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Practical numerical and scientific computing with MATLAB and Python
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Practical numerical and scientific computing with MATLAB and Python/ Eihab B.M. Bashier.
Author:
Bashier, Eihab Bashier Mohammed.
Published:
Boca Raton, FL :CRC Press, : c2020.,
Description:
1 online resource (1 v.) :ill. :
Notes:
"A Chapman & Hall book."
Subject:
Science - Data processing. -
Online resource:
https://www.taylorfrancis.com/books/9780429021985
ISBN:
9780429021985
Practical numerical and scientific computing with MATLAB and Python
Bashier, Eihab Bashier Mohammed.
Practical numerical and scientific computing with MATLAB and Python
[electronic resource] /Eihab B.M. Bashier. - Boca Raton, FL :CRC Press,c2020. - 1 online resource (1 v.) :ill.
"A Chapman & Hall book."
Includes bibliographical references and index.
This book concentrates on the practical aspects of numerical analysis and linear and non-linear programming. It discusses the methods for solving different types of mathematical problems using MATLAB and Python. Although the book focuses on the approximation problem rather than on error analysis of mathematical problems, it provides practical ways to calculate errors. The book is divided into three parts, covering topics in numerical linear algebra, methods of interpolation, numerical differentiation and integration, solutions of differential equations, linear and non-linear programming problems, and optimal control problems".
ISBN: 9780429021985Subjects--Uniform Titles:
MATLAB.
Subjects--Topical Terms:
528623
Science
--Data processing.
LC Class. No.: Q183.9 / .B375 2020
Dewey Class. No.: 502.85
Practical numerical and scientific computing with MATLAB and Python
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Practical numerical and scientific computing with MATLAB and Python
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Eihab B.M. Bashier.
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Boca Raton, FL :
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CRC Press,
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1 online resource (1 v.) :
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ill.
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"A Chapman & Hall book."
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Includes bibliographical references and index.
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This book concentrates on the practical aspects of numerical analysis and linear and non-linear programming. It discusses the methods for solving different types of mathematical problems using MATLAB and Python. Although the book focuses on the approximation problem rather than on error analysis of mathematical problems, it provides practical ways to calculate errors. The book is divided into three parts, covering topics in numerical linear algebra, methods of interpolation, numerical differentiation and integration, solutions of differential equations, linear and non-linear programming problems, and optimal control problems".
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https://www.taylorfrancis.com/books/9780429021985
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