Numerical Recipes in FORTRAN and FORTRAN 90: The Art of Scientific and Parallel Computing

Numerical Recipes in FORTRAN and FORTRAN 90: The Art of Scientific and Parallel Computing is a comprehensive guidebook designed for scientists and engineers who want to enhance their computing skills in scientific and parallel programming using the FORTRAN programming language.

This book, published by Cambridge University Press, provides an extensive exploration of numerical algorithms and computational techniques, particularly focusing on their implementation using FORTRAN and FORTRAN 90. It offers a wide range of topics, including mathematical techniques, random number generation, linear algebra, interpolation, integration, optimization, and much more.

The book emphasizes both the theoretical foundations and practical applications of scientific computing. It combines clear explanations of algorithms with ready-to-use code examples, allowing readers to implement the algorithms directly into their own projects. The examples are provided in both the original FORTRAN programming language as well as the more modern FORTRAN 90.

Structured into numerous chapters and appendices, the book also covers parallel computing techniques, addressing the challenges posed by modern parallel architectures. It discusses parallel algorithms, message passing interface (MPI), shared memory programming models, and performance optimization for parallel systems.

Throughout the book, emphasis is placed on efficiency, accuracy, and good coding practices. It includes useful tips and tricks for efficient computation and error handling. The text also includes exercises at the end of each chapter to allow readers to test their understanding and further enhance their skills.

Numerical Recipes in FORTRAN and FORTRAN 90 is a valuable resource for scientists, engineers, or anyone interested in numerical computing using FORTRAN. Whether working on simulations, data analysis, or mathematical modeling, this book provides the necessary tools and knowledge to tackle complex computational problems.