Daryl's TCP/IP Primer
This document is designed to give the reader a reasonable working knowledge of TCP/IP subnetting, addressing, and routing.
Introduction to Design Analysis of Algorithms
This book was very useful to easily understand the algorithms. This book is having enough examples on every algorithm. It has written for the sake of students to provide complete knowledge on Algorithms.
Algorithms and Data Structures: The Basic Toolbox
Algorithms are at the heart of every nontrivial computer application, and algorithmics is a modern and active area of computer science. Every computer scientist and every professional programmer should know about the basic algorithmic toolbox: structures that allow efficient organization and retrieval of data, frequently used algorithms, and basic techniques for modeling, understanding and solving algorithmic problems.
Operating Systems: Three Easy Pieces
Operating Systems: Three Easy Pieces covers the fundamentals of operating systems, including virtualization of the CPU and memory, threads and concurrency, and file and storage systems.
Quantum Mechanical Tunneling in Chemical Physics
Quantum mechanical tunneling plays important roles in a wide range of natural sciences, from nuclear and solid-state physics to proton transfer and chemical reactions in chemistry and biology. Responding to the need for further understanding of multidimensional tunneling, the authors have recently developed practical methods that can be applied to multidimensional systems. Quantum Mechanical Tunneling in Chemical Physics presents basic theories, as well as original ones developed by the authors. It also provides methodologies and numerical applications to real molecular systems.
Concepts, Techniques, and Models of Computer Programming
This innovative book presents computer programming as a unified discipline in a way that is both practical and scientifically sound. The book focuses on techniques of lasting value and explains them precisely in terms of a simple abstract machine. The book presents all major programming paradigms in a uniform framework that shows their deep relationships and how and where to use them together.
Elementary Linear Algebra
Ideal as a reference or quick review of the fundamentals of linear algebra, this book offers a matrix-oriented approach-with more emphasis on Euclidean n-space, problem solving, and applications, and less emphasis on abstract vector spaces. It features a variety of applications, boxed statements of important results, and a large number of numbered and unnumbered examples. Matrices, Vectors, and Systems of Linear Equations. Matrices and Linear Transformations. Determinants. Subspaces and Their Properties. Eigenvalues, Eigenvectors, and Diagonalization. Orthogonality. Vector Spaces. Complex Numbers. A professional reference for computer scientists, statisticians, and some engineers.
Information Systems for Business and Beyond
Topics included: What Is an Information System? • Hardware • Software • Data and Databases • Networking and Communication • Information Systems Security • Does IT Matter? • Business Processes • The People in Information Systems • Information Systems Development • Globalization and the Digital Divide • The Ethical and Legal Implications of Information Systems • Future Trends in Information Systems.
A Foundation in Digital Communication
This intuitive yet rigorous introduction derives the core results of digital communication from first principles. Theory, rather than industry standards, motivates the engineering approaches, and key results are stated with all the required assumptions. The book emphasizes the geometric view, opening with the inner product, the matched filter for its computation, Parseval’s theorem, the sampling theorem as an orthonormal expansion, the isometry between passband signals and their baseband representation, and the spectral-efficiency optimality of quadrature amplitude modulation (QAM).
Enterprise Cloud Strategy
Topics included: The cloud, efficiency, and innovation • Journey to the cloud: the roadmap • Experimentation • Migrating IT to the cloud • Transformation • Cloud architectural blueprints • Sample technology scenarios.
THE OUTLINE OF SCIENCE
Was it not the great philosopher and mathematician Leibnitz who said that the more knowledge advances the more it becomes possible to condense it into little books? Now this "Outline of Science" is certainly not a little book, and yet it illustrates part of the meaning of Leibnitz's wise saying. For here within reasonable compass there is a library of little books—an outline of many sciences.
It will be profitable to the student in proportion to the discrimination with which it is used. For it is not in the least meant to be of the nature of an Encyclopædia, giving condensed and comprehensive articles with a big full stop at the end of each. Nor is it a collection of "primers," beginning at the very beginning of each subject and working methodically onwards. That is not the idea.
Cyber Security Policy Guidebook
Drawing upon a wealth of experience from academia, industry, and government service, Cyber Security Policy Guidebook details and dissects, in simple language, current organizational cyber security policy issues on a global scale - taking great care to educate readers on the history and current approaches to the security of cyberspace. It includes thorough descriptions - as well as the pros and cons - of a plethora of issues, and documents policy alternatives for the sake of clarity with respect to policy alone. The Guidebook also delves into organizational implementation issues, and equips readers with descriptions of the positive and negative impact of specific policy choices.
Programming Computer Vision with Python
The idea behind this book is to give an easily accessible entry point to hands-on computer vision with enough understanding of the underlying theory and algorithms to be a foundation for students, researchers and enthusiasts. The Python programming language, the language choice of this book, comes with many freely available powerful modules for handling images, mathematical computing and data mining.
Advanced Android 4 Games
Since their release, Android has progressed with the debut of Android4.0, adding better fonts, new User Interface and Experience (UI/UX) APIs, tablet considerations, multi-touch capabilities, multi-tasking, faster performance, and much more to the Android game app development repertoire.
Multi-touch code gives these games and their players dynamic input and exchange ability, for a more realistic arcade game experience. Faster and better performance offers game players a more seamless, fun arcade experience like never before on Android. There is also improved native C/C++ integration with Android's NDK as well, which makes coding, compiling, and converting both productive and efficient with gains in app performance.
Dreamweaver CS5.5: The Missing Manual
Dreamweaver is the tool most widely used for designing and managing professional-looking websites, but it's a complex program. That's where Dreamweaver CS5.5: The Missing Manual comes in. With its jargon-free explanations, 13 hands-on tutorials, and savvy advice from Dreamweaver expert Dave McFarland, you'll master this versatile program with ease.
A Balanced Introduction to Computer Science
There are three main goals to this text and its accompanying resources. First, it serves to expose the student to the breadth that is the field of computer science. Computer science is more than just the study of computers – it focuses on all facets of computation, from the design and analysis of algorithms (step-by-step sequences of instructions for carrying out tasks), to the engineering and manufacture of computer components, to the development of software systems. Through readings and the use of online resources, the student will study topics such as the history of computer technology, the underlying architecture of modern computers, the translation and execution sequence of programs, and the capabilities and limitations of computation, all the topics covered in every respectable computer science degree programs. Using software simulators, the student will build virtual components of a computer and watch the flow of information as a program is translated and executed on the low-level machinery. Through this combination of reading and experimentation, hopefully these concepts will come alive for the student and provide a sense of what computer science is all about.
Handbook of Applied Cryptography
The goal of this book was to assimilate the existing cryptographic knowledge of industrial interest into one consistent, self-contained volume accessible to engineers in practice, to computer scientists and mathematicians in academia, and to motivated non-specialists with a strong desire to learn cryptography. Such a task is beyond the scope of each of the following: research papers, which by nature focus on narrow topics using very specialized (and often non-standard) terminology; survey papers, which typically address, at most, a small number of major topics at a high level; and (regretably also) most books, due to the fact that many book authors lack either practical experience or familiarity with the research literature or both.
Computer Desktop Encyclopedia
This desktop encyclopedia contains more than 10,000 terms, which are explained accurately and lucidly. There 800 illustrations that are used to show devices and clarify concepts. The expansive, "encyclopedic" format of the book makes it possible to explain concepts and historical background at whatever length is necessary, as opposed to abbreviated and dictionary definitions. Buzzwords and acronyms are explained and phonetically pronounced, while information on the latest topics and trends in the Internet, graphics, media, and devices is also uncluded.
How to be a Programmer: A Short, Comprehensive, and Personal Summary
Emphasizes are put on the ethic of working as a programmer and as a member of the team. The requirement analysis may blurry, the individual team member skill may not be equal, and deadlines may be impossible, but that's all of it. We can't really complain because all of those must be accepted as the natural of professional programming. Inside this essay you'll find tips on how to learn communication language among your peers, how to talk to non-engineers, and how to deal with difficult people. As programmers are also human with their personal lives and personal problems, this essay also show us how to take a break when needed, and how to recognize when to go home, and how to communicate and negotiate with your boss, so that you won't end up working heroically for 50 to 60 hours a week.
Physics for Everyone
Physics is beyond equations, it is in experience. With this thought in mind, this book comes up with an amazing explanation of vivid physical phenomena including heat, light, motion, gravity, energy, atoms and the universe as a whole. This book considers physics from the very small to the very large. All chapters start with a brief introduction, and illustrative examples and diagrams comfort you throughout the book. Not only that, your understanding of nature is complemented by numerous conceptual questions, revision activities and interesting experiments ! So get ready to understand nature because if you know the rules, you can enjoy physics too !
Inside, you’ll find everything from how to harden Linux and Windows systems to how to investigate breaches with Sleuth Kit, Autopsy Forensic Browser, and Forensic Tool Kit. For each security task described, the author reviews the best open source tools and how to use them and also provides a case study and sample implementation.
Computer networking technologies are the glue that binds these elements together.
Networking allows one computer to send information to and receive information from another. We
can classify network technologies as belonging to one of two basic groups. Local area network
(LAN) technologies connect many devices that are relatively close to each other, usually in the
same building. The library terminals that display book information would connect over a local area
network. Wide area network (WAN) technologies connect a smaller number of devices that can
be many kilometers apart.
Contents: 1. Fundamentals: Chapters 1 through 4 focus on the fundamental aspects of data and data analysis: introduction to data mining ( chapter 1), measurement (chapter 2), summarizing and visualizing data (chapter 3), and uncertainty and inference ( chapter 4). 2. Data Mining Components: Chapters 5 through 8 focus on what we term the "components" of data mining algorithms: these are the building blocks that can be used to systematically create and analyze data mining algorithms. In chapter 5 we discuss this systematic approach to algorithm analysis, and argue that this " component wise" view can provide a useful systematic perspective on what is often a very confusing landscape of data analysis algorithms to the novice student of the topic. In this context, we then delve into broad discussions of each component: model repr esentations in chapter 6, score functions for fitting the models to data in chapter 7, and optimization and search techniques in chapter 8. (Discussion of data management is deferred until chapter 12 .) 3. Data Mining Tasks and Algorithms: Having discussed the fundamental components in the first 8 chapters of the text, the remainder of the chapters (from 9 through 14) are then devoted to specific data mining tasks and the algorithms used to address them. We organize the basic tasks into density estimation and clustering ( chapter 9), classification (chapter 10), regression (chapter 11), pattern discovery (chapter 13), and retrieval by content (chapter 14). In each of these chap ters we use the framework of the earlier chapters to provide a general context for the discussion of specific algorithms for each task. For example, for classification we ask: what models and representations are plausible and useful? what score functions s hould we, or can we, use to train a classifier? what optimization and search techniques are necessary? what is the computational complexity of each approach once we implement it as an actual algorithm? Our hope is that this general approach will provide thereader with a "roadmap" to an understanding that data mining algorithms are based on some very general and systematic principles, rather than simply aing blocks that can be used to systematically create and analyze data mining algorithms. In chapter 5 we discuss this systematic approach to algorithm analysis, and argue that this " component - wise" view can provide a useful systematic perspective on what is often a very confusing landscape of data analysis algorithms to the novice student of the topic. In this context, we then delve into broad discussions of each component: model repr esentations in chapter 6, score functions for fitting the models to data in chapter 7, and optimization and search techniques in chapter 8. cornucopia of seemingly unrelated and exotic algorithm.
In such scientific research, we are at a stage of development that is analogous to when the printing press was invented.Printing took a thousand years to develop and evolve into the many
forms it takes today. Using computers to gain understanding from data created and
stored in our electronic data stores will likely take decades—or less. The contributing authors in this volume have done an extraordinary job of helping to refine an understanding of this new paradigm from a variety of disciplinary perspectives.
Neuroscience: the Science of the Brain
Inside our heads, weighing about 1.5 kg, is an astonishing living organ consisting of
billions of tiny cells. It enables us to sense the world around us, to think and to talk.
The human brain is the most complex organ of the body, and arguably the most complex thing on earth. This booklet is an introduction for young students.
The following material is addressed to readers who are already familiar with applied mathematics
at the advanced undergraduate level or preferably higher; and with some eld, such as physics,
chemistry, biology, geology, medicine, economics, sociology, engineering, operations research, etc.,
where inference is needed.
A previous acquaintance with probability and statistics is not necessary;
indeed, a certain amount of innocence in this area may be desirable, because there will be less to
Science is often hard to read. Most people assume that its difficulties are born out of necessity, out of the extreme complexity of scientific concepts, data and analysis. We argue here that complexity of thought need not lead to impenetrability of expression; we demonstrate a number of rhetorical principles that can produce clarity in communication without oversimplifying scientific issues. The results are substantive, not merely cosmetic: Improving the quality of writing actually improves the quality of thought.
It is not easy today to capture the relationship between science and society. The days when modern science enjoyed a special status in Western societies are behind us. There was a time where a ‘social contract’ successfully ring-fenced the autonomy of the scientific enterprise against
any social scrutiny, on the promise of scientific research being beneficial for the public good in the long run. Over the last decades this social contract has often been revisited,
particularly as all public expenditure has been fiercely scrutinised.
The following material is addressed to readers who are already familiar with applied mathematics at the advanced undergraduate level or preferably higher; such as physics, chemistry, biology, geology, medicine,economics, sociology, engineering, operations research, etc.,where inference is needed.
A previous acquaintance with probability and statistics is not necessary; indeed, a certain amount of innocence in this area may be desirable, because there will be less to unlearn.
Inside our heads, weighing about 1.5 kg, is an astonishing living organ consisting of billions of tiny cells. It enables us to sense the world around us, to think and to talk.The human brain is the most complex organ of the body, and arguably the mostcomplex thing on earth. This booklet is an introduction for young students.
Science is a methodical approach to studying the natural
world. Science asks basic questions, such as how does the world work? How did the world come to be? What was the world like in the past, what is it like now, and what will it be like in the future? These questions are answered using observation, testing, and interpretation through logic.
Neglect hitherto of the availability of astronomy for a laboratory course has mainly led to the preparation of this New Astronomy. Written purelywith a pedagogic purpose, insistence upon rightness of principles, no matterhow simple, has everywhere been preferred to display of precision in result. To instance a single example: although the pupil's equipment be but a
yardstick, a pinhole, and the `rule of three,' will he not reap greater benet
from measuring the sun for himself (page230) than from learning mere
detail of methods employed by astronomers in accurately measuring that
A First Course in General Relativity Second Edition
Clarity, readability, and rigor combine in the second edition of this widely used textbook
to provide the first step into general relativity for undergraduate students with a minimal
background in mathematics
Protons, electrons, neutrons, neutrinos and even quarks are often featured in
news of scientific discoveries. All of these, and a whole "zoo" of others, are tiny
sub-atomic particles too small to be seen even in microscopes. While molecules and atoms are the basic elements of familiar substances that we can see and feel, we have to "look"
within atoms in order to learn about the "elementary" sub-atomic particles and to understand the nature of our Universe. The science of this study is called Particle Physics, Elementary Particle Physics or sometimes High Energy Physics (HEP)
This is a two-semester course in n-dimensional calculus with a review of the necessary linear algebra. It covers the derivative, the integral, and a variety of applications. An emphasis is made on the coordinate free, vector analysis.
Introductory Physics 1
This introductory mechanics text is intended to be used in the first semester of a two-semester
series of courses teaching introductory physics at the college level, followed by a second semester
course in introductory electricity and magnetism, and optics. The text is intended to support
teaching the material at a rapid, but advanced level – it was developed to support teaching
introductory calculus-based physics to potential physics majors, engineers, and other natural science
majors at Duke University over a period of more than thirty years.
Introductory Physics 2