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OptFEM2DP1 Toolbox
1.2b4
Matlab/Octave Optimized P1-Lagrange Finite Element Method in 2D
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00001 function M=MassWAssembling2DP1OptV2(nq,nme,me,areas,Tw) 00002 % function M=MassWAssembling2DP1OptV2(nq,nme,me,areas,Tw) 00003 % Assembly of the Weighted Mass Matrix using `P_1`-Lagrange finite elements 00004 % - OptV2 version (see report). 00005 % 00006 % The Weighted Mass Matrix `\MasseF{w}` is given by 00007 % ``\MasseF{w}_{i,j}=\int_\DOMH w(\q)\;\FoncBase_i(\q)\; \FoncBase_j(\q)\; d\q,\ \forall (i,j)\in{\ENS{1}{\nq}}^2`` 00008 % where `\FoncBase_i` are `P_1`-Lagrange basis functions. 00009 % Parameters: 00010 % nq: total number of nodes of the mesh, also denoted by `\nq`, 00011 % nme: total number of triangles, also denoted by `\nme`, 00012 % me: Connectivity array, `3\times\nme` array.<br/> 00013 % `\me(\jl,k)` is the storage index of the 00014 % `\jl`-th vertex of the `k`-th triangle in the array `\q` of vertices coordinates, `\jl\in\{1,2,3\}` and 00015 % `k\in{\ENS{1}{\nme}}`. 00016 % areas: Array of areas, `1\times\nme` array. areas(k) is the area of the `k`-th triangle. 00017 % Tw: Array containing the values of `w` at the vertices, 00018 % `1\times\nq` array.<br/> 00019 % `Tw(i)=w(\q^i),` `\forall i\in\ENS{1}{\nq}`. 00020 % 00021 % Return values: 00022 % M: Global weighted mass matrix, `\nq\times\nq` sparse matrix. 00023 % 00024 % Example: 00025 % @verbatim 00026 % Th=SquareMesh(10); 00027 % w=@(x,y) cos(x+y); 00028 % Tw=w(Th.q(1,:),Th.q(2,:)); 00029 % Mw=MassWAssembling2DP1OptV2(Th.nq,Th.nme,Th.me,Th.areas,Tw); 00030 % @endverbatim 00031 % Copyright: 00032 % See \ref license 00033 Ig = me([1 2 3 1 2 3 1 2 3],:); 00034 Jg = me([1 1 1 2 2 2 3 3 3],:); 00035 W=Tw(me).*(ones(3,1)*areas/30); 00036 Kg=zeros(9,length(areas)); 00037 Kg(1,:)=3*W(1,:)+W(2,:)+W(3,:); 00038 Kg(2,:)=W(1,:)+W(2,:)+W(3,:)/2; 00039 Kg(3,:)=W(1,:)+W(2,:)/2+W(3,:); 00040 Kg(5,:)=W(1,:)+3*W(2,:)+W(3,:); 00041 Kg(6,:)=W(1,:)/2+W(2,:)+W(3,:); 00042 Kg(9,:)=W(1,:)+W(2,:)+3*W(3,:); 00043 Kg([4, 7, 8],:)=Kg([2, 3, 6],:); 00044 M = sparse(Ig,Jg,Kg,nq,nq);