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Introduction to Computational Science
Computational science is an exciting new field at the intersection of the sciences, computer science, and mathematics because much scientific investigation now involves computing as well as theory and experiment. This textbook provides students with a versatile and accessible introduction to the subject. It assumes only a background in high school algebra, enables instructors to follow tailored pathways through the material, and is the only textbook of its kind designed specifically for an introductory course in the computational science and engineering curriculum. While the text itself is generic, an accompanying website offers tutorials and files in a variety of software packages. This fully updated and expanded edition features two new chapters on agent-based simulations and modeling with matrices, ten new project modules, and an additional module on diffusion. Besides increased treatment of high-performance computing and its applications, the book also includes additional quick review questions with answers, exercises, and individual and team projects.* The only introductory textbook of its kind--now fully updated and expanded* Features two new chapters on agent-based simulations and modeling with matrices* Increased coverage of high-performance computing and its applications* Includes additional modules, review questions, exercises, and projects* An online instructor's manual with exercise answers, selected project solutions, and a test bank and solutions (available only to professors)* An online illustration package is available to professors
R 4,641.00
Introduction to Genetic Engineering
The fourth edition of this popular textbook retains its focus on the fundamental principles of gene manipulation, providing an accessible and broad-based introduction to the subject for beginning undergraduate students. It has been brought thoroughly up to date with new chapters on the story of DNA and genome editing, and new sections on bioethics, significant developments in sequencing technology and structural, functional and comparative genomics and proteomics, and the impact of transgenic plants. In addition to chapter summaries, learning objectives, concept maps, glossary and key word lists the book now also features new concluding sections, further reading lists and web-search activities for each chapter to provide a comprehensive suite of learning resources to help students develop a flexible and critical approach to the study of genetic engineering.
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Introduction to Atmospheric Thermodynamics
This is a self-contained, concise, rigorous book introducing the reader to the basics of atmospheric thermodynamics. This new edition has been brought completely up to date and reorganized to improve the quality and flow of the material. The introductory chapters provide definitions and useful mathematical and physical notes to help readers understand the basics. The book then describes the topics relevant to atmospheric processes, including the properties of moist air and atmospheric stability. It concludes with a brief introduction to the problem of weather forecasting and the relevance of thermodynamics. Each chapter contains worked examples and student exercises, with solutions available to instructors on a password protected website at www.cambridge.org/9780521796767. The author has taught atmospheric thermodynamics for over 20 years and is a highly respected researcher. This book is an ideal text for short undergraduate courses taken as part of an atmospheric science, meteorology, physics or natural science program.
R 3,119.00
Introduction to Acceptance Sampling and SPC with R
An Introduction to Acceptance Sampling and SPC with R is an introduction to statistical methods used in monitoring, controlling and improving quality. Topics covered include acceptance sampling; Shewhart control charts for Phase I studies; graphical and statistical tools for discovering and eliminating the cause of out-of-control-conditions; Cusum and EWMA control charts for Phase II process monitoring; and the design and analysis of experiments for process troubleshooting and discovering ways to improve process output. Origins of statistical quality control and the technical topics presented in the remainder of the book are those recommended in the ANSI/ASQ/ISO guidelines and standards for industry. The final chapter ties everything together by discussing modern management philosophies that encourage the use of the technical methods presented earlier.In the modern world sampling plans and the statistical calculations used in statistical quality control are done with the help of computers. As an open source high-level programming language with flexible graphical output options, R runs on Windows, Mac and Linux operating systems, and has add-on packages that equal or exceed the capability of commercial software for statistical methods used in quality control. In this book, we will focus on several R packages. In addition to demonstrating how to use R for acceptance sampling and control charts, this book will concentrate on how the use of these specific tools can lead to quality improvements both within a company and within their supplier companies.This would be a suitable book for a one-semester undergraduate course emphasizing statistical quality control for engineering majors (such as manufacturing engineering or industrial engineering), or a supplemental text for a graduate engineering course that included quality control topics.
R 3,156.46
Introduction to Machine Learning with Applications in Information Security
Introduction to Machine Learning with Applications in Information Security, Second Edition provides a classroom-tested introduction to a wide variety of machine learning and deep learning algorithms and techniques, reinforced via realistic applications. The book is accessible and doesn’t prove theorems, or dwell on mathematical theory. The goal is to present topics at an intuitive level, with just enough detail to clarify the underlying concepts.The book covers core classic machine learning topics in depth, including Hidden Markov Models (HMM), Support Vector Machines (SVM), and clustering. Additional machine learning topics include k-Nearest Neighbor (k-NN), boosting, Random Forests, and Linear Discriminant Analysis (LDA). The fundamental deep learning topics of backpropagation, Convolutional Neural Networks (CNN), Multilayer Perceptrons (MLP), and Recurrent Neural Networks (RNN) are covered in depth. A broad range of advanced deep learning architectures are also presented, including Long Short-Term Memory (LSTM), Generative Adversarial Networks (GAN), Extreme Learning Machines (ELM), Residual Networks (ResNet), Deep Belief Networks (DBN), Bidirectional Encoder Representations from Transformers (BERT), and Word2Vec. Finally, several cutting-edge deep learning topics are discussed, including dropout regularization, attention, explainability, and adversarial attacks.Most of the examples in the book are drawn from the field of information security, with many of the machine learning and deep learning applications focused on malware. The applications presented serve to demystify the topics by illustrating the use of various learning techniques in straightforward scenarios. Some of the exercises in this book require programming, and elementary computing concepts are assumed in a few of the application sections. However, anyone with a modest amount of computing experience should have no trouble with this aspect of the book.Instructor resources, including PowerPoint slides, lecture videos, and other relevant material are provided on an accompanying website: http://www.cs.sjsu.edu/~stamp/ML/.
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Introduction to Artificial Intelligence
In the chapters in Part I of this textbook the author introduces the fundamental ideas of artificial intelligence and computational intelligence. In Part II he explains key AI methods such as search, evolutionary computing, logic-based reasoning, knowledge representation, rule-based systems, pattern recognition, neural networks, and cognitive architectures. Finally, in Part III, he expands the context to discuss theories of intelligence in philosophy and psychology, key applications of AI systems, and the likely future of artificial intelligence. A key feature of the author's approach is historical and biographical footnotes, stressing the multidisciplinary character of the field and its pioneers.The book is appropriate for advanced undergraduate and graduate courses in computer science, engineering, and other applied sciences, and the appendices offer short formal, mathematical models and notes to support the reader.
R 3,895.10
Introduction to Teaching
The expectations of what it is to be a teacher are as high as ever. An Introduction to Teaching, which is the second edition of the well-established textbook Learning to Teach, provides a fully up-to-date introduction to the process and practice of teaching, and the personal and professional skills that successful teaching requires. This comprehensive update of the first edition is written in accordance with the Teacher Training Association and DfES guidelines, and provides in-depth coverage of all the modules included in the teacher training programme. Taking into account recent developments in policy and practice, contributors have incorporated new material covering teaching and classroom management, new approaches to planning, targeting effective learning, introduction to professional requirements and continuing professional development.The book also includes key chapters on the following:the National Curriculumchildren's learningthe use of ITplanning and preparationteaching and classroom managementspecial educational needsworking with parents.
R 2,308.00
Introduction to Software Testing
Get started and hit the ground running in the world of software testing. This simple and practical guide teaches you the fundamentals of software testing, with no prior experience required.You will start by learning functional and non-functional software testing. Then you will gain an understanding of the primary responsibilities of a tester in the Software Development Life Cycle and how to plan and execute testing activities. You will also learn how testing applies to an agile environment, what challenges you might face in your day-to-day life as a tester, and how to overcome them. You will learn the most commonly used test design techniques, with ample examples and exercises to practice yourself.By the end of this book, you will understand the software testing ecosystem, from its types, techniques, and tools, to test planning, execution, and reporting.What You Will LearnMaster the fundamentals of Software TestingGain an understanding of different software testing typesPlan and execute testing activitiesApply test design techniques to concrete examples Who This Book Is ForSoftware testers, developers, project managers, and other stakeholders involved in software testing.
R 1,275.67
Introduction to Digital Audio Coding and Standards
Introduction to Digital Audio Coding and Standards provides a detailed introduction to the methods, implementations, and official standards of state-of-the-art audio coding technology. In the book, the theory and implementation of each of the basic coder building blocks is addressed. The building blocks are then fit together into a full coder and the reader is shown how to judge the performance of such a coder. Finally, the authors discuss the features, choices, and performance of the main state-of-the-art coders defined in the ISO/IEC MPEG and HDTV standards and in commercial use today. The ultimate goal of this book is to present the reader with a solid enough understanding of the major issues in the theory and implementation of perceptual audio coders that they are able to build their own simple audio codec. There is no other source available where a non-professional has access to the true secrets of audio coding.
R 3,064.52
Operations Research: Introduction To Models And Methods
This attractive textbook with its easy-to-follow presentation provides a down-to-earth introduction to operations research for students in a wide range of fields such as engineering, business analytics, mathematics and statistics, computer science, and econometrics. It is the result of many years of teaching and collective feedback from students.The book covers the basic models in both deterministic and stochastic operations research and is a springboard to more specialized texts, either practical or theoretical. The emphasis is on useful models and interpreting the solutions in the context of concrete applications.The text is divided into several parts. The first three chapters deal exclusively with deterministic models, including linear programming with sensitivity analysis, integer programming and heuristics, and network analysis. The next three chapters primarily cover basic stochastic models and techniques, including decision trees, dynamic programming, optimal stopping, production planning, and inventory control. The final five chapters contain more advanced material, such as discrete-time and continuous-time Markov chains, Markov decision processes, queueing models, and discrete-event simulation.Each chapter contains numerous exercises, and a large selection of exercises includes solutions.
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Introduction to the Theory of Interest
This title is part of UC Press's Voices Revived program, which commemorates University of California Press’s mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1959.
R 1,470.00
Introduction to Linguistic Annotation and Text Analytics
Linguistic annotation and text analytics are active areas of research and development, with academic conferences and industry events such as the Linguistic Annotation Workshops and the annual Text Analytics Summits. This book provides a basic introduction to both fields, and aims to show that good linguistic annotations are the essential foundation for good text analytics. After briefly reviewing the basics of XML, with practical exercises illustrating in-line and stand-off annotations, a chapter is devoted to explaining the different levels of linguistic annotations. The reader is encouraged to create example annotations using the WordFreak linguistic annotation tool. The next chapter shows how annotations can be created automatically using statistical NLP tools, and compares two sets of tools, the OpenNLP and Stanford NLP tools. The second half of the book describes different annotation formats and gives practical examples of how to interchange annotations between different formats using XSLT transformations. The two main text analytics architectures, GATE and UIMA, are then described and compared, with practical exercises showing how to configure and customize them. The final chapter is an introduction to text analytics, describing the main applications and functions including named entity recognition, coreference resolution and information extraction, with practical examples using both open source and commercial tools. Copies of the example files, scripts, and stylesheets used in the book are available from the companion website, located at the book website. Table of Contents: Working with XML / Linguistic Annotation / Using Statistical NLP Tools / Annotation Interchange / Annotation Architectures / Text Analytics
R 1,559.08
Introduction to Statistical Machine Learning
Machine learning allows computers to learn and discern patterns without actually being programmed. When Statistical techniques and machine learning are combined together they are a powerful tool for analysing various kinds of data in many computer science/engineering areas including, image processing, speech processing, natural language processing, robot control, as well as in fundamental sciences such as biology, medicine, astronomy, physics, and materials. Introduction to Statistical Machine Learning provides a general introduction to machine learning that covers a wide range of topics concisely and will help you bridge the gap between theory and practice. Part I discusses the fundamental concepts of statistics and probability that are used in describing machine learning algorithms. Part II and Part III explain the two major approaches of machine learning techniques; generative methods and discriminative methods. While Part III provides an in-depth look at advanced topics that play essential roles in making machine learning algorithms more useful in practice. The accompanying MATLAB/Octave programs provide you with the necessary practical skills needed to accomplish a wide range of data analysis tasks.
R 3,825.00
Introduction to Scheduling
Full of practical examples, Introduction to Scheduling presents the basic concepts and methods, fundamental results, and recent developments of scheduling theory. With contributions from highly respected experts, it provides self-contained, easy-to-follow, yet rigorous presentations of the material.The book first classifies scheduling problems and their complexity and then presents examples that demonstrate successful techniques for the design of efficient approximation algorithms. It also discusses classical problems, such as the famous makespan minimization problem, as well as more recent advances, such as energy-efficient scheduling algorithms. After focusing on job scheduling problems that encompass independent and possibly parallel jobs, the text moves on to a practical application of cyclic scheduling for the synthesis of embedded systems. It also proves that efficient schedules can be derived in the context of steady-state scheduling. Subsequent chapters discuss scheduling large and computer-intensive applications on parallel resources, illustrate different approaches of multi-objective scheduling, and show how to compare the performance of stochastic task-resource systems. The final chapter assesses the impact of platform models on scheduling techniques.From the basics to advanced topics and platform models, this volume provides a thorough introduction to the field. It reviews classical methods, explores more contemporary models, and shows how the techniques and algorithms are used in practice.
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Introduction to Bayesian Econometrics
This textbook explains the basic ideas of subjective probability and shows how subjective probabilities must obey the usual rules of probability to ensure coherency. It defines the likelihood function, prior distributions and posterior distributions. It explains how posterior distributions are the basis for inference and explores their basic properties. Various methods of specifying prior distributions are considered, with special emphasis on subject-matter considerations and exchange ability. The regression model is examined to show how analytical methods may fail in the derivation of marginal posterior distributions. The remainder of the book is concerned with applications of the theory to important models that are used in economics, political science, biostatistics and other applied fields. New to the second edition is a chapter on semiparametric regression and new sections on the ordinal probit, item response, factor analysis, ARCH-GARCH and stochastic volatility models. The new edition also emphasizes the R programming language.
R 2,939.99
Introduction To 80X86 Assembly Language And Computer Architecture
A Revised and Updated Edition of the Authoritative TextThis revised and updated Third Edition of the classic text guides students through assembly language using a hands-on approach, supporting future computing professionals with the basics they need to understand the mechanics and function of the computer’s inner workings. Through using real instruction sets to write real assembly language programs, students will become acquainted with the basics of computer architecture. 80x86 Assembly Language and Computer Architecture covers the Intel 80x86 using the powerful tools provided by Microsoft Visual Studio, including its 32- and 64-bit assemblers, its versatile debugger, and its ability to link assembly language and C/C++ program segments. The text also includes multiple examples of how individual 80x86 instructions execute, as well as complete programs using these instructions. Hands-on exercises reinforce key concepts and problem-solving skills.Updated to be compatible with Visual Studio 2012, and incorporating over a hundred new exercises, 80x86 Assembly Language and Computer Architecture: Third Edition is accessible and clear enough for beginning students while providing coverage of a rich set of 80x86 instructions and their use in simple assembly language programs. The text will prepare students to program effectively at any level.Key features of the fully revised and updated Third Edition include:• Updated to be used with Visual Studio 2012, while remaining compatible with earlier versions• Over 100 new exercises and programming exercises• Improved, clearer layout with easy-to-read illustrations• The same clear and accessibly writing style as previous editions• Full suite of ancillary materials, including PowerPoint lecture outlines, Test Bank, and answer keys• Suitable as a stand-alone text in an assembly language course or as a supplement in a computer architecture course
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Introduction To Control Systems, An (2nd Edition)
This significantly revised edition presents a broad introduction to Control Systems and balances new, modern methods with the more classical. It is an excellent text for use as a first course in Control Systems by undergraduate students in all branches of engineering and applied mathematics. The book contains: A comprehensive coverage of automatic control, integrating digital and computer control techniques and their implementations, the practical issues and problems in Control System design; the three-term PID controller, the most widely used controller in industry today; numerous in-chapter worked examples and end-of-chapter exercises. This second edition also includes an introductory guide to some more recent developments, namely fuzzy logic control and neural networks.
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Introduction to Practice of Molecular Simulation
This book presents the most important and main concepts of the molecular and microsimulation techniques. It enables readers to improve their skills in developing simulation programs by providing physical problems and sample simulation programs for them to use.
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Introduction to Digital Media
This text presents an account of the development and future possibilities of digital media. Tony Feldman addresses fundamental questions about digital media and its potential use in our everyday lives. What "is" digital media? What is special about it? How do digital media systems work, technologically and commercially? And where is the digital media revolution taking us? Tony Feldman considers the new digital media in two distinct but increasingly converging areas: the world of packaged "off-line" media such as CD-ROM and the world of transmitted media, including digital broadcasting and interactive on-line services. He begins with an overview of the digital media landscape, and goes on to describe the impact of CD-based media and the development of a consumer market for multimedia products. He then traces the equally dramatic growth of online services and the internet in particular, assessing myths and realities about the information superhighway and its commercial possibilities.
R 9,301.58
Critical Introduction to Syntax
This book introduces, analyzes and critiques the main areas of debate within the field of syntax. This book introduces the main areas of debate within the field of syntax. Jim Miller analyzes the major themes in syntactic research, paying attention to overlooked non-generative theories and the adoption of the same concepts across different models of grammar. The book analyzes the difference between spoken and written syntax, standard and non-standard syntax, grammar and usage, and addresses concerns such as grammatical prescription. Examples are drawn from a range of everyday examples extracted from corpus data, to present an analysis of how syntax is used in the real world. Comprehensive, accessible and challenging, this book is essential reading for students taking introductory courses in syntax and syntactic theory, both at undergraduate and postgraduate level. "Continuum Critical Introductions to Linguistics" are comprehensive introductions to core areas in linguistics. The introductions are original and approach the subject from unique and different perspectives. Using contemporary examples and analogies, these books seek to explain complicated issues in an accessible way.The books prompt critical thinking about each core area, and are a radical departure from traditional, staid introductions to the subject. Written by key academics in each field who are not afraid to be controversial, each book will be essential reading for undergraduate students.
R 1,617.00
Introduction to Logistics Systems Management
INTRODUCTION TO LOGISTICS SYSTEMS MANAGEMENT The updated new edition of the award-winning introductory textbook on logistics system management Introduction to Logistics Systems Management provides an in-depth introduction to the methodological aspects of planning, organization, and control of logistics for organizations in the private, public and non-profit sectors. Based on the authors’ extensive teaching, research, and industrial consulting experience, this classic textbook is used in universities worldwide to teach students the use of quantitative methods for solving complex logistics problems. Fully updated and revised, the third edition places increased emphasis on the complexity and flexibility required by modern logistics systems. In this context, the extensive use of data, descriptive analytics, predictive models, and optimization techniques will be invaluable to support the decisions and actions of logistics and supply chain managers. Throughout the book, brand-new case studies and numerical examples illustrate how various methods can be used in industrial and service logistics to reduce costs and improve service levels. The book: includes new models and techniques that have emerged over the past decade; describes methodologies for logistics decision making, forecasting, logistics system design, procurement, warehouse management, and freight transportation management; includes end-of-chapter exercises, Microsoft® Excel® files and Python® computer codes for each algorithm covered; includes access to a companion website with additional exercises, links to video tutorials, and supplementary teaching material. To facilitate creation of course material, additional LaTeX source data containing the formulae, optimization models, tables and algorithms described in the book is available to instructors. Introduction to Logistics Systems Management, Third Edition remains an essential textbook for senior undergraduate and graduate students in engineering, computer science, and management science courses. It is also a highly useful reference for academic researchers and industry practitioners alike.
R 2,265.00
Practical Introduction to Hardware/Software Codesign
This textbook serves as an introduction to the subject of embedded systems design, with emphasis on integration of custom hardware components with software. The key problem addressed in the book is the following: how can an embedded systems designer strike a balance between flexibility and efficiency? The book describes how combining hardware design with software design leads to a solution to this important computer engineering problem. The book covers four topics in hardware/software codesign: fundamentals, the design space of custom architectures, the hardware/software interface and application examples. The book comes with an associated design environment that helps the reader to perform experiments in hardware/software codesign. Each chapter also includes exercises and further reading suggestions. Improvements in this second edition include labs and examples using modern FPGA environments from Xilinx and Altera, which will make the material in this book applicable to a greater number of courses where these tools are already in use. More examples and exercises have been added throughout the book. “If I were teaching a course on this subject, I would use this as a resource and text. If I were a student who wanted to learn codesign, I would look for a course that at least used a similar approach. If I were an engineer or engineering manager who wanted to learn more about codesign from a very practical perspective, I would read this book first before any other. When I first started learning about codesign as a practitioner, a book like this would have been the perfect introduction.” --Grant Martin, Tensilica--
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Introduction to Cybercrime
Explaining cybercrime in a highly networked world, this book provides a comprehensive yet accessible summary of the history, modern developments, and efforts to combat cybercrime in various forms at all levels of government—international, national, state, and local.As the exponential growth of the Internet has made the exchange and storage of information quick and inexpensive, the incidence of cyber-enabled criminal activity—from copyright infringement to phishing to online pornography—has also exploded. These crimes, both old and new, are posing challenges for law enforcement and legislators alike. What efforts—if any—could deter cybercrime in the highly networked and extremely fast-moving modern world? Introduction to Cybercrime: Computer Crimes, Laws, and Policing in the 21st Century seeks to address this tough question and enables readers to better contextualize the place of cybercrime in the current landscape.This textbook documents how a significant side effect of the positive growth of technology has been a proliferation of computer-facilitated crime, explaining how computers have become the preferred tools used to commit crimes, both domestically and internationally, and have the potential to seriously harm people and property alike. The chapters discuss different types of cybercrimes—including new offenses unique to the Internet—and their widespread impacts. Readers will learn about the governmental responses worldwide that attempt to alleviate or prevent cybercrimes and gain a solid understanding of the issues surrounding cybercrime in today's society as well as the long- and short-term impacts of cybercrime.Provides accessible, comprehensive coverage of a complex topic that encompasses identity theft to copyright infringement written for non-technical readersPays due attention to important elements of cybercrime that have been largely ignored in the field, especially politicsSupplies examinations of both the domestic and international efforts to combat cybercrimeServes an ideal text for first-year undergraduate students in criminal justice programs
R 2,013.00
Introduction to Optimization Techniques
An Introduction to Optimization Techniques introduces the basic ideas and techniques of optimization. Optimization is a precise procedure using design constraints and criteria to enable the planner to find the optimal solution. Optimization techniques have been applied in numerous fields to deal with different practical problems. This book is designed to give the reader a sense of the challenge of analyzing a given situation and formulating a model for it while explaining the assumptions and inner structure of the methods discussed as fully as possible. It includes real-world examples and applications making the book accessible to a broader readership. Features Each chapter begins with the Learning Outcomes (LO) section, which highlights the critical points of that chapter. All learning outcomes, solved examples and questions are mapped to six Bloom Taxonomy levels (BT Level). Book offers fundamental concepts of optimization without becoming too complicated. A wide range of solved examples are presented in each section after the theoretical discussion to clarify the concept of that section. A separate chapter on the application of spreadsheets to solve different optimization techniques. At the end of each chapter, a summary reinforces key ideas and helps readers recall the concepts discussed.The wide and emerging uses of optimization techniques make it essential for students and professionals. Optimization techniques have been applied in numerous fields to deal with different practical problems. This book serves as a textbook for UG and PG students of science, engineering, and management programs. It will be equally useful for Professionals, Consultants, and Managers.
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Introduction to Mathematical Reasoning
The purpose of this book is to introduce the basic ideas of mathematical proof to students embarking on university mathematics. The emphasis is on helping the reader in understanding and constructing proofs and writing clear mathematics. This is achieved by exploring set theory, combinatorics and number theory, topics which include many fundamental ideas which are part of the tool kit of any mathematician. This material illustrates how familiar ideas can be formulated rigorously, provides examples demonstrating a wide range of basic methods of proof, and includes some of the classic proofs. The book presents mathematics as a continually developing subject. Material meeting the needs of readers from a wide range of backgrounds is included. Over 250 problems include questions to interest and challenge the most able student as well as plenty of routine exercises to help familiarize the reader with the basic ideas.
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Basic Math. an Introduction to Calculus
"BASIC MATH. An Introduction to Calculus" is an easy way to learn to learn mathematics with four main chapters; the first is based on set theory, the numerical system and the real straight with the Cartesian system from the plane and space. The second chapter shows applications of the theory of sets, permutations, combinations, relations and functions. The third chapter illustrates translations and functional models with the types of functions: real, polynomial, constant, linear, quadratic, exponential, logarithmic, trigonometric and inverse function. The fourth chapter develops equations and inequalities, along with linear or nonlinear systems of equations and inequalities. The fifth chapter concludes with solved recapitulation exercises. This work is aimed at university students in traditional academic programs or distance education in economic, administrative, social and humanistic sciences.
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Introduction To Graph Theory - With Solutions To Selected Problems
Graph theory is an area in discrete mathematics which studies configurations (called graphs) involving a set of vertices interconnected by edges. This book is intended as a general introduction to graph theory.The book builds on the verity that graph theory even at high school level is a subject that lends itself well to the development of mathematical reasoning and proof.This is an updated edition of two books already published with World Scientific, i.e., Introduction to Graph Theory: H3 Mathematics & Introduction to Graph Theory: Solutions Manual. The new edition includes solutions and hints to selected problems. This combination allows the book to be used as a textbook for undergraduate students. Professors can select unanswered problems for tutorials while students have solutions for reference.
R 2,125.00
Step-By-Step Introduction to Statistics for Business
A clear and concise introduction to statistics for business and management students, demonstrating how important statistics are in the business decision-making process and covering everything from conducting a survey and collecting data, to summarizing statistical data, and presenting findings. Each chapter features a real-world business situation and accompanying dataset, the reader is then encouraged to identify the correct statistical concept in the chapter and solve the problem outlined. Offering students a chance to use the newly learned theory in a practical way. New to the second edition: A "Review of Essential Mathematics" prologue, featuring tests and further links to help students refresh their knowledge of the core mathematical concepts used to calculate basic statistics. Updated screenshots on using IBM SPSS and Excel. A "Statistics in the Real World" feature included at the end of each chapter, demonstrating how statistics are applied in real-world business settings and research, accompanied by reflective questions. Updated case studies, examples and diagrams, illustrating key points and helping to reinforce learning. The book is accompanied by free online resources including step-by-step video tutorials on how to use Excel and IBM SPSS, datasets and worked solutions, an Instructors’ Manual, Testbank, and PowerPoint presentation slides for lecturers. Essential reading for business students wanting to know how to use statistics in a business setting.
R 3,825.00
Introduction to Computational Physics
Thoroughly revised for its second edition, this advanced textbook provides an introduction to the basic methods of computational physics, and an overview of progress in several areas of scientific computing by relying on free software available from CERN. The book begins by dealing with basic computational tools and routines, covering approximating functions, differential equations, spectral analysis, and matrix operations. Important concepts are illustrated by relevant examples at each stage. The author also discusses more advanced topics, such as molecular dynamics, modeling continuous systems, Monte Carlo methods, genetic algorithm and programming, and numerical renormalization. It includes many more exercises. This can be used as a textbook for either undergraduate or first-year graduate courses on computational physics or scientific computation. It will also be a useful reference for anyone involved in computational research.
R 2,359.00
Introduction to Coding Theory and Algebraic Geometry
These notes are based on lectures given in the semmar on "Coding Theory and Algebraic Geometry" held at Schloss Mickeln, Diisseldorf, November 16-21, 1987. In 1982 Tsfasman, Vladut and Zink, using algebraic geometry and ideas of Goppa, constructed a seqeunce of codes that exceed the Gilbert-Varshamov bound. The result was considered sensational. Furthermore, it was surprising to see these unrelated areas of mathematics collaborating. The aim of this course is to give an introduction to coding theory and to sketch the ideas of algebraic geometry that led to the new result. Finally, a number of applications of these methods of algebraic geometry to coding theory are given. Since this is a new area, there are presently no references where one can find a more extensive treatment of all the material. However, both for algebraic geometry and for coding theory excellent textbooks are available. The combination ofthe two subjects can only be found in a number ofsurvey papers. A book by C. Moreno with a complete treatment of this area is in preparation. We hope that these notes will stimulate further research and collaboration of algebraic geometers and coding theorists. G. van der Geer, J.H.van Lint Introduction to CodingTheory and Algebraic Geometry PartI -- CodingTheory Jacobus H. vanLint 11 1. Finite fields In this chapter we collect (without proof) the facts from the theory of finite fields that we shall need in this course.
R 1,410.25
Introduction to Software Process Improvement
This textbook is a systematic guide to the steps in setting up a Capability Maturity Model Integration (CMMI) improvement initiative. Readers will learn the project management practices necessary to deliver high-quality software solutions to the customer on time and on budget. The text also highlights how software process improvement can achieve specific business goals to provide a tangible return on investment. Topics and features: supplies review questions, summaries and key topics for each chapter, as well as a glossary of acronyms; describes the CMMI model thoroughly, detailing the five maturity levels; provides a broad overview of software engineering; reviews the activities and teams required to set up a CMMI improvement initiative; examines in detail the implementation of CMMI in a typical organization at each of the maturity levels; investigates the various tools that support organizations in improving their software engineering maturity; discusses the SCAMPI appraisal methodology.
R 1,145.65
Introduction to the Alexander Technique
Introduction to the Alexander Technique, part of the brand-new Acting Essentials series, is the first textbook about the Alexander Technique written specially for undergraduates. This eight-week program can be taught over the course of half a semester, a full semester, or dipped into as needed to address students’ issues with physicality, movement, breathing, voice and performance habits. The Alexander Technique has been a vital part of training for performers since the early 20th century. It is a core part of the curriculum at most acting conservatories and in many BFA programs. Sometimes considered purely a movement discipline, the Alexander Technique in fact takes into consideration the entire person—mind, body, voice, emotions, and imagination. Introduction to the Alexander Technique addresses the student’s self as a whole and is suitable for beginning acting students in any academic setting, including those who take performance classes as an elective. The book also includes more than 150 practical, easy-to-follow exercises that help students reduce tension and improve their alignment, flexibility, and poise. The textbook is supported by a range of online videos demonstrating key exercises described throughout the book.
R 1,029.00
Introduction to Convolutional Codes with Applications
Introduction to Convolutional Codes with Applications is an introduction to the basic concepts of convolutional codes, their structure and classification, various error correction and decoding techniques for convolutionally encoded data, and some of the most common applications. The definition and representations, distance properties, and important classes of convolutional codes are also discussed in detail. The book provides the first comprehensive description of table-driven correction and decoding of convolutionally encoded data. Complete examples of Viterbi, sequential, and majority-logic decoding technique are also included, allowing a quick comparison among the different decoding approaches. Introduction to Convolutional Codes with Applications summarizes the research of the last two decades on applications of convolutional codes in hybrid ARQ protocols. A new classification allows a natural way of studying the underlying concepts of hybrid schemes and accommodates all of the new research. A novel application of fast decodable invertible convolutional codes for lost packet recovery in high speed networks is described. This opens the door for using convolutional coding for error recovery in high speed networks. Practicing communications, electronics, and networking engineers who want to get a better grasp of the underlying concepts of convolutional coding and its applications will greatly benefit by the simple and concise style of explanation. An up-to-date bibliography of over 300 papers is included. Also suitable for use as a textbook or a reference text in an advanced course on coding theory with emphasis on convolutional codes.
R 4,648.40
Introduction to Primary Physical Education
Now in a fully revised and fully updated new edition, this comprehensive introduction to the teaching of Physical Education in primary schools is still the only textbook to cover the full sweep of the subject, from policy and curriculum developments to best practice and current debates.Written exclusively by primary Physical Education specialists, with primary school teaching experience, the book highlights the importance of Physical Education in the primary curriculum and the key issues facing primary teachers today, such as inclusion, training needs and the development of creativity. Central to the book are core chapters that examine each functional area common to many primary Physical Education syllabi – including games, dance, gymnastics, athletics and outdoor learning – and give clear, practical guidance on how to teach each topic. This new edition includes three completely new chapters, covering leadership, stakeholder interest in Physical Education delivery, and how to manage transitions.Rooted throughout in sound theory and the latest evidence and research, this book is essential reading for all students, trainee teachers and qualified teachers looking to understand and develop their professional practice in primary Physical Education.
R 9,439.85
Introduction to Child Development
An Introduction to Child Development, Third Edition provides undergraduate students in psychology and other disciplines with a comprehensive survey of the main areas of child development, from infancy through to adolescence, in a readily accessible format. It equips students with an appreciation of the critical issues, while providing balanced coverage of topics that represent both classic and cutting edge work in this vast and fascinating field.The new edition has been fully updated and features:Topical research examples from current literature in psychology, education, nursing and medicine including new material on fetal learning and the role of playNew and expanded sections covering key contemporary issues in cognitive, emotional and social developmentNew features such as ′Points for Reflection′ boxes, designed to encourage the reader to reflect more deeply on the subject matterAccess to an enhanced SAGE Edge companion website which features online readings, Powerpoint Slides, ‘Test Yourself’ questions and much more (https://edge.sagepub.com/keenan3e). This textbook is essential reading for undergraduate students taking an introductory course in child development or developmental psychology and provides a clear and accessible foundation for essays, assignments and other projects.
R 3,237.00
Introduction to the Policy Process
Now in a thoroughly revised Fifth Edition, An Introduction to the Policy Process provides students at all levels with an accessible, readable, and affordable introduction to the field of public policy. In keeping with prior editions, author Tom Birkland conveys the best current thinking on the policy process in a clear, conversational style. Designed to address new developments in both policy theory and policy making, the Fifth Edition includes examinations of: the Brexit referendum result and its effects on the UK, European Union, and world politics, as well as the 2016 election of Donald Trump as President of the United States, and the ways in which these events have caused voters and policy makers to rethink their assumptions; changes to the media environment, including the decline of newspapers and television news, the growth of social media, and the emergence of "fake news"; new policy theory developments like the emergence of the Narrative Policy Framework and continued and newer applications of existing theories of policy process like Advocacy Coalitions, Multiple Streams, Punctuated Equilibrium, and Institutional Analysis and Development; and all-new and updated chapter "at a glance" outlines, definitions of key terms, provocative review questions, recommended reading, visual aids and case studies, theoretical literature, and preentation slides and Test Banks to make teaching from the book easier than ever. Firmly grounded in both social science and political science, An Introduction to the Policy Process provides the most up-to-date and thorough overview of the theory and practice of the policy process, ideal for upper-level undergraduate and introductory graduate courses in Public Policy, Public Administration, and Political Science programs.
R 8,975.00
Introduction to Global Optimization
Global optimization concerns the computation and characterization of global optima of nonlinear functions. Such problems are widespread in the mathematical modelling of real systems in a very wide range of applications and the last 30 years have seen the development of many new theoretical, algorithmic and computational contributions which have helped to solve globally multiextreme problems in important practical applications. Most of the existing books on optimization focus on the problem of computing locally optimal solutions. Introduction to Global Optimization, however, is a comprehensive textbook on constrained global optimization that covers the fundamentals of the subject, presenting much new material, including algorithms, applications and complexity results for quadratic programming, concave minimization, DC and Lipschitz problems, and nonlinear network flow. Each chapter contains illustrative examples and ends with carefully selected exercises, designed to help students grasp the material and enhance their knowledge of the methods involved. Audience: Students of mathematical programming, and all scientists, from whatever discipline, who need global optimization methods in such diverse areas as economic modelling, fixed charges, finance, networks and transportation, databases, chip design, image processing, nuclear and mechanical design, chemical engineering design and control, molecular biology, and environmental engineering.
R 6,007.01
Introduction to F5 Networks LTM iRules
For network professionals everywhere this feature of LTM(t) is probably the most challenging. This book aims to help those faced with writing iRules and getting the best out of them. Anyone with an interest in iRules, particularly those new to them or with no programming knowledge will find this book invaluable. With over 100 rule examples there's plenty of material included to learn from and get you started. The book approaches iRules from the same standpoint as a network engineer and is for those in the networking field with little or no programming knowledge. This is an introductory beginners reference. By the time you've read the entire book you'll certainly understand a lot more about programming and you'll be able to write and understand iRules and fulfil most requirements demanded of you. The second edition more than doubles the amount of content and adds more detail, further examples, command and event references, glob and regular expression guides and more.
R 645.00
Introduction to Stochastic Processes
Emphasizing fundamental mathematical ideas rather than proofs, Introduction to Stochastic Processes, Second Edition provides quick access to important foundations of probability theory applicable to problems in many fields. Assuming that you have a reasonable level of computer literacy, the ability to write simple programs, and the access to software for linear algebra computations, the author approaches the problems and theorems with a focus on stochastic processes evolving with time, rather than a particular emphasis on measure theory.For those lacking in exposure to linear differential and difference equations, the author begins with a brief introduction to these concepts. He proceeds to discuss Markov chains, optimal stopping, martingales, and Brownian motion. The book concludes with a chapter on stochastic integration. The author supplies many basic, general examples and provides exercises at the end of each chapter.New to the Second Edition:Expanded chapter on stochastic integration that introduces modern mathematical finance Introduction of Girsanov transformation and the Feynman-Kac formula Expanded discussion of Itô's formula and the Black-Scholes formula for pricing options New topics such as Doob's maximal inequality and a discussion on self similarity in the chapter on Brownian motionApplicable to the fields of mathematics, statistics, and engineering as well as computer science, economics, business, biological science, psychology, and engineering, this concise introduction is an excellent resource both for students and professionals.
R 5,597.65
Introduction To Numerical Simulation For Trade Theory And Policy
This volume provides a practical guide to building and using simulation models for international trade theory and policy. Through a sequence of carefully constructed and fully documented programs, the volume illustrates how numerical simulation can be used to analyze a wide array of problems. Modern computable general equilibrium (CGE) models for trade policy are challenging in their complexity, but can be thought of as constructions of much simpler building blocks. By developing the building blocks in a consistent manner, and gradually putting them together in more complex and interesting ways, the volume makes CGE accessible to anyone with a background in microeconomics/trade theory. The volume will be useful to graduate students and researchers in international trade looking for a detailed guide to building simulation models and to developing the skill set necessary to enter into the world of CGE modeling.
R 2,596.18
