Computer Science ~ Contents - McGraw-Hill Books
Computer Science ~ Contents - McGraw-Hill Books
Computer Science ~ Contents - McGraw-Hill Books
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<strong>Computer</strong> <strong>Science</strong>TCP/IPNeural NetworksInternational EditionTCP/IP PROTOCOL SUITEThird Editionby Behrouz A. Forouzan, De Anza College2006 / Hard cov er / 992 pagesISBN-13: 978-0-07-296772-2 / MHID: 0-07-296772-2ISBN-13: 978-0-07-111583-4 / MHID: 0-07-111583-8 [IE]This website contains: four-color PowerPoint slides and solutions-oddsfor students and a com plete password protected set for instructors.(Browse http://www.mhhe.com/forouzan)Networking technologies have become an integral part ofeveryday life, which has led to a dramatic increase in the numberof professions where it is important to understand networktechnologies. TCP/IP Protocol Suite teaches students andprofessionals, with no prior knowledge of TCP/IP, everythingthey need to know about the subject. This com pre hen sivebook uses hundreds of figures to make technical concepts easyto grasp, as well as many examples, which help tie the materialto the real-world. The second edition of TCP/IP Protocol Suitehas been fully updated to include all of the recent technologychanges in the field. Many new chapters have been addedsuch as one on Mobile IP, Multimedia and Internet, NetworkSecurity, and IP over ATM. Additionally, out-of-date materialhas been overhauled to reflect recent changes in technology.NEW TO THIS EDITION• Six new chapters are included in the second edition:• Chapter 14 Multicasting Routing Protocols• Chapter 26 IP over ATM• Chapter 27 Mobile IP• Chapter 28 Real Time Traffic over the Internet• Chapter 29 Internet Security• Chapter 30 Private NetworksFEATURES• Extensive Practice Sets in each chapter include multiple choiceques tions and exercises, giving students and professors ampleop por tu ni ty to check un der stand ing of concepts.• Summary sections at the end of chapters list major conceptslearned in the chapter.• Hundreds of excellent figures, now enhanced with a second color,present technical con cepts in a visual and intuitive manner.CONTENTS1 Introduction. 2 The OSI Model and the TCP/IP Protocol Suite. 3 UnderlyingTech nol o gies. 4 IP Addresses: Classful Addressing. 5 Subnetting/Supernetting andClassless Addressing. 6 Delivery and Routing of IP Packets. 7 ARP and RARP. 8Internet Protocol (IP). 9 Internet Control Mes sage Protocol (ICMP). 10 InternetGroup Management Protocol (IGMP). 11 User Datagram Protocol (UDP). 12Transmission Control Protocol (TCP). 13 Unicast Routing Protocols (RIP, OSPF,and BGP). 14 Multicasting Routing Protocols. 15 Application Layer and Client-Server Model. 16 Socket Interface. 17 BOOTP and DHCP. 18 Domain NameSystem (DNS). 19 TELNET and Rlogin. 20 File Transfer Protocol (FTP). 21 TrivialFile Transfer Pro to col (TFTP). 22 Simple Mail Transfer Pro to col (SMTP). 23 SimpleNetwork Man age ment Protocol (SNMP). 24 Hypertext Transfer Protocol (HTTP).25 World Wide Web. 26 IP over ATM. 27 Mobile IP. 28 Real-Time Traffic overthe Internet. 29 Internet Security. 30 Private Networks. 31 Next Generation:IPv6 and ICMPv6 Appendix A ASCII Code Appendix B Numbering Sys tems andTrans for ma tion Appendix C Checksum Cal cu la tion Ap pen dix D Error De tec tionAppendix E Encryption Methods Ap pen dix F Project 802 Appendix G ContactAddresses Appendix H RFCs Appendix I UDP and TCP Ports Glossary ReferencesIndexInternational EditionNEURAL NETWORKS: A CLASSROOM APPROACHby Satish Kumar, Dayalbagh Educational Institute, India2004 / 768 pages / SoftcoverISBN-13: 978-0-07-048292-0 / MHID: 0-07-048292-6ISBN-13: 978-0-07-124672-9 / MHID: 0-07-124672-X [IE](Tata <strong>McGraw</strong>-<strong>Hill</strong> Title)http://highered.mcgraw-hill.com/sites/0070482926Neural Networks is an integral component of the ubiquitous softcomputing paradigm. An in-depth understanding of this fieldrequires some background of the principles of neu ro science,mathematics and computer programming. Neural Networks: AClassroom Ap proach, achieves a balanced blend of these areasto weave an appropriate fabric for the exposition of the diversityof neural network models. This book is unique, in the sensethat it stresses on an intuitive and geometric understanding ofthe subject and on the heuristic explanation of the theoreticalresults. This book is intended for a first course on NeuralNetworks and can also serve as a supporting text for courseson soft computing, artificial intelligence, machine learningand neuron modeling. Key Features : Unique and dis tinc tivechapters on neuroscience, statistical pattern recognition,support vector machines, pulsed neural networks, fuzzysystems, soft computing, and dynamical systems; Stresses onheuristic explanations of theoretical results.CONTENTSI. Traces of History and A Neuroscience Briefer: 1 Brain Style Com put ing: Or i ginsand Issues. 2 Lessons from Neu ro science. II. Feedforward Neu ral Networks andSu per vised Learning: 3 Artificial Neu rons, Neural Networks and Architectures.4 Ge om e try of Binary Threshold Neurons and Their Networks. 5 SupervisedLearn ing I: Perceptrons and LMS. 6 Supervised Learning. II: Backpropagationand Beyond: 7 Neural Net work: A Sta tis ti cal Pattern Rec og ni tion Perspective. 8Fo cus sing on Gen er al i za tion: Support Vector Machines and Radial Basis FunctionNet works. III. Re cur rent Neurodynamical Sys tems. 9 Dynamical Systems Review.10 Attractor Neural Net works. 11 Adaptive Resonance Theory 12 Towards the SelfOrganizing Feature Map. IV. Contemporary Topics: 13 Pulsed Neuron Models:The New Generation. 14 Fuzzy Sets, Fuzzy Systems and Ap pli ca tions. 15 NeuralNet works and the Soft Com put ing ParadigmInternational EditionGraphicsINTRODUCTION TO COM PUT ER GRAPHICSby N Krishnamurthy, Software Consultant, Singapore2001 / 352 pages / softcoverISBN-13: 978-0-07-043536-0 / MHID: 0-07-043536-7ISBN-13: 978-0-07-120704-1 / MHID: 0-07-120704-X [IE](Tata <strong>McGraw</strong>-<strong>Hill</strong> Title)CONTENTS1 Introduction. 2 Applications. 3 Graph ics Mathematics. 4 Input Hardware.5 Output Hardware. 6 Output Char ac ter is tics. 7 Line Drawing Algorithms. 8Pro gram ming. 9 Business and Sci en tif ic Graph ics. 10 Window and Viewport.11 Clip ping. 12 Modeling Transformations. 13 Transformation Ap pli ca tions. 14Tools and Techniques. 15 3D Input and Processing. 16 3D Realism and Output.17 Con clu sion. Appendices: A: Coordinate Systems. B: Lines and Curves in 2D.C: Matrix Al ge bra. D: Lines and Surfaces in 3D. E : References and Re sourc es. F:Captions and Notes on Colour Plates. Index4815-60_CompSc.indd 4811/15/06 5:05:29 PM