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[144] I Csisz r Why least squares and maximum entropy An axiomatic approach a to inference for linear inverse problems Ann Stat, pages 2032 2066, Dec 1991 [145] I Csisz r Arbitrarily varying channels with general alphabets and states a IEEE Trans Inf Theory, pages 1725 1742, Nov 1992 [146] I Csisz r The method of types IEEE Trans Inf Theory, pages 2505 2523, a October 1998 [147] I Csisz r, T M Cover, and B S Choi Conditional limit theorems under a Markov conditioning IEEE Trans Inf Theory, IT-33:788 801, 1987 [148] I Csisz r and J K rner Towards a general theory of source networks IEEE a o Trans Inf Theory, IT-26:155 165, 1980 [149] I Csisz r and J K rner Information Theory: Coding Theorems for Discrete a o Memoryless Systems Academic Press, New York, 1981 [150] I Csisz r and J K rner.

Feedback does not affect the reliability function of a o a DMC at rates above capacity (corresp) IEEE Trans Inf Theory, pages 92 93, Jan 1982 [151] I Csisz r and J K rner Broadcast channels with con dential messages a o IEEE Trans Inf Theory, pages 339 348, May 1978 [152] I Csisz r and J K rner Graph decomposition: a new key to coding a o theorems IEEE Trans Inf Theory, pages 5 12, Jan 1981 [153] I Csisz r and G Longo On the Error Exponent for Source Coding and a for Testing Simple Statistical Hypotheses Hungarian Academy of Sciences, Budapest, 1971 [154] I Csisz r and P Narayan Capacity of the Gaussian arbitrarily varying chana nel IEEE Trans Inf Theory, pages 18 26, Jan 1991 [155] I Csisz r and G Tusn dy Information geometry and alternating minimizaa a tion procedures.

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As you ll see when trying some of the examples in this chapter and during your own experimentation, you can t avoid testing and debugging JavaScript. When you load a page with JavaScript, the first thing the browser does is review the script for syntax. Anything it doesn t like, it tells you about right then and there. Then, as you try to execute the script, it finds and reports every error along the way. JavaScript is interpreted, rather than compiled. This means, instead of giving you a single, long listing of errors, it tells you about errors as it finds them one annoying pop-up box at a time. Even after you figure out what all your errors are and fix them to your satisfaction, a good idea is to try clicking fields in an order that doesn t make sense, to be sure things work as they should even when visitors do unexpected things.

Statistics and Decisions, Supplement Issue 1:205 237, 1984 [156] G B Dantzig and D R Fulkerson On the max- ow min-cut theorem of networks In H W Kuhn and A W Tucker (Eds), Linear Inequalities and Related Systems (Vol 38 of Annals of Mathematics Study), pages 215 221 Princeton University Press, Princeton, NJ, 1956 [157] J N Darroch and D Ratcliff Generalized iterative scaling for log-linear models Ann Math Stat, pages 1470 1480, 1972 [158] I Daubechies Ten Lectures on Wavelets SIAM, Philadelphia, 1992 [159] L D Davisson Universal noiseless coding IEEE Trans Inf Theory, IT19:783 795, 1973 [160] L D Davisson Minimax noiseless universal coding for Markov sources IEEE Trans Inf Theory, pages 211 215, Mar 1983 [161] L D Davisson, R J McEliece, M B Pursley, and M S Wallace Ef cient universal noiseless source codes IEEE Trans Inf Theory, pages 269 279, May 1981..

While manual ow net construction remains a useful hydrogeological skill, physical analog models are now obsolete (save for some (largely untapped) value as teaching aids). With the exception of some simple procedures which are amenable to the use of hand-held calculators (Box 10.2) and graphical methods, the solution of physically based mathematical models nowadays is almost invariably carried out by computer. There are two basic alternatives for solving physically based mathematical models: analytical solutions and numerical solutions. These two approaches should be seen as complementary rather than competing, for the following three reasons:

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