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Numerical Methods of Mathematics Implemented in Fortran 2019 Edition at Meripustak

Numerical Methods of Mathematics Implemented in Fortran 2019 Edition by Sujit Kumar Bose , Springer

Books from same Author: Sujit Kumar Bose

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  • General Information  
    Author(s)Sujit Kumar Bose
    PublisherSpringer
    ISBN9789811371134
    Pages467
    BindingPaperback
    LanguageEnglish
    Publish YearMay 2019

    Description

    Springer Numerical Methods of Mathematics Implemented in Fortran 2019 Edition by Sujit Kumar Bose

    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. Table of contents : - 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.



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