Numbers and Computers - Kneusel, Ronald T.; - Prospero Internetes Könyváruház

Numbers and Computers
 
A termék adatai:

ISBN13:9783031674815
ISBN10:3031674812
Kötéstípus:Keménykötés
Terjedelem:404 oldal
Méret:235x155 mm
Nyelv:angol
Illusztrációk: 86 Illustrations, black & white; 9 Illustrations, color
700
Témakör:

Numbers and Computers

 
Kiadás sorszáma: Third Edition 2025
Kiadó: Springer
Megjelenés dátuma:
Kötetek száma: 1 pieces, Book
 
Normál ár:

Kiadói listaár:
EUR 69.54
Becsült forint ár:
30 229 Ft (28 789 Ft + 5% áfa)
Miért becsült?
 
Az Ön ára:

24 183 (23 031 Ft + 5% áfa )
Kedvezmény(ek): 20% (kb. 6 046 Ft)
A kedvezmény érvényes eddig: 2024. december 31.
A kedvezmény csak az 'Értesítés a kedvenc témákról' hírlevelünk címzettjeinek rendeléseire érvényes.
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  példányt

 
Rövid leírás:

Computers are, fundamentally, number manipulators.  Therefore, developers, engineers, and scientists must understand how computers represent and operate on numbers. 



The revised and updated third edition of this unique textbook/reference 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.



Dr. Ronald T. Kneusel, a senior data scientist with L3Harris (Melbourne, FL, USA), is also the author of the Springer book, Random Numbers and Computers.

Hosszú leírás:

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.

Tartalomjegyzék:

1. Number Systems.- 2. Integers.- 3. Floating Point.- 4. Pitfalls of Floating-Point Numbers (and How to Avoid Them).- 5. Big Integers and Rational Arithmetic.- 6. Fixed-Point Numbers.- 7. Decimal Floating Point.- 8. Interval Arithmetic.- 9. Arbitrary Precision Floating-Point.- 10. Other Number Systems.