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- Chitrang Pandit, Jianyi Huang, Sean P. Meyn, V. M. B. Veeravalli
- Information Theory Workshop
- 2004

Many problems in information theory can be distilled to an optimization problem over a space of probability distributions. The most important examples are in communication theory, where it is necessary to maximize mutual information in order to compute channel capacity, and the classical hypothesis testing problem in which an optimal test is based on the… (More)

- Jianyi Huang, Chitrang Pandit, +5 authors V. M. B. Veeravalli
- 2005

This article surveys application of convex optimization theory to topics in Information Theory. Topics include optimal robust algorithms for hypothesis testing; a fresh look at the relationships between channel coding and robust hypothesis testing; and the structure of optimal input distributions in channel coding. A key finding is that the optimal… (More)

An algorithm for measurement-based admission control is introduced based on recent results concerning extremal distributions for i.i.d. sources. A large deviations analysis of this algorithm shows that it is asymptotically optimal in the class of all moment-consistent algorithms.

Comparison of programming languages is a common topic of discussion among software engineers. Multiple programming languages are designed, specified, and implemented every year in order to keep up with the changing programming paradigms, hardware evolution, etc. In this paper we present a comparative study between six programming languages: C++, PHP, C#,… (More)

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