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Approximations for Digital Computers

Approximations for Digital Computers

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"Approximations for Digital Computers" by Cecil Hastings, Jeanne T. Wayward, James P. Wong is a mathematics book and learning resource focused on Core Mathematics. Best for teachers, students, and readers looking for stronger mathematical understanding.

This monograph deals with the subject of best approximation in the sense of Chebyshev as applied to the problem of making univariate functional data available to the high-speed digital computing machine. Our investigation is of a numerical and empirical nature. Part I of this book serves as an introduction to the collection of approximations given in Part II. Part II contains the "Approximations for Digital Computers," formerly issued as a cumulative publication of loose sheets and made available to numerical analysts upon request. Each sheet of the seventy-odd issued in this series contains an approximation of a useful or illustrative nature presented with a carefully drawn error curve

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Best For: Students and professionals working with numerical methods and digital computing
Focus: Best approximation techniques based on Chebyshev's theory for univariate functions
Covers: Numerical and empirical approaches to function approximation tailored for high-speed digital computers
Why It Matters: Provides foundational methods to efficiently represent functional data for digital computation, supporting accurate and fast numerical analysis

"Approximations for Digital Computers" by Cecil Hastings, Jeanne T. Wayward, James P. Wong is a mathematics book and learning resource focused on Core Mathematics. Best for teachers, students, and readers looking for stronger mathematical understanding.

Topic: Core Mathematics

Author: Cecil Hastings, Jeanne T. Wayward, James P. Wong

Who this is for:

  • Teachers and classroom instructors
  • Students building subject mastery
  • Readers looking for practical learning support

Why this book matters: It stands out as a practical math resource that helps explain concepts, strengthen problem-solving, and support classroom or independent learning.

This monograph deals with the subject of best approximation in the sense of Chebyshev as applied to the problem of making univariate functional data available to the high-speed digital computing machine. Our investigation is of a numerical and empirical nature. Part I of this book serves as an introduction to the collection of approximations given in Part II. Part II contains the "Approximations for Digital Computers," formerly issued as a cumulative publication of loose sheets and made available to numerical analysts upon request. Each sheet of the seventy-odd issued in this series contains an approximation of a useful or illustrative nature presented with a carefully drawn error curve

AuthorCecil Hastings, Jeanne T. Wayward, James P. Wong
PublisherPrinceton University Press
Published2016-04-19
ISBN-139780691653105
BindingHardcover
LanguageEnglish
SubjectsElectronic digital computers
TopicCore Mathematics
SeriesPrinceton Legacy Library

Format: Hardcover

Language: English

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