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Using Python to Solve Partial Differential Equations
May/June 2007 (vol. 9 no. 3)
pp. 48-51
ASCII Text
x 
 
Kent-Andre Mardal, Ola Skavhaug, Glenn T. Lines, Gunnar A. Staff, ?smund ?deg?rd, "Using Python to Solve Partial Differential Equations," Computing in Science and Engineering, vol. 9, no. 3, pp. 48-51, May/June, 2007.
 
 
BibTex
x
 
@article{ 10.1109/MCSE.2007.64,
author = {Kent-Andre Mardal and Ola Skavhaug and Glenn T. Lines and Gunnar A. Staff and ?smund ?deg?rd},
title = {Using Python to Solve Partial Differential Equations},
journal ={Computing in Science and Engineering},
volume = {9},
number = {3},
issn = {1521-9615},
year = {2007},
pages = {48-51},
doi = {http://doi.ieeecomputersociety.org/10.1109/MCSE.2007.64},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - Computing in Science and Engineering
TI - Using Python to Solve Partial Differential Equations
IS - 3
SN - 1521-9615
SP48
EP51
EPD - 48-51
A1 - Kent-Andre Mardal,
A1 - Ola Skavhaug,
A1 - Glenn T. Lines,
A1 - Gunnar A. Staff,
A1 - ?smund ?deg?rd,
PY - 2007
KW - Python
KW - computer languages
KW - simulations
KW - PDEs
VL - 9
JA - Computing in Science and Engineering
ER -
 
Kent-Andre Mardal, Simula Research Laboratory
Ola Skavhaug, Simula Research Laboratory
Glenn T. Lines, Simula Research Laboratory
Gunnar A. Staff, Simula Research Laboratory
?smund ?deg?rd, Simula Research Laboratory
This article describes two Python modules for solving partial differential equations (PDEs): PyCC is designed as a Matlab-like environment for writing algorithms for solving PDEs, and SyFi creates matrices based on symbolic mathematics, code generation, and the finite element method.
Index Terms:
Python, computer languages, simulations, PDEs
Citation:
Kent-Andre Mardal, Ola Skavhaug, Glenn T. Lines, Gunnar A. Staff, ?smund ?deg?rd, "Using Python to Solve Partial Differential Equations," Computing in Science and Engineering, vol. 9, no. 3, pp. 48-51, May/June 2007, doi:10.1109/MCSE.2007.64
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