Yes, see here: http://www.fenics.org/wiki/Download
-- Anders On 7 Apr, 20:48, "David Joyner" <[EMAIL PROTECTED]> wrote: > On Mon, Apr 7, 2008 at 2:35 PM, Anders Logg <[EMAIL PROTECTED]> wrote: > > > On 7 Apr, 16:47, "Ondrej Certik" <[EMAIL PROTECTED]> wrote: > > > On Mon, Apr 7, 2008 at 4:15 PM, David Joyner <[EMAIL PROTECTED]> wrote: > > > > > On Mon, Apr 7, 2008 at 10:08 AM, Ondrej Certik <[EMAIL PROTECTED]> > > wrote: > > > > > > On Mon, Apr 7, 2008 at 3:41 PM, Mike Hansen <[EMAIL PROTECTED]> > > wrote: > > > > > > > On Mon, Apr 7, 2008 at 6:25 AM, Ondrej Certik <[EMAIL > > PROTECTED]> wrote: > > > > > > > Yes, I did. This is the code developed by people at Simula. > > It works > > > > > > > nice, but it's quite difficult to install. I generally > > prefer smaller > > > > > > > tools, if I can get the job done. > > > > > > > > Ondrej > > > > > > > Other than size and build issues, are the two projects > > equivalent > > > > > > feature / speed-wise? > > > > > > To my purposes, sfepy is better than fenics, because sfepy is in > > > > > python (and can do all I need). As to speed, that's about the same, > > > > > because the mainloop of sfepy for the assembly is in pure C, > > without > > > > > any python callbacks. Also because it's smaller, I find it simpler > > to > > > > > use. But Fenics definitely is also good and have it's users. > > > > > Feature-wise, is Fenics better than sfepy? > > > > I tried Fenics about a year ago, so they may have improved. For my own > > > purposes, i.e. solving a PDE, with Neumann or Dirichlet boundary > > > conditions, > > > assigning different material properties to different regions in the > > > body, etc., sfepy is better in a sense, that I was able to do what I > > > want in it (with the help of Robert) easier than in Fenics. > > > > > You did seem to indicate sfepy > > > > is smaller. Is it because Fenics does more? > > > > Because they are doing almost everything in C++, while sfepy uses a > > > very clever approach of only doing the main assembly loop in pure C, > > > otherwise doing everything in Python (so it's the same fast as the > > > libmesh (also C++ library) for my own purposes). Also, at the time I > > > tried Fenics, I had to code in C++ to do what I want. I don't like > > > that, I prefer > > > to work in Python (in sfepy, you don't have to touch the C code, > > > unless you want to do something very unusual). But they may have > > > improved since then. > > > > > Also, isn't Fenics also in > > > > C+Python? > > > > It's Python + C++. I don't like C++, I really prefer Python + C, it's > > > easier to understand, cleaner, more portable, easier to wrap in > > > Python, etc. > > > > Well, download the sources of Dolfin and sfepy and see for yourself. > > > It takes less than 30s to compile sfepy on my computer. I haven't > > > tried dolphin, because it requires some dependencies I don't have, but > > > I am sure it will take at least 20x more time. Sfepy only requires > > > numpy+scipy. > > > > Ondrej > > > Just a few comments. > > > 1. Yes, we have improved (as always... :-) but it's still far from > > finished. > > > There's a simple example demonstrating the solution of Poisson's > > equation > > on this page:http://www.fenics.org/wiki/Tutorial > > > More demos can be found here: > > > http://www.fenics.org/hg/dolfin?cmd=manifest;manifest=e91acc1d9b39276... > > > 2. Yes, FEniCS is fairly complex:http://www.fenics.org/wiki/Projects > > > However, this shouldn't be a problem for users, and there are (Ubuntu) > > packages > > that let you install everything by just doing apt-get install fenics. > > [EMAIL PROTECTED]:~/wdj/computer_algebra/dolfin$ sudo apt-get install fenics > [sudo] password for wdj: > Reading package lists... Done > Building dependency tree > Reading state information... Done > E: Couldn't find package fenics > > Maybe a site has to be added to /etc/sources? > > > > > -- > > Anders --~--~---------~--~----~------------~-------~--~----~ To post to this group, send email to sage-support@googlegroups.com To unsubscribe from this group, send email to [EMAIL PROTECTED] For more options, visit this group at http://groups.google.com/group/sage-support URLs: http://www.sagemath.org -~----------~----~----~----~------~----~------~--~---
