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{ "item_title" : "Mathematics for Future Computing and Communications", "item_author" : [" Liao Heng", "Bill McColl "], "item_description" : "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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/31/651/358/1316513580_b.jpg", "price_data" : { "retail_price" : "76.00", "online_price" : "76.00", "our_price" : "76.00", "club_price" : "76.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Mathematics for Future Computing and Communications|Liao Heng

Mathematics for Future Computing and Communications

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Overview

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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Details

  • ISBN-13: 9781316513583
  • ISBN-10: 1316513580
  • Publisher: Cambridge University Press
  • Publish Date: December 2021
  • Dimensions: 9.9 x 6.9 x 0.9 inches
  • Shipping Weight: 1.9 pounds
  • Page Count: 396

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