Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.
The first edition became a widely used text in universities worldwide as well as the standard reference for professionals. The second edition featured new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming. The third edition has been revised and updated throughout. It includes two completely new chapters, on van Emde Boas trees and multithreaded algorithms, substantial additions to the chapter on recurrence (now called "Divide-and-Conquer"), and an appendix on matrices. It features improved treatment of dynamic programming and greedy algorithms and a new notion of edge-based flow in the material on flow networks. Many new exercises and problems have been added for this edition. As of the third edition, this textbook is published exclusively by the MIT Press.
If a network is not secure, how valuable is it? Introduction to Computer Networks and Cybersecurity takes an integrated approach to networking and cybersecurity, highlighting the interconnections so that you quickly understand the complex design issues in modern networks. This full-color book uses a wealth of examples and illustrations to effectively connect the principles of networks and networking protocols with the relevant cybersecurity issues.
Get the Fundamentals of Internet Architecture and the Protocol Layers
Organized into six parts, the book walks you through the fundamentals, starting with the way most people first encounter computer networksâthrough the Internet architecture. Part 1 covers the most important Internet applications and the methods used to develop them. Part 2 discusses the network edge, consisting of hosts, access networks, LANs, and the physical media used with the physical and link layers. Part 3 explores the network core, including packet/circuit switches, routers, and the Internet backbone, and Part 4 examines reliable transport and the management of network congestion.
Learn about Malware and Security Systems
Building on the concepts and principles, the book then delves into state-of-the-art cybersecurity mechanisms in Part 5. It reviews the types of malware and the various security systems, made up of firewalls, intrusion detection systems, and other components. Crucially, it provides a seamless view of an information infrastructure in which security capabilities are built in rather than treated as an add-on feature. The book closes with a look at emerging technologies, including virtualization and data center and cloud computing unified communication.
Understand Cyber Attacksâand What You Can Do to Defend against Them
This comprehensive text supplies a carefully designed introduction to both the fundamentals of networks and the latest advances in Internet security. Addressing cybersecurity from an Internet perspective, it prepares you to better understand the motivation and methods of cyber attacks and what you can do to protect the networks and the applications that run on them.
The bookâs modular design offers exceptional flexibility, whether you want to use it for quick reference, self-study, or a wide variety of one- or two-semester courses in computer networks, cybersecurity, or a hybrid of both. Learning goals in each chapter show you what you can expect to learn, and end-of-chapter problems and questions test your understanding. Throughout, the book uses real-world examples and extensive illustrations and screen captures to explain complicated concepts simply and clearly. Ancillary materials, including PowerPointÂ® animations, are available to instructors with qualifying course adoption.
This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation to model and interpret data. The book is based on an MIT course (which became the most popular course offered through MIT's OpenCourseWare) and was developed for use not only in a conventional classroom but in in a massive open online course (MOOC). This new edition has been updated for Python 3, reorganized to make it easier to use for courses that cover only a subset of the material, and offers additional material including five new chapters.
Students are introduced to Python and the basics of programming in the context of such computational concepts and techniques as exhaustive enumeration, bisection search, and efficient approximation algorithms. Although it covers such traditional topics as computational complexity and simple algorithms, the book focuses on a wide range of topics not found in most introductory texts, including information visualization, simulations to model randomness, computational techniques to understand data, and statistical techniques that inform (and misinform) as well as two related but relatively advanced topics: optimization problems and dynamic programming. This edition offers expanded material on statistics and machine learning and new chapters on Frequentist and Bayesian statistics.
This book is for anyone who wants to understand computer programming. You'll learn to program in a language that' s used in millions of smartphones, tablets, and PCs. You'll code along with the book, writing programs to solve real-world problems as you learn the fundamentals of programming using Python 3. You'll learn about design, algorithms, testing, and debugging, and come away with all the tools you need to produce quality code. In this second edition, we've updated almost all the material, incorporating the lessons we've learned over the past five years of teaching Python to people new to programming.You don't need any programming experience to get started. First, you'll get a detailed introduction to Python and to programming. You'll find out exactly what happens when your programs are executed. Through real-world examples, you'll learn how to work with numbers, text, big data sets, and files. Then you'll see how to create and use your own data types.The incremental examples show you the steps and missteps that happen while developing programs, so you know what to expect when you tackle a problem on your own. Inspired by "How to Design Programs" (HtDP), you'll learn a six-step recipe for designing functions, which helps you as you start to learn the concepts--and becomes an integral part of writing programs by the end.As you learn to use the fundamental programming tools in the first half of the book, you'll see how to document and organize your code so that you and other programmers can more easily read and understand it. Beyond the basics, you'll learn how to ensure that your programs are reliable, and how to work with databases, download data from the web automatically, and build user interfaces. Most importantly, you'll learn how to think like a professional programmer.You'll need to download Python 3, available from "python.org". With that download comes IDLE, the editor we use for writing and running Python programs. (If you use Linux, you may need to installPython 3 and IDLE separately.)
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