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Computer Systems

RRP $463.99

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NOTE: Before purchasing, check with your instructor to ensure you select the correct ISBN. Several versions of Pearson's MyLab & Mastering products exist for each title, and registrations are not transferable. To register for and use Pearson's MyLab & Mastering products, you may also need a Course ID, which your instructor will provide.


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For courses in Computer Organization and Architecture
This package includes MasteringEngineering®

Computer systems: A Programmer's Perspective explains the underlying elements common among all computer systems and how they affect general application performance. Written from the programmer's perspective, this book strives to teach readers how understanding basic elements of computer systems and executing real practice can lead them to create better programs.

Spanning across computer science themes such as hardware architecture, the operating system, and systems software, the Third Edition serves as a comprehensive introduction to programming. This book strives to create programmers who understand all elements of computer systems and will be able to engage in any application of the field--from fixing faulty software, to writing more capable programs, to avoiding common flaws. It lays the groundwork for readers to delve into more intensive topics such as computer architecture, embedded systems, and cyber security.

This book focuses on systems that execute an x86-64 machine code, and recommends that programmers have access to a Linux system for this course. Programmers should have basic familiarity with C or C++.

Personalize Learning with MasteringEngineering

MasteringEngineering is an online homework, tutorial, and assessment system, designed to improve results through personalized learning. This innovative online program emulates the instructor's office hour environment, engaging and guiding students through engineering concepts with self-paced individualized coaching With a wide range of activities available, students can actively learn, understand, and retain even the most difficult concepts.

Atomistic Computer Simulations

RRP $241.99

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Many books explain the theory of atomistic computer simulations; this book teaches you how to run them

This introductory "how to" title enables readers to understand, plan, run, and analyze their own independent atomistic simulations, and decide which method to use and which questions to ask in their research project. It is written in a clear and precise language, focusing on a thorough understanding of the concepts behind the equations and how these are used in the simulations. As a result, readers will learn how to design the computational model and which parameters of the simulations are essential, as well as being able to assess whether the results are correct, find and correct errors, and extract the relevant information from the results. Finally, they will know which information needs to be included in their publications.

This book includes checklists for planning projects, analyzing output files, and for troubleshooting, as well as pseudo keywords and case studies.

The authors provide an accompanying blog for the book with worked examples, and additional material and references: http://www.atomisticsimulations.org/.

Optimization Techniques In Computer Vision 2016

RRP $354.99

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This book presents practical optimization techniques used in image processing and computer vision problems. Ill-posed problems are introduced and used as examples to show how each type of problem is related to typical image processing and computer vision problems. Unconstrained optimization gives the best solution based on numerical minimization of a single, scalar-valued objective function or cost function. Unconstrained optimization problems have been intensively studied, and many algorithms and tools have been developed to solve them. Most practical optimization problems, however, arise with a set of constraints. Typical examples of constraints include: (i) pre-specified pixel intensity range, (ii) smoothness or correlation with neighboring information, (iii) existence on a certain contour of lines or curves, and (iv) given statistical or spectral characteristics of the solution. Regularized optimization is a special method used to solve a class of constrained optimization problems. The term regularization refers to the transformation of an objective function with constraints into a different objective function, automatically reflecting constraints in the unconstrained minimization process. Because of its simplicity and efficiency, regularized optimization has many application areas, such as image restoration, image reconstruction, optical flow estimation, etc.
Optimization plays a major role in a wide variety of theories for image processing and computer vision. Various optimization techniques are used at different levels for these problems, and this volume summarizes and explains these techniques as applied to image processing and computer vision.

Fieldwork Is Not What It Used To Be

RRP $271.99

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Over the past two decades anthropologists have been challenged to rethink the nature of ethnographic research, the meaning of fieldwork, and the role of ethnographers. Ethnographic fieldwork has cultural, social, and political ramifications that have been much discussed and acted upon, but the training of ethnographers still follows a very traditional pattern; this volume engages and takes its point of departure in the experiences of ethnographers-in-the-making that encourage alternative models for professional training in fieldwork and its intellectual contexts.

The work done by contributors to Fieldwork Is Not What It Used to Be articulates, at the strategic point of career-making research, features of this transformation in progress. Setting aside traditional anxieties about ethnographic authority, the authors revisit fieldwork with fresh initiative. In search of better understandings of the contemporary research process itself, they assess the current terms of the engagement of fieldworkers with their subjects, address the constructive, open-ended forms by which the conclusions of fieldwork might take shape, and offer an accurate and useful description of what it means to become-and to be-an anthropologist today.

Contributors: Lisa Breglia, George Mason University; Jae A. Chung, Aalen University; James D. Faubion, Rice University; Michael M. J. Fischer, MIT; Kim Fortun, Rensselaer Polytechnic Institute; Jennifer A. Hamilton, Hampshire College; Christopher M. Kelty, UCLA; George E. Marcus, University of California, Irvine; Nahal Naficy, Rice University; Kristin Peterson, University of California, Irvine; Deepa S. Reddy, University of Houston-Clear Lake

Security Of E-systems And Computer Networks

RRP $321.99

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E-based systems are ubiquitous in the modern world with applications spanning e-commerce, WLANs, health care and government organisations. The secure transfer of information has therefore become a critical area of research, development, and investment. This book presents the fundamental concepts and tools of e-based security and its range of applications. The core areas of e-based security - authentication of users; system integrity; confidentiality of communication; availability of business service; and non-repudiation of transactions - are covered in detail. Throughout the book the major trends, challenges and applications of e-security are presented, with emphasis on public key infrastructure (PKI) systems, biometric-based security systems, trust management systems, and the e-service paradigm. Intrusion detection technologies, virtual private networks (VPNs), malware, and risk management are also discussed. Technically oriented with many practical examples, this book is suitable for practitioners in network security, as well as graduate students and researchers in telecommunications and computer science.

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