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Download e-book for kindle: Compression techniques for polymer sciences by Bradely S. Tice

By Bradely S. Tice

ISBN-10: 9380308310

ISBN-13: 9789380308319

ISBN-10: 9380308981

ISBN-13: 9789380308982

The booklet addresses using algorithmic complexity to accomplish compression on polymer strings to lessen the redundant caliber whereas preserving the numerical caliber intact. It presents an outline of the categories of polymers and their makes use of. It additionally describes many of the different types of compression platforms that may be used to compress polymer chains into conceivable devices.

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2015 by Woodhead Publishing India Pvt. Ltd. 26 Compression techniques for polymer sciences The author has done research in the area of natural language and mathematics with a work addressing Kurt Godel’s Continuum Theory use of word problems as proof of inconsistency in David Hilbert’s axiomatic laws of mathematics. The author changed some of the words found in Godel’s original paper that, in turn, changed the semantic nature of the sentences used to proof the axiomatic truths found in Godel’s paper and by so doing changed the valuations used to determine an inconsistency (Tice, 2013).

Chapter 9 Compression of polymers © 2015 by Woodhead Publishing India Pvt. Ltd. © 2015 by Woodhead Publishing India Pvt. Ltd. 9 Compression of polymers The notion of algorithmic complexity as it relates to a series of symbols in a linear pathway as found in the chemical depictions of Fischer projections is the ‘compression’ of linear sequential similar symbols for reduction to a single symbol with a corresponding notation to denote the total number of characters of a similar type that were in the original chemical formula.

36 Compression techniques for polymer sciences The author discovered in 1998 a ‘compressible’ random binary sequential string and stands as the most precise and accurate measure of randomness known in statistical physics (Tice, 2009 and 2012). A compressible random binary sequential string program utilizes a traditional binary random sequential string such as [001110110001110] that is 15 characters in length and sub-groups each like-natured sub-group of either 0’s or 1’s as follows: [00]+[111]+[0]+[11]+[000]+[111]+[0] A notation system is used behind each initial character to give a total number of like-natured characters in each sub-group while removing the remaining like-natured characters from each subgroup as follows: 0 (2) +1 (3) +0+1 (2) 0 (3) +1 (3) +0 The compressed state of the original random 15 character binary sequential string is as follows: 0101010 The compressed state is 7 characters in length from the original pre-compressed state of a 15 character random string.

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Compression techniques for polymer sciences by Bradely S. Tice


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