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Elsevier

Books in Computing for engineers and scientists

  • Learning-Based Soft Sensing and Predictions for Process Industries

    Theory, Methodology and Applications
    • 1st Edition
    • Hamid Reza Karimi + 1 more
    • English
    Learning-Based Soft Sensing and Predictions for Process Industries: Theory, Methodology and Applications covers prediction and soft sensing in industrial processes that are subject to specific challenges with AI-empowered learning algorithms. With the aid of a data-driven modeling strategy, the book explores the problems of industrial prediction and soft sensing and formulates a series of learning-based theory, methodologies, and applications. The book introduces the basics of prediction and soft sensing backgrounds, including different categories of prediction theory. Secondly, covers the foundations of machine learning methodologies, including supervised learning prediction, semi-supervised, and self-supervised prediction. Finally, the book examines novel learning-based models/architectures...

  • Numerical Methods

    Using MATLAB
    • 5th Edition
    • George Lindfield + 1 more
    • English
    Numerical Methods Using MATLAB®, Fifth Edition continues to provide a clear and rigorous introduction to a wide range of numerical methods that have practical applications. The authors’ approach is to integrate MATLAB with numerical analysis in a way which adds clarity to the numerical analysis and develops familiarity with MATLAB. MATLAB graphics and numerical output are used extensively to clarify complex problems and give a deeper understanding of their nature. The text provides an extensive reference providing numerous useful and important numerical algorithms that are implemented in MATLAB to help researchers analyze a particular outcome.By using MATLAB it is possible for the readers to tackle some large and difficult problems and deepen and consolidate their understanding of problem solving using numerical methods. Many worked examples are given together with exercises and solutions to illustrate how numerical methods can be used to study problems that have applications in the biosciences, chaos, optimization and many other fields. The text will be a valuable aid to people working in a wide range of fields, such as engineering, science and economics.

  • MATLAB Scientific Plotting and Data Analysis

    • 1st Edition
    • Jinbin Ding
    • English
    MATLAB Scientific Plotting and Data Analysis combines the author's extensive experience in data analysis and scientific plotting to provide detailed explanations of the methods and techniques for using MATLAB. The book is divided into three parts, consisting of 12 chapters. The first part covers the basics of MATLAB, including the operating environment, data types and basic operations, file operations, and programming. The second part focuses on MATLAB's data visualization capabilities, with topics such as figure window information, 2D plotting, 3D plotting, specialized plotting, and handle graphics objects.The third part covers descriptive data analysis, interpolation and fitting, regression analysis, and optimization problem solving. Furthermore, this book provides links to over 200 examples of teaching videos and hands-on exercise resource files, enhancing readers' learning efficiency.

  • Introduction to Python and Spice for Electrical and Computer Engineers

    • 1st Edition
    • James C. Squire + 1 more
    • English
    Introduction to Python and Spice for Electrical and Computer Engineers introduces freshman and sophomore engineering students to programming in Python and Spice through engaged, problem-based learning and dedicated Electrical and Computer Engineering content. This book draws its problems and examples specifically from Electrical and Computer Engineering, covering such topics as matrix algebra, complex exponentials and plotting using examples drawn from circuit analysis, signal processing, and filter design. It teaches relevant computation techniques in the context of solving common problems in Electrical and Computer Engineering.This book is unique among Python textbooks for its dual focus on introductory-level learning and discipline-specific content in Electrical and Computer Engineering. No other textbook on the market currently targets this audience with the same attention to discipline-specific content and engaged learning practices. Although it is primarily an introduction to programming in Python, the book also has a chapter on circuit simulation using Spice. It also includes materials helpful for ABET-accreditation, such information on professional development, ethics, and lifelong learning.

  • Management and Engineering of Critical Infrastructures

    • 1st Edition
    • Bedir Tekinerdogan + 4 more
    • English
    Management and Engineering of Critical Infrastructures focuses on two important aspects of CIS, management and engineering. The book provides an ontological foundation for the models and methods needed to design a set of systems, networks and assets that are essential for a society's functioning, and for ensuring the security, safety and economy of a nation. Various examples in agriculture, the water supply, public health, transportation, security services, electricity generation, telecommunication, and financial services can be used to substantiate dangers. Disruptions of CIS can have serious cascading consequences that would stop society from functioning properly and result in loss of life.Malicious software (a.k.a., malware), for example, can disrupt the distribution of electricity across a region, which in turn can lead to the forced shutdown of communication, health and financial sectors. Subsequently, proper engineering and management are important to anticipate possible risks and threats and provide resilient CIS. Although the problem of CIS has been broadly acknowledged and discussed, to date, no unifying theory nor systematic design methods, techniques and tools exist for such CIS.

  • Diagnostic Biomedical Signal and Image Processing Applications With Deep Learning Methods

    • 1st Edition
    • Kemal Polat + 1 more
    • English
    Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods presents comprehensive research on both medical imaging and medical signals analysis. The book discusses classification, segmentation, detection, tracking and retrieval applications of non-invasive methods such as EEG, ECG, EMG, MRI, fMRI, CT and X-RAY, amongst others. These image and signal modalities include real challenges that are the main themes that medical imaging and medical signal processing researchers focus on today. The book also emphasizes removing noise and specifying dataset key properties, with each chapter containing details of one of the medical imaging or medical signal modalities. Focusing on solving real medical problems using new deep learning and CNN approaches, this book will appeal to research scholars, graduate students, faculty members, R&D engineers, and biomedical engineers who want to learn how medical signals and images play an important role in the early diagnosis and treatment of diseases.

  • Intelligent Edge Computing for Cyber Physical Applications

    • 1st Edition
    • D. Jude Hemanth + 3 more
    • English
    Intelligent Edge Computing for Cyber Physical Applications introduces state-of-the-art research methodologies, tools and techniques, challenges, and solutions with further research opportunities in the area of edge-based cyber-physical systems. The book presents a comprehensive review of recent literature and analysis of different techniques for building edge-based CPS. In addition, it describes how edge-based CPS can be built to seamlessly interact with physical machines for optimal performance, covering various aspects of edge computing architectures for dynamic resource provisioning, mobile edge computing, energy saving scenarios, and different security issues. Sections feature practical use cases of edge-computing which will help readers understand the workings of edge-based systems in detail, taking into account the need to present intellectual challenges while appealing to a broad readership, including academic researchers, practicing engineers and managers, and graduate students.

  • Artificial Intelligence and Industry 4.0

    • 1st Edition
    • Aboul Ella Hassanien + 2 more
    • English
    Artificial Intelligence and Industry 4.0 explores recent advancements in blockchain technology and artificial intelligence (AI) as well as their crucial impacts on realizing Industry 4.0 goals. The book explores AI applications in industry including Internet of Things (IoT) and Industrial Internet of Things (IIoT) technology. Chapters explore how AI (machine learning, smart cities, healthcare, Society 5.0, etc.) have numerous potential applications in the Industry 4.0 era. This book is a useful resource for researchers and graduate students in computer science researching and developing AI and the IIoT.

  • Essential MATLAB for Engineers and Scientists

    • 8th Edition
    • Daniel T. Valentine + 1 more
    • English
    Essential MATLAB for Engineers and Scientists, Eighth Edition provides a concise and balanced overview of MATLAB's functionality, covering both fundamentals and applications. The essentials are illustrated throughout, featuring complete coverage of the software's windows and menus. Program design and algorithm development are presented, along with many examples from a wide range of familiar scientific and engineering areas. This edition has been updated to include the latest MATLAB versions through 2021a. This is an ideal book for a first course on MATLAB, but is also ideal for an engineering problem-solving course using MATLAB.

  • Multi-Paradigm Modelling Approaches for Cyber-Physical Systems

    • 1st Edition
    • Bedir Tekinerdogan + 5 more
    • English
    Multi-Paradigm Modelling for Cyber-Physical Systems explores modeling and analysis as crucial activities in the development of Cyber-Physical Systems, which are inherently cross-disciplinary in nature and require distinct modeling techniques related to different disciplines, as well as a common background knowledge. This book will serve as a reference for anyone starting in the field of CPS who needs a solid foundation of modeling, including a comprehensive introduction to existing techniques and a clear explanation of their advantages and limitations. This book is aimed at both researchers and practitioners who are interested in various modeling paradigms across computer science and engineering.

  • The Feature-Driven Method for Structural Optimization

    • 1st Edition
    • Weihong Zhang + 1 more
    • English
    The Feature-Driven Method for Structural Optimization details a novel structural optimization method within a CAD framework, integrating structural optimization and feature-based design. The book presents cutting-edge research on advanced structures and introduces the feature-driven structural optimization method by regarding engineering features as basic design primitives. Consequently, it presents a method that allows structural optimization and feature design to be done simultaneously so that feature attributes are preserved throughout the design process. The book illustrates and supports the effectiveness of the method described, showing potential applications through numerical modeling techniques and programming. This volume presents a high-performance optimization method adapted to engineering structures—a novel perspective that will help engineers in the computation, modeling and design of advanced structures.

  • Programming for Electrical Engineers

    MATLAB and Spice
    • 1st Edition
    • James C. Squire + 1 more
    • English
    Programming for Electrical Engineers: MATLAB and Spice introduces beginning engineering students to programming in Matlab and Spice through engaged, problem-based learning and dedicated electrical and computer engineering content. The book draws its problems and examples specifically from electrical and computer engineering, covering such topics as circuit analysis, signal processing, and filter design. It teaches relevant computational techniques in the context of solving common problems in electrical and computer engineering, including mesh and nodal analysis, Fourier transforms, and phasor analysis. Programming for Electrical Engineers: MATLAB and Spice is unique among MATLAB textbooks for its dual focus on introductory-level learning and discipline-specific content in electrical and computer engineering. No other textbook on the market currently targets this audience with the same attention to discipline-specific content and engaged learning practices. Although it is primarily an introduction to programming in MATLAB, the book also has a chapter on circuit simulation using Spice, and it includes materials required by ABET Accreditation reviews, such as information on ethics, professional development, and lifelong learning.

  • Building Big Data Applications

    • 1st Edition
    • Krish Krishnan
    • English
    Building Big Data Applications helps data managers and their organizations make the most of unstructured data with an existing data warehouse. It provides readers with what they need to know to make sense of how Big Data fits into the world of Data Warehousing. Readers will learn about infrastructure options and integration and come away with a solid understanding on how to leverage various architectures for integration. The book includes a wide range of use cases that will help data managers visualize reference architectures in the context of specific industries (healthcare, big oil, transportation, software, etc.).

  • Data Governance

    How to Design, Deploy, and Sustain an Effective Data Governance Program
    • 2nd Edition
    • John Ladley
    • English
    Managing data continues to grow as a necessity for modern organizations. There are seemingly infinite opportunities for organic growth, reduction of costs, and creation of new products and services. It has become apparent that none of these opportunities can happen smoothly without data governance. The cost of exponential data growth and privacy / security concerns are becoming burdensome. Organizations will encounter unexpected consequences in new sources of risk. The solution to these challenges is also data governance; ensuring balance between risk and opportunity. Data Governance, Second Edition, is for any executive, manager or data professional who needs to understand or implement a data governance program. It is required to ensure consistent, accurate and reliable data across their organization. This book offers an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable. This valuable resource provides comprehensive guidance to beginning professionals, managers or analysts looking to improve their processes, and advanced students in Data Management and related courses. With the provided framework and case studies all professionals in the data governance field will gain key insights into launching successful and money-saving data governance program.

  • Model Management and Analytics for Large Scale Systems

    • 1st Edition
    • Bedir Tekinerdogan + 4 more
    • English
    Model Management and Analytics for Large Scale Systems covers the use of models and related artefacts (such as metamodels and model transformations) as central elements for tackling the complexity of building systems and managing data. With their increased use across diverse settings, the complexity, size, multiplicity and variety of those artefacts has increased. Originally developed for software engineering, these approaches can now be used to simplify the analytics of large-scale models and automate complex data analysis processes. Those in the field of data science will gain novel insights on the topic of model analytics that go beyond both model-based development and data analytics. This book is aimed at both researchers and practitioners who are interested in model-based development and the analytics of large-scale models, ranging from big data management and analytics, to enterprise domains. The book could also be used in graduate courses on model development, data analytics and data management.

  • Liengme's Guide to Excel 2016 for Scientists and Engineers

    (Windows and Mac)
    • 1st Edition
    • Bernard Liengme + 1 more
    • English
    Liengme’s Guide to Excel 2016 for Scientists and Engineers is a completely updated guide for students, scientists, and engineers who want to use Microsoft Excel 2016 to its full potential, whether you’re using a PC or a Mac. Electronic spreadsheet analysis has become part of the everyday work of researchers in all areas of engineering and science. Microsoft Excel, as the industry standard spreadsheet, has a range of scientific functions that can be utilized for the modeling, analysis, and presentation of quantitative data. This text provides a straightforward guide to using these functions of Microsoft Excel, guiding the reader from basic principles through to more complicated areas such as formulae, charts, curve-fitting, equation solving, integration, macros, statistical functions, and presenting quantitative data.

  • Essential MATLAB for Engineers and Scientists

    • 7th Edition
    • Daniel T. Valentine + 1 more
    • English
    Essential MATLAB for Engineers and Scientists, Seventh Edition, provides a concise, balanced overview of MATLAB's functionality, covering both fundamentals and applications. The essentials are illustrated throughout, featuring complete coverage of the software's windows and menus. Program design and algorithm development are presented, along with many examples from a wide range of familiar scientific and engineering areas. This edition has been updated to include the latest MATLAB versions through 2018b. This is an ideal book for a first course on MATLAB, but is also ideal for an engineering problem-solving course using MATLAB.

  • Principles and Practice of Big Data

    Preparing, Sharing, and Analyzing Complex Information
    • 2nd Edition
    • Jules J. Berman
    • English
    Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information, Second Edition updates and expands on the first edition, bringing a set of techniques and algorithms that are tailored to Big Data projects. The book stresses the point that most data analyses conducted on large, complex data sets can be achieved without the use of specialized suites of software (e.g., Hadoop), and without expensive hardware (e.g., supercomputers). The core of every algorithm described in the book can be implemented in a few lines of code using just about any popular programming language (Python snippets are provided). Through the use of new multiple examples, this edition demonstrates that if we understand our data, and if we know how to ask the right questions, we can learn a great deal from large and complex data collections. The book will assist students and professionals from all scientific backgrounds who are interested in stepping outside the traditional boundaries of their chosen academic disciplines.

  • Handbook of Neural Computation

    • 1st Edition
    • Pijush Samui + 2 more
    • English
    Handbook of Neural Computation explores neural computation applications, ranging from conventional fields of mechanical and civil engineering, to electronics, electrical engineering and computer science. This book covers the numerous applications of artificial and deep neural networks and their uses in learning machines, including image and speech recognition, natural language processing and risk analysis. Edited by renowned authorities in this field, this work is comprised of articles from reputable industry and academic scholars and experts from around the world. Each contributor presents a specific research issue with its recent and future trends. As the demand rises in the engineering and medical industries for neural networks and other machine learning methods to solve different types of operations, such as data prediction, classification of images, analysis of big data, and intelligent decision-making, this book provides readers with the latest, cutting-edge research in one comprehensive text.

  • Essential MATLAB for Engineers and Scientists

    • 6th Edition
    • Daniel T. Valentine + 1 more
    • English
    Essential MATLAB for Engineers and Scientists, Sixth Edition, provides a concise, balanced overview of MATLAB's functionality that facilitates independent learning, with coverage of both the fundamentals and applications. The essentials of MATLAB are illustrated throughout, featuring complete coverage of the software's windows and menus. Program design and algorithm development are presented clearly and intuitively, along with many examples from a wide range of familiar scientific and engineering areas. This updated edition includes the latest MATLAB versions through 2016a, and is an ideal book for a first course on MATLAB, or for an engineering problem-solving course using MATLAB, as well as a self-learning tutorial for professionals and students expected to learn and apply MATLAB.

  • A Guide to Microsoft Excel 2013 for Scientists and Engineers

    • 1st Edition
    • Bernard Liengme
    • English
    Completely updated guide for students, scientists and engineers who want to use Microsoft Excel 2013 to its full potential. Electronic spreadsheet analysis has become part of the everyday work of researchers in all areas of engineering and science. Microsoft Excel, as the industry standard spreadsheet, has a range of scientific functions that can be utilized for the modeling, analysis and presentation of quantitative data. This text provides a straightforward guide to using these functions of Microsoft Excel, guiding the reader from basic principles through to more complicated areas such as formulae, charts, curve-fitting, equation solving, integration, macros, statistical functions, and presenting quantitative data.

  • An Introduction to MATLAB® Programming and Numerical Methods for Engineers

    • 1st Edition
    • Timmy Siauw + 1 more
    • English
    Assuming no prior background in linear algebra or real analysis, An Introduction to MATLAB® Programming and Numerical Methods for Engineers enables you to develop good computational problem solving techniques through the use of numerical methods and the MATLAB® programming environment. Part One introduces fundamental programming concepts, using simple examples to put new concepts quickly into practice. Part Two covers the fundamentals of algorithms and numerical analysis at a level allowing you to quickly apply results in practical settings.

  • Essential MATLAB for Engineers and Scientists

    • 5th Edition
    • Daniel T. Valentine + 1 more
    • English
    The fifth edition of Essential MATLAB for Engineers and Scientists provides a concise, balanced overview of MATLAB's functionality that facilitates independent learning, with coverage of both the fundamentals and applications. The essentials of MATLAB are illustrated throughout, featuring complete coverage of the software's windows and menus. Program design and algorithm development are presented clearly and intuitively, along with many examples from a wide range of familiar scientific and engineering areas. This is an ideal book for a first course on MATLAB or for an engineering problem-solving course using MATLAB, as well as a self-learning tutorial for professionals and students expected to learn and apply MATLAB.

  • MATLAB® by Example

    Programming Basics
    • 1st Edition
    • Munther Gdeisat + 1 more
    • English
    MATLAB By Example guides the reader through each step of writing MATLAB programs. The book assumes no previous programming experience on the part of the reader, and uses multiple examples in clear language to introduce concepts and practical tools. Straightforward and detailed instructions allow beginners to learn and develop their MATLAB skills quickly. The book consists of ten chapters, discussing in detail the integrated development environment (IDE), scalars, vectors, arrays, adopting structured programming style using functions and recursive functions, control flow, debugging, profiling, and structures. A chapter also describes Symbolic Math Toolbox, teaching readers how to solve algebraic equations, differentiation, integration, differential equations, and Laplace and Fourier transforms. Containing hundreds of examples illustrated using screen shots, hundreds of exercises, and three projects, this book can be used to complement coursework or as a self-study book, and can be used as a textbook in universities, colleges and high schools.

  • Numerical Methods

    Using MATLAB
    • 3rd Edition
    • George Lindfield + 1 more
    • English
    Numerical Methods using MATLAB, 3e, is an extensive reference offering hundreds of useful and important numerical algorithms that can be implemented into MATLAB for a graphical interpretation to help researchers analyze a particular outcome. Many worked examples are given together with exercises and solutions to illustrate how numerical methods can be used to study problems that have applications in the biosciences, chaos, optimization, engineering and science across the board.

  • Modelling and Simulation of Integrated Systems in Engineering

    Issues of Methodology, Quality, Testing and Application
    • 1st Edition
    • D J Murray-Smith
    • English
    This book places particular emphasis on issues of model quality and ideas of model testing and validation. Mathematical and computer-based models provide a foundation for explaining complex behaviour, decision-making, engineering design and for real-time simulators for research and training. Many engineering design techniques depend on suitable models, assessment of the adequacy of a given model for an intended application is therefore critically important. Generic model structures and dependable libraries of sub-models that can be applied repeatedly are increasingly important. Applications are drawn from the fields of mechanical, aeronautical and control engineering, and involve non-linear lumped-parameter models described by ordinary differential equations.

  • Essentials of Scientific Computing

    Numerical Methods for Science and Engineering
    • 1st Edition
    • Victor Zalizniak
    • English
    Modern development of science and technology is based to a large degree on computer modelling. To understand the principles and techniques of computer modelling, students should first get a strong background in classical numerical methods, which are the subject of this book. This text is intended for use in a numerical methods course for engineering and science students, but will also be useful as a handbook on numerical techniques for research students.Essentials of Scientific Computing is as self-contained as possible and considers a variety of methods for each type of problem discussed. It covers the basic ideas of numerical techniques, including iterative process, extrapolation and matrix factorization, and practical implementation of the methods shown is explained through numerous examples. An introduction to MATLAB is included, together with a brief overview of modern software widely used in scientific computations.

  • Feature Extraction & Image Processing

    • 2nd Edition
    • Mark Nixon
    • English
    Whilst other books cover a broad range of topics, Feature Extraction and Image Processing takes one of the prime targets of applied computer vision, feature extraction, and uses it to provide an essential guide to the implementation of image processing and computer vision techniques. Acting as both a source of reference and a student text, the book explains techniques and fundamentals in a clear and concise manner and helps readers to develop working techniques, with usable code provided throughout. The new edition is updated throughout in line with developments in the field, and is revised to focus on mathematical programming in Matlab.

  • Computational Fluid Dynamics

    A Practical Approach
    • 1st Edition
    • Jiyuan Tu + 2 more
    • English
    Computational Fluid Dynamics enables engineers to model and predict fluid flow in powerful, visually impressive ways and is one of the core engineering design tools, essential to the study and future work of many engineers. This textbook is designed to explcitly meet the needs engineering students taking a first course in CFD or computer-aided engineering. Fully course matched, with the most extensive and rigorous pedagogy and features of any book in the field, it is certain to be a key text.

  • Engineering with Mathcad

    Using Mathcad to Create and Organize your Engineering Calculations
    • 1st Edition
    • Brent Maxfield
    • English
    Using the author’s considerable experience of applying Mathcad to engineering problems, Engineering with Mathcad identifies the most powerful functions and features of the software and teaches how to apply these to create comprehensive engineering calculations. Many examples from a variety of engineering fields demonstrate the power and utility of Mathcad’s tools, while also demonstrating how other software, such as Microsoft Excel spreadsheets, can be incorporated effectively. This simple, step-by-step approach makes this book an ideal Mathcad text for professional engineers as well as engineering and science students.A CD-ROM packaged with the book contains all the examples in the text and an evaluation version of the Mathcad software, enabling the reader to learn by doing and experiment by changing parameters.

  • Excel by Example

    A Microsoft Excel Cookbook for Electronics Engineers
    • 1st Edition
    • Aubrey Kagan
    • English
    The spreadsheet has become a ubiquitous engineering tool, and Microsoft Excel is the standard spreadsheet software package. Over the years, Excel has become such a complex program that most engineers understand and use only a tiny part of its power and features. This book is aimed at electronics engineers and technicians in particular, showing them how to best use Excel's features for computations, circuit modeling, graphing, and data analysis as applied to electronics design. Separate chapters cover lookup tables and file I/O, using macros, graphing, controls, using Analysis Toolpak for statistical analysis, databases, and linking into Excel from other sources, such as data from a serial port. The book is basically an engineering cookbook, with each chapter providing tutorial information along with several Excel "recipes" of interest to electronics engineers. The accompanying CD-ROM features ready-to-run, customizable Excel worksheets derived from the book examples, which will be useful tools to add to any electronics engineer's spreadsheet toolbox. Engineers are looking for any and all means to increase their efficiency and add to their "bag of design tricks." Just about every electronics engineer uses Excel but most feel that the program has many more features to offer, if they only knew what they were! The Excel documentation is voluminous and electronics engineers don't have the time to read it all and sift through looking for those features that are directly applicable to their jobs and figure out how to use them. This book does that task for them-pulls out those features that they need to know about and shows them how to make use of them in specific design examples that they can then tailor to their own design needs.

  • Newnes PC Troubleshooting Pocket Book

    • 3rd Edition
    • Howard Anderson + 1 more
    • English
    Newnes PC Troubleshooting Pocket Book provides a concise and compact reference that describes, in a clear and straightforward manner, the principles and practice of faultfinding and upgrading PCs and peripherals. The strong practical emphasis is backed up with many illustrations and examples of real-lie problems. The book is aimed at anyone who is involved with the installation, configuration, maintenance, upgrading, repair or support of PC systems. It also provides non-technical users with sufficient background information, charts and checklists to enable the diagnosis of faults and help to carry out simple modifications and repairs. The new edition of PC Troubleshooting will continue to include a number of short cuts that are instrumental in avoiding hours of potential frustration and costly effort. In order to reflect rapid changes in computer technology (both hardware and software) this new edition has been completely revised and rewritten. New and expanded sections on: modern machines (Pentium II, III, IV, AMD); modern buses (FSB, AGP, Cyrix, Chip sets); different RAM chip types and connectors; Win 2000, ME, XP; latest SCSI standards, Ultra DMA, "live" re-partitioning of the disc, FAT16, FAT36, NTFS, performance and compatibility differences; 'famous' viruses and personal firewalls.

  • Guide to Microsoft Excel 2002 for Scientists and Engineers

    • 3rd Edition
    • Bernard Liengme
    • English
    The new edition has been brought fully up to date with the new Microsoft Office XP release of Excel 2002 but can be used alongside any previous version of Excel, with new Excel 2002 features clearly indicated throughout.

  • Essential Java for Scientists and Engineers

    • 1st Edition
    • Brian H. Hahn + 1 more
    • English
    Essential Java serves as an introduction to the programming language, Java, for scientists and engineers, and can also be used by experienced programmers wishing to learn Java as an additional language. The book focuses on how Java, and object-oriented programming, can be used to solve science and engineering problems.Many examples are included from a number of different scientific and engineering areas, as well as from business and everyday life. Pre-written packages of code are provided to help in such areas as input/output, matrix manipulation and scientific graphing.

  • Inverse Problems and Inverse Scattering of Plane Waves

    • 1st Edition
    • D.N. Roy + 1 more
    • English
    The purpose of this text is to present the theory and mathematics of inverse scattering, in a simple way, to the many researchers and professionals who use it in their everyday research. While applications range across a broad spectrum of disciplines, examples in this text will focus primarly, but not exclusively, on acoustics. The text will be especially valuable for those applied workers who would like to delve more deeply into the fundamentally mathematical character of the subject matter.Practitioners in this field comprise applied physicists, engineers, and technologists, whereas the theory is almost entirely in the domain of abstract mathematics. This gulf between the two, if bridged, can only lead to improvement in the level of scholarship in this highly important discipline. This is the book's primary focus.

  • Guide to Microsoft Excel for Scientists and Engineers

    • 2nd Edition
    • Bernard Liengme
    • English
    Microsoft Excel has a wide range of scientific functions that the average user would never encounter, let alone utilise, and students keen to use Excel to analyse and represent the results of their experiments are currently forced to wade through almost incomprehensible manuals on Excel. 'A Guide to Microsoft Excel for Scientists and Engineers' gives scientific and engineering students a clear introduction to the use of excel for the analysis and presentation of experimental results, before going on to discuss some of the more advanced functions, such as modelling.Completely updated to cover the latest versions of Excel, including 2000, Bernard Liengme has also included new material on functions, statistics and the 'Solver' tool, as well as completely rewritten the section on charts. In addition, he has focused on: formulas; charts; curve-fitting; equation solving; integration; macros; statistical functions; logic functions; databases; macros. This new edition of an already indispensable guide is one that no scientist or engineer can afford to be without.

  • Guide to Neural Computing Applications

    • 1st Edition
    • Lionel Tarassenko
    • English
    Neural networks have shown enormous potential for commercial exploitation over the last few years but it is easy to overestimate their capabilities. A few simple algorithms will learn relationships between cause and effect or organise large volumes of data into orderly and informative patterns but they cannot solve every problem and consequently their application must be chosen carefully and appropriately. This book outlines how best to make use of neural networks. It enables newcomers to the technology to construct robust and meaningful non-linear models and classifiers and benefits the more experienced practitioner who, through over familiarity, might otherwise be inclined to jump to unwarranted conclusions. The book is an invaluable resource not only for those in industry who are interested in neural computing solutions, but also for final year undergraduates or graduate students who are working on neural computing projects. It provides advice which will help make the best use of the growing number of commercial and public domain neural network software products, freeing the specialist from dependence upon external consultants.

  • Cobol for Students

    • 4th Edition
    • Andrew Parkin + 1 more
    • English
    COBOL for Students has established itself as one of the most successful teaching texts on COBOL programming and is now in its fourth edition. The first part of the book concentrates on the fundamentals of the language and takes students to the point where they can write modestly sized programs using sequential files. Part two assumes competence in elementary COBOL and explains design and other programming techniques which should be part of the professional programmer's repertoire. Part three extends the student's knowledge of the language by explaining some of the more advanced features of COBOL.Written for students learning COBOL for the first time, it takes the reader from the basic fundamentals right through to some of the more advanced features in one handy, and inexpensive volume. As many lecture courses have been based upon earlier editions of this book, this edition maintains the highly successful style and format and has been updated to include the 'Intrinsic Function Module for COBOL'. (This is the ANSI Standard X3.23a-1989 (COBOL 89) which has also been adopted as ISO International Standard 1989 Addendum 1 (an addendum to the ANSI Standard X3.23-1985 (COBOL 85)) and consists mainly of 42 predefined functions related to many different application areas).

  • FORTRAN 90 for Scientists and Engineers

    • 1st Edition
    • Brian H. Hahn
    • English
    The introduction of the Fortran 90 standard is the first significant change in the Fortran language in over 20 years. this book is designed for anyone wanting to learn Fortran for the first time or or a programmer who needs to upgrade from Fortran 77 to Fortran 90.Employing a practical, problem-based approach this book provides a comprehensive introduction to the language. More experienced programmers will find it a useful update to the new standard and will benefit from the emphasis on science and engineering applications.