic exposition of the subject of quantum programming. The emphasis is placed on the foundational concepts, methods and techniques that can be widely used for various quantum programming models and languages. It describes how programming methodologies developed for current computers can be extended for quantum computers, along with new programming methodologies that can effectively exploit the unique power of quantum computing. It introduces a chain of quantum programming models from sequential to parallel and distributed programming in the paradigm of superposition-of-data to the paradigm of superposition-of-programs. It also presents a series of logical and mathematical tools for verification and analysis of quantum programs, including invariant generation, termination analysis and abstract interpretation.
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Programmierung naturanaloger Verfahren
In diesem Buch geht es um die Programmiertechniken, die zur Implementation sog. naturanaloger Verfahren erforderlich sind. Dabei handelt es sich um Zellularautomaten, Boolesche Netze, Evolutionäre Algorithmen, Simulated Annealing, Fuzzy-Methoden und Neuronale Netze. Der Band ist wegen seiner Konzentration auf Programmiertechniken ein Ergänzungsband zu dem Buch „Modellierung von Komplexität durch naturanaloge Verfahren“. Es werden keine speziellen Programmierkenntnisse vorausgesetzt, sondern nur die Kenntnis einer der heute üblichen Sprachen wie JAVA oder C#. Die Anleitungen für das Programmieren sind in einem Pseudocode geschrieben, der auch für Anfänger verständlich ist und keine bestimmte Sprache voraussetzt. Nach erfolgreicher Lektüre sind die Leser in der Lage, selbst die genannten Modelle zu programmieren.
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Handbook of Logic in Artificial Intelligence and Logic Programming: Volume 2: Deduction Methodologies
Logic is now widely recognized to be one of the foundational disciplines of computing and has found applications in virtually all aspects of the subject, from software engineering and hardware to programming languages and artificial intelligence. There is a growing need for an in-depth survey of the applications of logic in Al and computer science. The Handbook of Logic in Articial Intelligence and Logic Programming and its companion, the Handbook of Logic in Computer Science, have been created in response to this need. We see the creation of the Handbook as a combination of authoritative exposition, comprehensive survey, and fundamental research exploring the underlying themes in the various areas. The intended audience is graduate students and researchers in the areas of A1 and logic, as well as other people interested in the subject. We assume as background some mathematical sophistication. Much of the material will be of interest to logicians and mathematicians. The tables of contents of the volumes were finalized after extensive discussions between handbook authors and second readers. This book is intended for theoretical computer scientists; logicians.Volume Co-ordinator:: S
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R 1,010.00
Integer Programming
Integer Programming: Theory and Practice contains refereed articles that explore both theoretical aspects of integer programming as well as major applications. This volume begins with a description of new constructive and iterative search methods for solving the Boolean optimization problem (BOOP). Following a review of recent developments on convergent Lagrangian techniques that use objective level-cut and domain-cut methods to solve separable nonlinear integer-programming problems, the book discusses the generalized assignment problem (GAP). The final theoretical chapter analyzes the use of decomposition methods to obtain bounds on the optimal value of solutions to integer linear-programming problems.The first application article contains models and solution algorithms for the rescheduling of airlines following the temporary closure of airports. The next chapters deal with the determination of an optimal mix of chartered and self-owned vessels needed to transport a product. The book then presents an application of integer programming that involves the capture, storage, and transmission of large quantities of data collected during testing scenarios involving military applications related to vehicles, medicine, equipment, missiles, and aircraft. The next article develops an integer linear-programming model to determine the assortment of products that must be carried by stores within a retail chain to maximize profit, and the final article contains an overview of noncommercial software tools for the solution of mixed-integer linear programs (MILP). The authors purposefully include applications and theory that are usually not found in contributed books in order to appeal to a wide variety of researchers and practitioners.
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Genetic Programming and Data Structures
Computers that `program themselves' has long been an aim of computer scientists. Recently genetic programming (GP) has started to show its promise by automatically evolving programs. Indeed in a small number of problems GP has evolved programs whose performance is similar to or even slightly better than that of programs written by people. The main thrust of GP has been to automatically create functions. While these can be of great use they contain no memory and relatively little work has addressed automatic creation of program code including stored data. This issue is the main focus of Genetic Programming, and Data Structures: Genetic Programming + Data Structures = Automatic Programming!. This book is motivated by the observation from software engineering that data abstraction (e.g., via abstract data types) is essential in programs created by human programmers. This book shows that abstract data types can be similarly beneficial to the automatic production of programs using GP. Genetic Programming and Data Structures: Genetic Programming + Data Structures = Automatic Programming! shows how abstract data types (stacks, queues and lists) can be evolved using genetic programming, demonstrates how GP can evolve general programs which solve the nested brackets problem, recognises a Dyck context free language, and implements a simple four function calculator. In these cases, an appropriate data structure is beneficial compared to simple indexed memory. This book also includes a survey of GP, with a critical review of experiments with evolving memory, and reports investigations of real world electrical network maintenance scheduling problems that demonstrate that Genetic Algorithms can find low cost viable solutions to such problems. Genetic Programming and Data Structures: Genetic Programming + Data Structures = Automatic Programming! should be of direct interest to computer scientists doing research on genetic programming, genetic algorithms, data structures, and artificial intelligence. In addition, this book will be of interest to practitioners working in all of these areas and to those interested in automatic programming.
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Programming for Peace
Sadly enough, war, conflicts and terrorism appear to stay with us in the 21st century. But what is our outlook on new methods for preventing and ending them? Present-day hard- and software enables the development of large crisis, conflict, and conflict management databases with many variables, sometimes with automated updates, statistical analyses of a high complexity, elaborate simulation models, and even interactive uses of these databases.In this book, these methods are presented, further developed, and applied in relation to the main issue: the resolution and prevention of intra- and international conflicts. Conflicts are a worldwide phenomenon. Therefore, internationally leading researchers from the USA, Austria, Canada, Germany, New Zealand and Switzerland have contributed.
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R 428.00
