There is also support for generating output in RTF (MS-Word), PostScript, hyperlinked PDF, compressed HTML, DocBook and Unix man pages.į90tohtml: Perl script to convert fortran source files into a hyperlinked web siteįord: Automatically generates FORtran Documentation from comments within the code, from Fortran-FOSS-Programmers Build ToolsĮasy: steps to setup a GitHub repository with fpm, and GitHub actions including ford(1) documentation and unit tests, by urbanjostįCM: modern Fortran build system + wrappers to Subversion for scientific software development, from metomiįoBiS.py, Fortran Building System for poor people: automatic parsing of files for dependency-hierarchy creation in case of use and include statements, and automatic building of all programs found into the root directory parsed or only a specific selected target, by szaghi et al.įortdepend: python script to generate dependencies for Fortran projects, by ZedThreeįortrandep: Python tool to determine Makefile dependencies for a Fortran project, by Ryan Orvedahlįortran_makedeps: small Python script to scan Fortran sources and generate makefile-appropriate dependencies, by James Biddleįortran Package Manager (fpm): package manager and build system for Fortran, from fortran-lang.
#PLOTS IN SIMPLY FORTRAN MANUAL#
(C) Automatic Documentationĭoxygen: generates an on-line documentation browser (in HTML) and/or an off-line reference manual (in LaTeX) from a set of documented source files. generation of code for evaluation of the first-order derivative (Jacobian matrix).
The most important one is Automatic Differentiation (AD), i.e. TAF supports several semantic transformations. TAF accepts Fortran 77-95 code as input, applies a semantic transformation, and generates Fortran 77-95 code. Transformation of Algorithms in Fortran (TAF): source-to-source translator for Fortran 77-95 code, i.e. It can be run online or be downloaded and installed locally as a set of Java classes (JAR archive). Tapenade: automatic differentiation engine developed at Inria. OpenAD: tool for automatic differentiation (AD) of numerical computer programs Related project: Fortran_DNADįazang: library for reverse-mode automatic differentiation, inspired by Stan/Math library, by Yi Zhang and Blair, M.: "DNAD, a Simple Tool for Automatic Differentiation of Fortran Codes Using Dual Numbers," Computer Physics Communications, vol.
#PLOTS IN SIMPLY FORTRAN UPDATE#
Text Editors, Integrated Development Environments, and PluginsĪdjac: automatic differentiation for generating sparse Jacobians, using Fortran 95 and operator overloading, by Pauli VirtanenĪutodiff: automatic differentiation for up to 4th derivatives, by Simon GeardĪuto-Diff: implementation in Modern Fortran of backward mode automatic differentiation, by zoziha.ĭual Number Automatic Differentiation (DNAD): update of code from Yu, W.
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