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Numbers and Computers
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Numbers and Computers

Third Edition 2025

Book Details

Format Hardback or Cased Book
ISBN-10 3031674812
ISBN-13 9783031674815
Edition Third Edition 2025
Publisher Springer International Publishing AG
Imprint Springer International Publishing AG
Country of Manufacture GB
Country of Publication GB
Publication Date Dec 4th, 2024
Print length 404 Pages
Weight 904 grams
Dimensions 16.20 x 24.20 x 2.60 cms
Ksh 9,900.00
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This textbook details the variety of number formats used by computers, thereby helping to ground readers in what can and cannot be represented accurately, especially by floating-point numbers. The book's first part details standard representations of integers and floating-point numbers.  The second explores other number representations, including the wide variety recently developed to support artificial intelligence (AI) and its demand for efficiency in representation to accommodate the ever-expanding scope of neural network models.  Chapters describe each format, with examples in code (Python and C) and exercises.  This new edition includes three new chapters on posits, AI number formats, and a collaborative experiment with an AI to generate novel number formats. Topics and features:Explores how computers use numbers to complete operationsAdds new chapters on posits and AI number formatsIncludes exercises and examples that are code snippets in C or PythonImplements and tests new AI-designed number formats (as designed by GPT-4)Provides thorough grounding on what can and cannot be represented accuratelyA textbook eminently suitable for undergraduates in computer science, the work also will appeal to software developers, engineers, scientists, AI experts, and anyone who programs for fun.

This textbook details the variety of number formats used by computers, thereby helping to ground readers in what can and cannot be represented accurately, especially by floating-point numbers.

The book''s first part details standard representations of integers and floating-point numbers.  The second explores other number representations, including the wide variety recently developed to support artificial intelligence (AI) and its demand for efficiency in representation to accommodate the ever-expanding scope of neural network models.  Chapters describe each format, with examples in code (Python and C) and exercises.  This new edition includes three new chapters on posits, AI number formats, and a collaborative experiment with an AI to generate novel number formats.

Topics and features:

  • Explores how computers use numbers to complete operations
  • Adds new chapters on posits and AI number formats
  • Includes exercises and examples that are code snippets in C or Python
  • Implements and tests new AI-designed number formats (as designed by GPT-4)
  • Provides thorough grounding on what can and cannot be represented accurately

A textbook eminently suitable for undergraduates in computer science, the work also will appeal to software developers, engineers, scientists, AI experts, and anyone who programs for fun.


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