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Mastering Fortran: A Beginner-to-Advanced Guide for Scientific Computing
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Fuera de stock
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Peso con empaque:
0.59 kg
0.59 kg
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No
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Nuevo
Nuevo
Producto de:
Amazon
Amazon
Sobre este producto
- Build a solid foundation. Learn Fortran’s origins and evolution, install and configure compilers (gfortran, Intel Fortran), and write your first simple programs with confidence.
- Master core syntax and data types. Understand INTEGER, REAL, COMPLEX, CHARACTER, and more—plus best practices like using implicit none to avoid hidden errors.
- Work with arrays like a pro. Discover how Fortran’s column-major layout and powerful intrinsics (RESHAPE, SUM, TRANSPOSE, etc.) make scientific computing both concise and efficient.
- Write modular, maintainable code. Organize your projects with modules, encapsulate routines in subroutines and functions, and implement derived types for custom data structures.
- Optimize performance. Leverage compiler flags, loop unrolling, and profiling tools (gprof, VTune) to squeeze every ounce of speed from your code.
- Parallelize effectively. Explore shared-memory parallelism with OpenMP and distributed-memory models using Coarray Fortran or MPI to harness modern multicore architectures.
- Interface seamlessly with other languages. Use ISO_C_BINDING to call C libraries and f2py (or Cython) to integrate Fortran routines into Python workflows—bridging legacy code with new ecosystems.
- Modernize and maintain legacy code. Migrate old Fortran 77/90 code to free-format, introduce unit testing (pFUnit/FRUIT), and adopt continuous integration practices to keep your projects robust.
- Dive into domain-specific case studies. Examine real-life examples from weather modeling, finite element analysis, and signal processing to see how Fortran powers critical scientific computations.
- Stay future-ready. Learn about emerging standards, GPU offloading, and the latest open-source compilers (GNU, LLVM Flang) so you can keep pace with tomorrow’s high-performance computing challenges.
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