Pakket: python-getfem++ (5.2+dfsg1-7 en anderen)

[ Bron: getfem++  ]

Python interface to the GETFEM++ generic finite element library

GETFEM++ is a library allowing the computation of any elementary matrix (even for mixed finite element methods) on the largest class of methods and elements, and for arbitrary dimension.

This package contains the Python interface to GETFEM++.

Andere aan python-getfem++ gerelateerde pakketten

• dep: libblas3

  Basic Linear Algebra Reference implementations, shared library

  of libblas.so.3

  virtueel pakket geboden door libatlas3-base, libblas3, libblis2-openmp, libblis2-pthread, libblis2-serial, libopenblas-base

• dep: libc6 (>= 2.14) [amd64]

  GNU C Bibliotheek: Gedeelde bibliotheken
  Ook een virtueel pakket geboden door: libc6-udeb

  dep: libc6 (>= 2.17) [arm64]

  dep: libc6 (>= 2.4) [armhf, i386]

• dep: libgcc1 (>= 1:3.0) [niet armhf]

  GCC support bibliotheek

  dep: libgcc1 (>= 1:3.5) [armhf]

• dep: libgetfem5++ (= 5.2+dfsg1-7+b1)

  GETFEM++ generic finite element library

• dep: libmumps-seq-5.1.2

  Direct linear systems solver - non-parallel shared libraries

• dep: libqhull7

  calculate convex hulls and related structures (shared library)

• dep: libstdc++6 (>= 5.2)

  GNU Standard C++ Library v3

• dep: libsuperlu5

  Direct solution of large, sparse systems of linear equations

• dep: python

  interactive high-level object-oriented language (Python2 version)

  dep: python (<< 2.8)

  dep: python (>= 2.7~)

• dep: python-numpy (>= 1:1.14.3)

  Numerical Python adds a fast array facility to the Python language

• dep: python-numpy-abi9

  virtueel pakket geboden door python-numpy

• dep: python-scipy

  scientific tools for Python

python-getfem++ downloaden

Pakket downloaden voor alle beschikbare platforms

Platform	Versie	Pakketgrootte	Geïnstalleerde grootte	Bestanden
amd64	5.2+dfsg1-7+b1	1.128,9 kB	4.705,0 kB	[overzicht]
arm64	5.2+dfsg1-7+b1	965,4 kB	4.329,0 kB	[overzicht]
armhf	5.2+dfsg1-7+b1	946,0 kB	2.992,0 kB	[overzicht]
i386	5.2+dfsg1-7+b1	1.153,4 kB	4.860,0 kB	[overzicht]