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Название: Numbers and Computers, 3rd Edition
Автор: Ronald T. Kneusel
Издательство: Springer
Серия: Texts in Computer Science
Год: 2025
Страниц: 409
Язык: английский
Формат: pdf (true), epub
Размер: 36.1 MB
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. Additionally, the existing text has been revised and edited and software updated as necessary to move from Python 2.7 to Python 3. 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.
Автор: Ronald T. Kneusel
Издательство: Springer
Серия: Texts in Computer Science
Год: 2025
Страниц: 409
Язык: английский
Формат: pdf (true), epub
Размер: 36.1 MB
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. Additionally, the existing text has been revised and edited and software updated as necessary to move from Python 2.7 to Python 3. 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.