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Mathematics for future computing and communications / edited by Liao Heng, Bill McColl.

Contributor(s): Material type: TextTextPublisher: Cambridge : Cambridge University Press, 2022Description: 1 online resource (x, 387 pages) : digital, PDF file(s)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781009070218 (ebook)
Subject(s): Additional physical formats: Print version: : No titleDDC classification:
  • 004.0151 23
LOC classification:
  • QA76.9.M35 M38 2022
Online resources: Summary: For 80 years, mathematics has driven fundamental innovation in computing and communications. This timely book provides a panorama of some recent ideas in mathematics and how they will drive continued innovation in computing, communications and AI in the coming years. It provides a unique insight into how the new techniques that are being developed can be used to provide theoretical foundations for technological progress, just as mathematics was used in earlier times by Turing, von Neumann, Shannon and others. Edited by leading researchers in the field, chapters cover the application of new mathematics in computer architecture, software verification, quantum computing, compressed sensing, networking, Bayesian inference, machine learning, reinforcement learning and many other areas.
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eBooks eBooks Central Library Computer Science Available EB0725

Title from publisher's bibliographic system (viewed on 03 Dec 2021).

For 80 years, mathematics has driven fundamental innovation in computing and communications. This timely book provides a panorama of some recent ideas in mathematics and how they will drive continued innovation in computing, communications and AI in the coming years. It provides a unique insight into how the new techniques that are being developed can be used to provide theoretical foundations for technological progress, just as mathematics was used in earlier times by Turing, von Neumann, Shannon and others. Edited by leading researchers in the field, chapters cover the application of new mathematics in computer architecture, software verification, quantum computing, compressed sensing, networking, Bayesian inference, machine learning, reinforcement learning and many other areas.

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