Path: utzoo!utgpu!water!watmath!clyde!att!rutgers!rochester!uhura.cc.rochester.edu!ur-valhalla!galaxy.ee.rochester.edu!davis From: davis@galaxy.ee.rochester.edu (Al Davis) Newsgroups: comp.lang.fortran Subject: Re: Fortran versus C for numerical anal Message-ID: <1440@valhalla.ee.rochester.edu> Date: 2 Sep 88 02:23:43 GMT References: <893@amelia.nas.nasa.gov> <50500072@uxe.cso.uiuc.edu> Sender: usenet@valhalla.ee.rochester.edu Reply-To: davis@ee.rochester.edu (Al Davis) Organization: UR Dept. of Electrical Engg, Rochester NY 14627 Lines: 12 The fact that Fortran does not support dynamic memory allocation makes it unsuitable for nearly all numerical analysis applications. The fact that Fortran does not have a convenient way of making a loop that does not use a simple counter makes it really cumbersome for many numerical applications (examples: FFT, any iterative method for solving nonlinear equations, etc.) The fact that C does not support conformant arrays is a trivial loss. Most who know what they are doing don't use static arrays anyway.