Compression Algorithms for Real Programmers Describes the basic algorithms and approaches for compressing information so you can create the smallest files possible. This title examines the classic algorithms like Huffman coding, arithmetic compression, and dictionary-based schemes. It also discusses the philosophy of compression to illustrate the underlying trade-offs in the algorithms. Full description
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Peter Wayner is a writer living in Baltimore and is the author of Digital Cash and Agents at Large (both Academic Press). His writings appear in numerous academic journals as well as the pages of more popular forums such as MacWorld and the New York Times. He has taught various computer science courses at Cornell University and Georgetown University.
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