FORTRAN remains one of the principal programming languages used in high-performance scientific, numerical, and engineering computing.
This new edition, written by experts in the field, three of whom have actively contributed to FORTRAN 2023, is thus a complete and authoritative description of FORTRAN in its latest form, with the intention that it remain the main reference work in the field..
This structure enables the reader to distinguish clearly between what is old and what is new.
The additional features now brought by the 2023 standard, which are mostly relatively minor in nature, are described in two final chapters, the first on generic programming and the second on the other features.
The material contained in the four final chapters of the second edition have been merged into the main text, thereby offering, in 20 chapters, a comprehensive and uniform description of FORTRAN 2018.
This third edition of Modern FORTRAN Explained expands on the second.
There is every sign that Modern FORTRAN will continue to be used to tackle major scientific computing problems in the next decade and beyond and will long remain a living tribute to its early pioneers.
It is able to attain the highest achievable optimization, mainly because multi-dimensional arrays are \'natural\' objects and because its pointers are highly constrained.
Thus, we see that Fortran\'s particular advantages as a high-end numerical language, especially where arrays are the main form of data object and/or where complex arithmetic is involved, are still to the fore.
The language as defined by its most recent standards, with their introduction of object-oriented programming and of coarrays, is often referred to generically as \'Modern Fortran\', and this term is increasingly used in the literature.
A series of significant revisions to the standard versions of the language have progressively enhanced its capabilities, and the current standard - FORTRAN 2023 - brings with it further additions and improvements.
FORTRAN remains one of the principal programming languages used in high-performance scientific, numerical, and engineering computing
