Numerical Recipes in Fortran 90: Volume 2, Volume 2 of Fortran Numerical Recipes: The Art of Parallel Scientific Computing / Edition 2

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The second volume of the Fortran Numerical Recipes series, Numerical Recipes in Fortran 90 contains a detailed introduction to the Fortran 90 language and to the basic concepts of parallel programming, plus source code for all routines from the second edition of Numerical Recipes. This volume does not repeat any of the discussion of what individual programs actually do, the mathematical methods they utilize, or how to use them.

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Editorial Reviews

From the Publisher
"...this present volume will contribute decisively to a significant breakthrough, as it provides models not only of the numerical algorithms for which previous editions are already famed, but also of an excellent Fortran 90 style..." From the Foreword by Michael Metcalf, one of Fortran 90's original designers and author of FORTRAN 90 Explained.

"As with previous volumes in this series, this book is a classic and is essential reading for anyone concerned with the future of numerical calculation. It is beautifully produced, inexpensive for its content, and a must for any serious worker or student." A. D. Booth, Computing Reviews

"...very useful for graduate and postgraduate courses and also for all specialists who are interested in parallel scientific computing." Mikhail P. Levin, IEEE Concurrency

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Product Details

  • ISBN-13: 9780521574396
  • Publisher: Cambridge University Press
  • Publication date: 2/28/2014
  • Series: FORTRAN Numerical Recipes Series
  • Edition description: REV
  • Edition number: 2
  • Pages: 576
  • Product dimensions: 6.61 (w) x 9.69 (h) x 1.10 (d)

Table of Contents

1. Introduction to Fortran 90 language features; 2. Introduction to parallel programming; 3. Numerical recipes utility functions for Fortran 90; Part I. Fortran 90 Code chapters: 4. Preliminaries; 5. Solution of linear algebraic equations; 6. Interpolation and extrapolation; 7. Integration of functions; 8. Evaluation of functions; 9. Special functions; 10. Random numbers; 11. Sorting; 12. Root finding and nonlinear sets of equations; 13. Minimization or maximization of functions; 14. Eigensystems; 15. Fast Fourier transform; 16. Fourier and spectral applications; 17. Statistical description of Data; 18. Modelling of data; 19. Integration of ordinary differential equations; 20. Two point boundary value problems; 21. Integral equations and inverse theory; 22. Partial differential equations; 23 Less-numerical algorithms; Part II. Appendices: 24. Listing of utility modules (nrtype and nrutil); 25. Listing of explicit interfaces; 26. Index of programs and dependencies.

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