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f you look at a style sheet and think you ll never get the hang of it, remember how you felt when you looked at HTML for the first time. Now you have no fear of it because you understand the rules; you know that even if you see an element you ve never seen before, you can figure it out. CSS isn t any more difficult. It has a clear set of rules that, unlike the set of rules for HTML, fits into one chapter. To help you along, a complete list of all the properties you can use in CSS is in Appendix E. By the time you finish this chapter, you ll know the syntax of CSS, how CSS differs from HTML, and how to define and group CSS properties. You learn some shortcuts so your property definitions won t be quite as verbose as the example in the previous chapter. You also learn about the box-formatting model CSS uses and about inheritance, which is why you don t need to redefine every property for every element. You also learn about defining classes and IDs, which enable you to add variety to different instances of the same element on the same page. Finally, you see the DIV and SPAN elements in action.

[181] M Effros, K Visweswariah, S R Kulkarni, and S Verdu Universal lossless source coding with the Burrows Wheeler transform IEEE Trans Inf Theory, IT-48:1061 1081, May 2002 [182] B Efron and R Tibshirani An Introduction to the Bootstrap Chapman & Hall, London, 1993 [183] H G Eggleston Convexity (Cambridge Tracts in Mathematics and Mathematical Physics, No 47) Cambridge University Press, Cambridge, 1969 [184] A El Gamal The feedback capacity of degraded broadcast channels IEEE Trans Inf Theory, IT-24:379 381, 1978 [185] A El Gamal The capacity region of a class of broadcast channels IEEE Trans Inf Theory, IT-25:166 169, 1979 [186] A El Gamal and T M Cover Multiple user information theory Proc IEEE, 68:1466 1483, 1980 [187] A El Gamal and T M Cover Achievable rates for multiple descriptions IEEE Trans Inf Theory, IT-28:851 857, 1982 [188] A El Gamal and E C Van der Meulen.

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A proof of Marton s coding theorem for the discrete memoryless broadcast channel IEEE Trans Inf Theory, IT-27:120 122, 1981 [189] P Elias Error-free coding IRE Trans Inf Theory, IT-4:29 37, 1954 [190] P Elias Coding for noisy channels IRE Conv Rec, Pt 4, pages 37 46, 1955 [191] P Elias Networks of Gaussian channels with applications to feedback systems IEEE Trans Inf Theory, pages 493 501, July 1967 [192] P Elias The ef cient construction of an unbiased random sequence Ann Math Stat, pages 865 870, 1972 [193] P Elias Universal codeword sets and representations of the integers IEEE Trans Inf Theory, pages 194 203, Mar 1975 [194] P Elias Interval and recency rank source coding: two on-line adaptive variable-length schemes IEEE Trans Inf Theory, pages 3 10, Jan 1987 [195] P Elias, A Feinstein, and C E Shannon.

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A note on the maximum ow through a network IEEE Trans Inf Theory, pages 117 119, December 1956 [196] R S Ellis Entropy, Large Deviations, and Statistical Mechanics SpringerVerlag, New York, 1985 [197] A Ephremides and B Hajek Information theory and communication networks: an unconsummated union IEEE Trans Inf Theory, pages 2416 2434, Oct 1998 [198] W H R Equitz and T M Cover Successive re nement of information IEEE Trans Inf Theory, pages 269 275, Mar 1991 [199] Ky Fan On a theorem of Weyl concerning the eigenvalues of linear transformations II Proc Nat Acad Sci USA, 36:31 35, 1950..

and 1393 (ICMP Traceroute) ICMP running in a router can respond to a host s request to find the subnet address mask for its network A host, upon startup, can request of a router the subnet mask assigned to the network Although not really used anymore (there are better methods for controlling traffic, such as the Slow Start algorithm discussed in a moment) Source quench is the endstation s ability to indicate to the originator of a message that the host cannot accept the rate at which the sender is submitting the packets A source quench packet is continually generated to the originator until the rate of data flow slows down The intended recipient of a source quench will continue to slow down its data rate until it receives no more source quench packets.

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