From: george georgiano on 5 Mar 2010 08:28 Hi, is there anyway to solve a set of pdes using pdepe (which is built to solve problems in 1d) in 2d. I understand of course, the discretisation is such that it might be difficult to reduce it to a 2d problem. In that case you need a box ratrher than a line to discetise and thereby results might be wron. If pdepe is not the correct command and since I would not like to use the pdetoolbox, do you know any work that attempts to solve the following set of equations (even in one 1d arithmetically and then I will try to extend that in two D) numerically, to understand the methodology C1*dT1/dt=div(k1(T1,T2)*grad(T1))-A*(T1-T2); C2*dT2/dt=div(k2(T1,T2)*grad(T2))+A*(T1-T2); Any help is appreciated Regards George
From: Torsten Hennig on 7 Mar 2010 16:29 > Hi, is there anyway to solve a set of pdes using > pdepe (which is built to solve problems in 1d) in 2d. > I understand of course, the discretisation is such > that it might be difficult to reduce it to a 2d > problem. In that case you need a box ratrher than a > line to discetise and thereby results might be wron. > If pdepe is not the correct command and since I would > not like to use the pdetoolbox, do you know any work > that attempts to solve the following set of equations > (even in one 1d arithmetically and then I will try to > extend that in two D) numerically, to understand the > methodology > > C1*dT1/dt=div(k1(T1,T2)*grad(T1))-A*(T1-T2); > C2*dT2/dt=div(k2(T1,T2)*grad(T2))+A*(T1-T2); > Any help is appreciated > > Regards > George http://www.zib.de/Numerik/software/kardos/ http://homepages.cwi.nl/~gollum/LUGR/ Best wishes Torsten.
|
Pages: 1 Prev: Ax=b using spmd: problem Next: iris dataset and chi square test |