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TitleNumerical Methods of Mathematics Implemented in Fortran [electronic resource] / by Sujit Kumar Bose
ImprintSingapore : Springer Singapore : Imprint: Springer, 2019
Edition 1st ed. 2019
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Descript XVII, 467 p. 41 illus. online resource


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


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

Computer science -- Mathematics Computer science Computational Mathematics and Numerical Analysis. Mathematics of Algorithmic Complexity. Mathematical Logic and Formal Languages.


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