OptFEM2DP1 Toolbox  1.2b4
Matlab/Octave Optimized P1-Lagrange Finite Element Method in 2D
Opt/StiffAssembling2DP1OptV2.m
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00001 function R=StiffAssembling2DP1OptV2(nq,nme,q,me,areas)
00002 % function R=StiffAssembling2DP1OptV2(nq,nme,q,me,areas)
00003 %   Assembly of the Stiffness Matrix using `P_1`-Lagrange finite elements
00004 %   - OptV2 version (see report).
00005 %
00006 %   The Stiffness Matrix `\Stiff` is given by 
00007 %   ``\Stiff_{i,j}=\int_\DOMH \DOT{\GRAD\FoncBase_i(\q)}{\GRAD\FoncBase_j(\q)}d\q,\ \forall (i,j)\in{\ENS{1}{\nq}}^2``
00008 %   where `\FoncBase_i` are `P_1`-Lagrange basis functions.
00009 %
00010 % Parameters:
00011 %  nq: total number of nodes of the mesh, also denoted by `\nq`.
00012 %  nme: total number of triangles, also denoted by `\nme`.
00013 %  q: Array of vertices coordinates, `2\times\nq` array. <br/>
00014 %  `{\q}(\il,j)` is the
00015 %  `\il`-th coordinate of the `j`-th vertex, `\il\in\{1,2\}` and
00016 %  `j\in\ENS{1}{\nq}`
00017 %  me: Connectivity array, `3\times\nme` array.<br/>
00018 %  `\me(\jl,k)` is the storage index of the
00019 %  `\jl`-th  vertex of the `k`-th triangle in the array `\q` of vertices coordinates, `\jl\in\{1,2,3\}` and
00020 %       `k\in{\ENS{1}{\nme}}`.
00021 %  areas: Array of areas, `1\times\nme` array. areas(k) is the area of the `k`-th triangle.
00022 %
00023 % Return values:
00024 %  R: Stiffness Matrix, `\nq\times\nq` sparse matrix.
00025 %
00026 % Example:
00027 %  @verbatim 
00028 %    Th=SquareMesh(10);
00029 %    R=StiffAssembling2DP1OptV2(Th.nq,Th.nme,Th.me,Th.q,Th.areas);
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 
00036 q1 =q(:,me(1,:)); q2 =q(:,me(2,:)); q3 =q(:,me(3,:));
00037 u = q2-q3; v=q3-q1; w=q1-q2;
00038 clear q1 q2 q3
00039 areas4=4*areas;
00040 Kg=zeros(9,nme);
00041 Kg(1,:)=sum(u.*u,1)./areas4; % K1 ou G11
00042 Kg(2,:)=sum(v.*u,1)./areas4; % K2 ou G12
00043 Kg(3,:)=sum(w.*u,1)./areas4; % K3 ou G13
00044 Kg(5,:)=sum(v.*v,1)./areas4; % K5 ou G22
00045 Kg(6,:)=sum(w.*v,1)./areas4; % K6 ou G23
00046 Kg(9,:)=sum(w.*w,1)./areas4; % K9 ou G33
00047 Kg([4, 7, 8],:)=Kg([2, 3, 6],:);
00048 R = sparse(Ig,Jg,Kg,nq,nq);
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