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{ "item_title" : "The Mathematics of Information Coding, Extraction and Distribution", "item_author" : [" George Cybenko", "Dianne P. O'Leary", "Jorma Rissanen "], "item_description" : "High performance computing consumes and generates vast amounts of data, and the storage, retrieval, and transmission of this data are major obstacles to effective use of computing power. Challenges inherent in all of these operations are security, speed, reliability, authentication and reproducibility. This workshop focused on a wide variety of technical results aimed at meeting these challenges. Topics ranging from the mathematics of coding theory to the practicalities of copyright preservation for Internet resources drew spirited discussion and interaction among experts in diverse but related fields. We hope this volume contributes to continuing this dialogue.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/46/127/178/1461271789_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
The Mathematics of Information Coding, Extraction and Distribution|George Cybenko

The Mathematics of Information Coding, Extraction and Distribution

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Overview

High performance computing consumes and generates vast amounts of data, and the storage, retrieval, and transmission of this data are major obstacles to effective use of computing power. Challenges inherent in all of these operations are security, speed, reliability, authentication and reproducibility. This workshop focused on a wide variety of technical results aimed at meeting these challenges. Topics ranging from the mathematics of coding theory to the practicalities of copyright preservation for Internet resources drew spirited discussion and interaction among experts in diverse but related fields. We hope this volume contributes to continuing this dialogue.

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Details

  • ISBN-13: 9781461271789
  • ISBN-10: 1461271789
  • Publisher: Springer
  • Publish Date: October 2012
  • Dimensions: 9.21 x 6.14 x 0.33 inches
  • Shipping Weight: 0.49 pounds
  • Page Count: 137

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