Numbers and Computers [electronic resource] / by Ronald T. Kneusel.

За: Інтелектуальна відповідальність: Вид матеріалу: Текст Публікація: Cham : Springer International Publishing : Imprint: Springer, 2017Видання: 2nd ed. 2017Опис: XIII, 346 p. 68 illus., 12 illus. in color. online resourceТип вмісту:
  • text
Тип засобу:
  • computer
Тип носія:
  • online resource
ISBN:
  • 9783319505084
Тематика(и): Додаткові фізичні формати: Printed edition:: Немає назви; Printed edition:: Немає назви; Printed edition:: Немає назвиДесяткова класифікація Дьюї:
  • 004 23
Класифікація Бібліотеки Конгресу:
  • QA76.9.C62
Електронне місцезнаходження та доступ:
Вміст:
Number Systems -- Integers -- Floating Point -- Pitfalls of Floating-Point Numbers (and How to Avoid Them) -- Big Integers and Rational Arithmetic -- Fixed-Point Numbers -- Decimal Floating Point -- Interval Arithmetic -- Arbitrary Precision Floating-Point -- Other Number Systems.
У: Springer eBooksЗведення: This is a book about numbers and how those numbers are represented in and operated on by computers. It is crucial that developers understand this area because the numerical operations allowed by computers, and the limitations of those operations, especially in the area of floating point math, affect virtually everything people try to do with computers. This book aims to fill this gap by exploring, in sufficient but not overwhelming detail, just what it is that computers do with numbers. Divided into two parts, the first deals with standard representations of integers and floating point numbers, while the second examines several other number representations. Details are explained thoroughly, with clarity and specificity. Each chapter ends with a summary, recommendations, carefully selected references, and exercises to review the key points. Topics covered include interval arithmetic, fixed-point numbers, big integers and rational arithmetic. This new edition has three new chapters: Pitfalls of Floating-Point Numbers (and How to Avoid Them), Arbitrary Precision Floating Point, and Other Number Systems. This book is for anyone who develops software including software engineers, scientists, computer science students, engineering students and anyone who programs for fun.
Тип одиниці: ЕКнига Списки з цим бібзаписом: Springer Ebooks (till 2020 - Open Access)+(2017 Network Access)) | Springer Ebooks (2017 Network Access))
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Number Systems -- Integers -- Floating Point -- Pitfalls of Floating-Point Numbers (and How to Avoid Them) -- Big Integers and Rational Arithmetic -- Fixed-Point Numbers -- Decimal Floating Point -- Interval Arithmetic -- Arbitrary Precision Floating-Point -- Other Number Systems.

This is a book about numbers and how those numbers are represented in and operated on by computers. It is crucial that developers understand this area because the numerical operations allowed by computers, and the limitations of those operations, especially in the area of floating point math, affect virtually everything people try to do with computers. This book aims to fill this gap by exploring, in sufficient but not overwhelming detail, just what it is that computers do with numbers. Divided into two parts, the first deals with standard representations of integers and floating point numbers, while the second examines several other number representations. Details are explained thoroughly, with clarity and specificity. Each chapter ends with a summary, recommendations, carefully selected references, and exercises to review the key points. Topics covered include interval arithmetic, fixed-point numbers, big integers and rational arithmetic. This new edition has three new chapters: Pitfalls of Floating-Point Numbers (and How to Avoid Them), Arbitrary Precision Floating Point, and Other Number Systems. This book is for anyone who develops software including software engineers, scientists, computer science students, engineering students and anyone who programs for fun.

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Online access with authorization at https://link.springer.com/

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Онлайн доступ з авторизацією на https://link.springer.com/

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