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Numerical analysis / by Stella Lee.

By: Material type: TextTextPublication details: New York, NY : Clanrye International, c2023.Description: viii, 286 pages : col. illus. ; 25 cmISBN:
  • 9781647263331
Subject(s): DDC classification:
  • Ref 518 L51n 2023
Contents:
Contents: Chapter 1. Numerical analysis: an introduction -- Chapter 2. Numerical differentiation and integration -- Chapter 3. Algorithms in numerical analysis -- Chapter 4. Numerical linear algebra -- Chapter 5. Mathematical optimization.
Summary: "The study of algorithms that use numerical approximation for the problems of mathematical analysis is known as numerical analysis. Some of the major areas of study within this field are computing values of functions, interpolation, extrapolation, regression, optimization, evaluating integrals and differential equations. The major methods that are used in numerical analysis are direct and iterative methods. Direct methods compute the solution to a problem in a finite number of steps and are able to give the answer if they are performed in infinite precision arithmetic. Iterative methods form successive approximations that converge to the exact solution only in the limit. Numerical analysis is applied in all fields of physical sciences and engineering as well as in social sciences, medicine and life sciences. This book unravels the recent studies in the field of numerical analysis. The topics included herein on numerical analysis are of utmost significance and bound to provide incredible insights to readers. Those in search of information to further their knowledge will be greatly assisted by this book." -- Provided by publisher.
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Item type Current library Collection Call number Status Barcode
Books Books ASCOT Library - Zabali Campus Reference Reference Ref 518 L51n 2023 (Browse shelf(Opens below)) Available Ref5180004886
Browsing ASCOT Library - Zabali Campus shelves, Shelving location: Reference, Collection: Reference Close shelf browser (Hides shelf browser)
Ref 515.35 G95d 2022. Differential equations / Ref 515.43 P17i 2022. Integral calculus / by Madan Pal. Ref 516.24 B72t 2023 Trigonometry / Ref 518 L51n 2023 Numerical analysis / Ref 519.5 B73u 2023 Understandable statistics: concepts and methods / Ref 519.5 B73u 2024 Understanding basic statistics / Ref 519.5 D65a 2022 04608 Applied statistics in business and economics /

Includes index.

Contents:
Chapter 1. Numerical analysis: an introduction --
Chapter 2. Numerical differentiation and integration --
Chapter 3. Algorithms in numerical analysis --
Chapter 4. Numerical linear algebra --
Chapter 5. Mathematical optimization.

"The study of algorithms that use numerical approximation for the problems of mathematical analysis is known as numerical analysis. Some of the major areas of study within this field are computing values of functions, interpolation, extrapolation, regression, optimization, evaluating integrals and differential equations. The major methods that are used in numerical analysis are direct and iterative methods. Direct methods compute the solution to a problem in a finite number of steps and are able to give the answer if they are performed in infinite precision arithmetic. Iterative methods form successive approximations that converge to the exact solution only in the limit. Numerical analysis is applied in all fields of physical sciences and engineering as well as in social sciences, medicine and life sciences. This book unravels the recent studies in the field of numerical analysis. The topics included herein on numerical analysis are of utmost significance and bound to provide incredible insights to readers. Those in search of information to further their knowledge will be greatly assisted by this book." -- Provided by publisher.

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