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Numerical methods of mathematics imp...

Bose, Sujit Kumar.

Numerical methods of mathematics implemented in Fortran

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Numerical methods of mathematics implemented in Fortranby Sujit Kumar Bose.
作者:	Bose, Sujit Kumar.
出版者:	Singapore :Springer Singapore :2019.
面頁冊數:	xvii, 467 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	FORTRAN (Computer program language)
電子資源:	https://doi.org/10.1007/978-981-13-7114-1
ISBN:	9789811371141$q(electronic bk.)

Numerical methods of mathematics implemented in Fortran
Bose, Sujit Kumar.

Numerical methods of mathematics implemented in Fortran[electronic resource] /by Sujit Kumar Bose. - Singapore :Springer Singapore :2019. - xvii, 467 p. :ill., digital ;24 cm. - Forum for interdisciplinary mathematics,2364-6748. - Forum for interdisciplinary mathematics..

Chapter 1. Computation in Fortran -- Chapter 2. Equations -- Chapter 3. System of Equations -- Chapter 4. Interpolation -- Chapter 5. Differentiation and Integration -- Chapter 6. Ordinary Differential Equations -- Chapter 7. Partial Differential Equations -- Chapter 8. Approximation -- Chapter 9. Matrix Eigenvalues -- Chapter 10. Fast Fourier Transform.

This book systematically classifies the mathematical formalisms of computational models that are required for solving problems in mathematics, engineering and various other disciplines. It also provides numerical methods for solving these problems using suitable algorithms and for writing computer codes to find solutions. For discrete models, matrix algebra comes into play, while for continuum framework models, real and complex analysis is more suitable. The book clearly describes the method-algorithm-code approach for learning the techniques of scientific computation and how to arrive at accurate solutions by applying the procedures presented. It not only provides instructors with course material but also serves as a useful reference resource. Providing the detailed mathematical proofs behind the computational methods, this book appeals to undergraduate and graduate mathematics and engineering students. The computer codes have been written in the Fortran programming language, which is the traditional language for scientific computation. Fortran has a vast repository of source codes used in real-world applications and has continuously been upgraded in line with the computing capacity of the hardware. The language is fully backwards compatible with its earlier versions, facilitating integration with older source codes.

ISBN: 9789811371141$q(electronic bk.)

Standard No.: 10.1007/978-981-13-7114-1doiSubjects--Topical Terms:

186143
FORTRAN (Computer program language)

LC Class. No.: QA76.73.F25 / B674 2019

Dewey Class. No.: 005.133

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520 $a This book systematically classifies the mathematical formalisms of computational models that are required for solving problems in mathematics, engineering and various other disciplines. It also provides numerical methods for solving these problems using suitable algorithms and for writing computer codes to find solutions. For discrete models, matrix algebra comes into play, while for continuum framework models, real and complex analysis is more suitable. The book clearly describes the method-algorithm-code approach for learning the techniques of scientific computation and how to arrive at accurate solutions by applying the procedures presented. It not only provides instructors with course material but also serves as a useful reference resource. Providing the detailed mathematical proofs behind the computational methods, this book appeals to undergraduate and graduate mathematics and engineering students. The computer codes have been written in the Fortran programming language, which is the traditional language for scientific computation. Fortran has a vast repository of source codes used in real-world applications and has continuously been upgraded in line with the computing capacity of the hardware. The language is fully backwards compatible with its earlier versions, facilitating integration with older source codes.
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