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  • Language: English
  • Binding: Paperback
  • Publisher: Springer Nature Switzerland AG
  • Genre: Philosophy
  • ISBN: 9783030865511
  • Pages: 113
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The Lowest price of New Foundations for Information Theory in Online , India is ₹ 3000. The latest price for New Foundations for Information Theory was updated on 26 September 2026, the cost price of New Foundations for Information Theory was ₹ 4000 which is now available at 25% discount on Flipkart. The multiple payment options available to buy New Foundations for Information Theory in Online are Credit Card, Debit Card, Netbanking and Wallet Payment. The payment of New Foundations for Information Theory on Cash on Delivery (COD) is available in Online . On shopping from Flipkart you will save ₹ 1000 as this is the discounted rate. We also found that cheapest price for New Foundations for Information Theory in Online was available online on Flipkart. Springer Nature Switzerland AG products at 25% discount is a great deal to buy online.
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New Foundations for Information Theory Features & Specifications stand apart in the PBCD : Mathematical logic category. The details about New Foundations for Information Theory(English, Paperback, Ellerman David) are given below as well. Unboxing New Foundations for Information Theory specs Language: English, Binding: Paperback, Publisher: Springer Nature Switzerland AG, Genre: Philosophy, ISBN: 9783030865511, Pages: 113, & more details are given below

This monograph offers a new foundation for information theory that is based on the notion of information-as-distinctions, being directly measured by logical entropy, and on the re-quantification as Shannon entropy, which is the fundamental concept for the theory of coding and communications. Information is based on distinctions, differences, distinguishability, and diversity. Information sets are defined that express the distinctions made by a partition, e.g., the inverse-image of a random variable so they represent the pre-probability notion of information. Then logical entropy is a probability measure on the information sets, the probability that on two independent trials, a distinction or "dit" of the partition will be obtained. The formula for logical entropy is a new derivation of an old formula that goes back to the early twentieth century and has been re-derived many times in different contexts. As a probability measure, all the compound notions of joint, conditional, and mutual logical entropy are immediate. The Shannon entropy (which is not defined as a measure in the sense of measure theory) and its compound notions are then derived from a non-linear dit-to-bit transform that re-quantifies the distinctions of a random variable in terms of bits-so the Shannon entropy is the average number of binary distinctions or bits necessary to make all the distinctions of the random variable. And, using a linearization method, all the set concepts in this logical information theory naturally extend to vector spaces in general-and to Hilbert spaces in particular-for quantum logical information theory which provides the natural measure of the distinctions made in quantum measurement. Relatively short but dense in content, this work can be a reference to researchers and graduate students doing investigations in information theory, maximum entropy methods in physics, engineering, and statistics, and to all those with a special interest in a new approach to quantum information theory.

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New Foundations for Information Theory Specs

Book Details

Title New Foundations for Information Theory
Imprint Springer Nature Switzerland AG
Product Form Paperback
Publisher Springer Nature Switzerland AG
Genre Philosophy
ISBN13 9783030865511
Book Category Reference Books
BISAC Subject Heading PHI011000
Book Subcategory Reference Books
Language English

Dimensions

Height 235 mm
Length 155 mm
Weight 209 gr

Books Info

Language English
Binding Paperback
Pages 113
Publisher Springer Nature Switzerland AG
Year 0
Author Ellerman David 

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