基于离散差分法的复杂微分方程组求解matlab数值仿真

软件算法开发
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1.程序功能描述 基于离散差分法的复杂微分方程组求解.“连续微分方程”到“离散微分方程”到“差分方程”，离散微分方程，变成差分方程。建立差分方程时，时间采用一阶显格式，空间采用一阶偏心差分格式。

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2.测试软件版本以及运行结果展示 MATLAB2022a版本运行

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3.核心程序

`% ʼ
L = 0.05; % ռ䳤
time = 1e-8; %ʱ 䳤
Nz = 10; % ռ
Nt = 10; %ʱ
dt = time/Nt;%t΢ ֵ ۼ
dz = L/Nz;%z΢ ֵ ۼ

N1 = zeros(Nz,Nt); N2 = zeros(Nz,Nt); N3 = zeros(Nz,Nt); N4 = zeros(Nz,Nt); N1_Yb = zeros(Nz,Nt); N2_Yb = zeros(Nz,Nt); Ps = zeros(Nz,Nt);

PASE_plus = zeros(M,Nz,Nt); PASE_minus = zeros(M,Nz,Nt); Pp_plus = zeros(Nz,Nt); Pp_minus = zeros(Nz,Nt);

G = zeros(Nz,Nt); NF = zeros(Nz,Nt);

% 1 ʽ 1 ϵ IJ ʾ W11 = FpO13_vp/(AchVp); W12 = FsO12_vs/(AchVs); for i = 1:M W13(i) = F_ASE_vj(i) * O12_vj(i) / (AchVj(i)); end

W14 = FsO21_vs/(AchVs); for i = 1:M W15(i) = F_ASE_vj(i) * O21_vj(i) / (Ach*Vj(i)); end

W16 = FpO31_vp/(Ach*Vp);

% 1 ʽ 2 ϵ IJ ʾ W21 = FsO12_vs/(Ach*Vs);

for i = 1:M W22(i) = F_ASE_vj(i) * O12_vj(i) / (AchVj(i)); end W23 = FsO21_vs/(Ach*Vs);

for i = 1:M W24(i) = F_ASE_vj(i) * O21_vj(i) / (AchVj(i)); end

% 1 ʽ 3 ϵ IJ ʾ W31 = FpO13_vp/(AchVp); W32 = FpO31_vp/(AchVp);

% 1 ʽ 4 ϵ IJ ʾ W41 = FpO12Yb_vp/(AchVp); W42 = FpO21Yb_vp/(AchVp); Ps(1,:) = 0.001ones(1,Nt); Pp_plus(1,:) = 0.06ones(1,Nt); Pp_minus(1,:) = 0.04*ones(1,Nt);

for j = 1:Nt-1 for i = 1:Nz-1 % 1ʽ 1 N1(i,j+1) = N1(i,j) + ... dt*( -1*(W11*(Pp_plus(i,j) + Pp_minus(i,j)) + W12Ps(i,j) + sum(W13.(PASE_plus(:,i,j)+PASE_minus(:,i,j))'))N1(i,j) +... (A21 + W14Ps(i,j) + sum(W15.(PASE_plus(:,i,j)+PASE_minus(:,i,j))'))N2(i,j) + ... C2N2(i,j)^2 + W16(Pp_plus(i,j) + Pp_minus(i,j))N3(i,j) + C3N3(i,j)^2 - C14N1(i,j)N4(i,j)+... -1KtrN2_Yb(i,j)N1(i,j)+KbaN1_Yb(i,j)*N3(i,j) );

    %      1ʽ  2
    N2(i,j+1) = N2(i,j) + ...   
                dt*( (W21*Ps(i,j)+sum(W22.*(PASE_plus(:,i,j)+PASE_minus(:,i,j))'))*N1(i,j) +...
                  -1*(A21 + W23*Ps(i,j) + sum( W24.*(PASE_plus(:,i,j)+PASE_minus(:,i,j))' ))*N2(i,j) +...
                      A32*N3(i,j) - 2*C2*N2(i,j)^2 + 2*C14*N1(i,j)*N4(i,j) );
    
    %      1ʽ  3
    N3(i,j+1) = N3(i,j) + ...    
                dt*( W31*(Pp_plus(i,j) + Pp_minus(i,j))*N1(i,j) - A32*N3(i,j) - W32*(Pp_plus(i,j) + Pp_minus(i,j))*N3(i,j) -...
                     2*C3*N3(i,j)^2 + A43*N4(i,j) + Ktr*N2_Yb(i,j)*N1(i,j) - Kba*N1_Yb(i,j)*N3(i,j) );
   
    %      1ʽ  4
    N1_Yb(i,j+1) = N1_Yb(i,j) + ...
                   dt*(-1*W41*(Pp_plus(i,j) + Pp_minus(i,j))*N1_Yb(i,j) + W42*(Pp_plus(i,j) + Pp_minus(i,j))*N2_Yb(i,j) +...
                          A21Yb*N2_Yb(i,j) + Ktr*N2_Yb(i,j)*N1(i,j) - Kba*N1_Yb(i,j)*N3(i,j));
            
    %      1ʽ  5
    N4(i,j+1) = NEr - (N1(i,j+1) + N2(i,j+1) + N3(i,j+1)); 
    
    %      1ʽ  6
    N2_Yb(i,j+1) = NYb - N1_Yb(i,j+1);
    
    if N1(i,j+1) > NEr,N1(i,j+1) = NEr;end
    if N2(i,j+1) > NEr,N2(i,j+1) = NEr;end    
    if N3(i,j+1) > NEr,N3(i,j+1) = NEr;end    
    if N4(i,j+1) > NEr,N4(i,j+1) = NEr;end    
    if N1_Yb(i,j+1) > NYb,N1_Yb(i,j+1) = NYb;end
    if N2_Yb(i,j+1) > NYb,N2_Yb(i,j+1) = NYb;end          
    
    if N1(i,j+1) < 0,N1(i,j+1) = 0;end
    if N2(i,j+1) < 0,N2(i,j+1) = 0;end    
    if N3(i,j+1) < 0,N3(i,j+1) = 0;end    
    if N4(i,j+1) < 0,N4(i,j+1) = 0;end    
    if N1_Yb(i,j+1) < 0,N1_Yb(i,j+1) = 0;end
    if N2_Yb(i,j+1) < 0,N2_Yb(i,j+1) = 0;end             
    

    %     Ϸ  ̼   õ   N1  N2  N3  N4  N1Yb  N2Yb    
    %      2
    Pp_plus(i+1,j)   =  Pp_plus(i,j)  + dz*(-Fp*(O13_vp*N1(i,j) - O31_vp*N3(i,j) + O12Yb_vp*N1_Yb(i,j) - O21Yb_vp*N2_Yb(i,j))*Pp_plus(i,j)  - ap*Pp_plus(i,j));

    Pp_minus(i+1,j)  =  Pp_minus(i,j) + dz*(Fp*(O13_vp*N1(i,j) - O31_vp*N3(i,j) + O12Yb_vp*N1_Yb(i,j) - O21Yb_vp*N2_Yb(i,j))*Pp_minus(i,j) + ap*Pp_plus(i,j));

    Ps(i+1,j)        =  Ps(i,j)     + dz*(Fs*( O21_vs*N2(i,j) - O12_vs*N1(i,j) )*Ps(i,j) - as*Ps(i,j)); 

    for ii = 1:M
        PASE_plus(ii,i+1,j)  =    PASE_plus(ii,i,j)+dz*(F_ASE_vj(ii)*( O21_vj(ii)*N2(i,j) - O12_vj(ii)*N1(i,j) ) * PASE_plus(ii,i,j) +...
                                  2*h*Vj(ii)*DVj(ii)*F_ASE_vj(ii)*O21_vj(ii)*N2(i,j)-as*PASE_plus(ii,i,j));

        PASE_minus(ii,i+1,j) =   PASE_minus(ii,i,j)+dz*(-1*F_ASE_vj(ii)*( O21_vj(ii)*N2(i,j) - O12_vj(ii)*N1(i,j) ) * PASE_minus(ii,i,j) -...
                                 2*h*Vj(ii)*DVj(ii)*F_ASE_vj(ii)*O21_vj(ii)*N2(i,j)+as*PASE_minus(ii,i,j));            
    end

    if Pp_plus(i+1,j)    < 0,Pp_plus(i+1,j)     = 0;end
    if Pp_minus(i+1,j)   < 0,Pp_minus(i+1,j)    = 0;end
    if Ps(i+1,j)         < 0,Ps(i+1,j)          = 0;end        

    %ͨ    ̬    õ Pp+  Pp-  Pase+  Pase-  Ps
    
end

end

for z = 1:Nz for t = 1:Nt PASE_plus2(z,t) = sum(PASE_plus(:,z,t)); PASE_minus2(z,t) = sum(PASE_minus(:,z,t)); end end

for z = 1:Nz for t = 1:Nt G(z,t) = 10*log10(Ps(z,t)/Ps(1,1)); end end

for z = 1:Nz for t = 1:Nt NF(z,t) = 10*log10(1/G(z,t) + PASE_plus2(z,t)/(G(z,t)VsDVs) ); end end

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Pp_plus2 = interp1(dz:dz:L,Pp_plus(1:end,Nz),0:dz/10:L,'cubic'); Pp_minus2 = interp1(dz:dz:L,Pp_minus(1:end,Nz),0:dz/10:L,'cubic');

figure; subplot(211); plot(0:dz/10:L,Pp_plus2,'g-','LineWidth',3); xlabel('z'); ylabel('Pp+(Z)'); title('Pp+(Z)&z'); grid on; subplot(212); plot(L:-dz/10:0,Pp_minus2,'m--','LineWidth',2); xlabel('z'); ylabel('Pp-(Z)'); title('Pp-(Z)&z'); grid on; 16_015m `

4.本算法原理 本课题求解的方程组表达式如下：

996ad47c0a464ea7e85e3354fde0347e_watermark,size_14,text_QDUxQ1RP5Y2a5a6i,color_FFFFFF,t_100,g_se,x_10,y_10,shadow_20,type_ZmFuZ3poZW5naGVpdGk=.png

ba8a8b5d26bfb37d8ac099cba85451c6_watermark,size_14,text_QDUxQ1RP5Y2a5a6i,color_FFFFFF,t_100,g_se,x_10,y_10,shadow_20,type_ZmFuZ3poZW5naGVpdGk=.png

基于离散差分法的复杂微分方程组求解.“连续微分方程”到“离散微分方程”到“差分方程”，离散微分方程，变成差分方程。建立差分方程时，时间采用一阶显格式，空间采用一阶偏心差分格式。
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