同一个版本7.11.0.584 (R2010b)，安装在一个32位台式机上，和一个64位笔记本上，操作系统都是win7。
同一个.m文件，在32位台式机上运行的好好的，但是在64位笔记本上就出错了！报错如下：
??? Error using ==> mtimes
Inner matrix dimensions must agree.
Error in ==> evalincaller at 14
r = evalin('caller',a);
Error in ==> sym.eval at 33
r = evalin('caller',['evalincaller(''' sym2str(a) ''')']);
Error in ==> ColdHRBWO7 at 247
    plot(rx,eval(SS(kn,1))/TP,'k','LineWidth',sqrt(abs(kn)));
经过检查，问题出在：
SS(kn,1) = real(omg*epsl*T(kn,1)*T(kn,1)*bt(kn,1)*A(kn,1)*A(kn,1)*besselj(1,T(kn,1).*r).*besselj(1,T(kn,1).*r));
上。于是，我做了如下尝试：
(1)    我改成：
SS(kn,1) = real(omg*epsl*T(kn,1)*T(kn,1)*bt(kn,1)*A(kn,1)*A(kn,1)*besselj(1,T(kn,1).*r));
在64位笔记本上就不出错了。但真正的公式里面，的确需要两个bessel公式相乘。
(2)    我又把两个bessel之间的.*改成*：
SS(kn,1) = real(omg*epsl*T(kn,1)*T(kn,1)*bt(kn,1)*A(kn,1)*A(kn,1)*besselj(1,T(kn,1).*r)*besselj(1,T(kn,1).*r));
64位笔记本还出错！报的错误仍然是“Inner matrix dimensions must agree.”
(3)    我又改成如下两种形式：
SS(kn,1) = real(omg*epsl*T(kn,1)*T(kn,1)*bt(kn,1)*A(kn,1)*A(kn,1)*(besselj(1,T(kn,1).*r))^2);
SS(kn,1) = real(omg*epsl*T(kn,1)*T(kn,1)*bt(kn,1)*A(kn,1)*A(kn,1)*(besselj(1,T(kn,1).*r)).^2)
64位笔记本继续出错，报的错误又成了：“Inputs must be a scalar and a square matrix.”

出问题的程序段如下：
syms r z;
SS = zeros(2*n+1,1);
SS = sym(SS);
for kn=1:1:2*n+1
    SS(kn,1) = real(omg*epsl*T(kn,1)*T(kn,1)*bt(kn,1)*A(kn,1)*A(kn,1)*besselj(1,T(kn,1).*r).*besselj(1,T(kn,1).*r));
end
%#########################谐波功率#########################;
power=zeros(2*n+1,1);
TP = 0;
for kn=1:1:2*n+1
    clear sp;
    sp = @(z,r) real(besselj(1,T(kn,1).*r).*besselj(1,T(kn,1).*r).*r);
    power(kn,1) = real(2*pi/p*omg*epsl*T(kn,1)*T(kn,1)*bt(kn,1)*A(kn,1)*A(kn,1)*quad2d(sp,0,0.5*p,0,Rw,'RelTol',1e-5,'MaxFunEvals',9000));
    TP = TP + power(kn,1);
end
power = power/TP;
save power;
xlswrite('5-谐波功率.xls',power);
%#########################功率密度#########################;
rx = 0:0.01:(ro-d)*1e3;
r = rx*1e-3;
z = 0.5*p;
GLMD = rx';
figure(100);
for kn=1:1:2*n+1
    clear GLMDn;
    plot(rx,eval(SS(kn,1))/TP,'k','LineWidth',sqrt(abs(kn)));
    hold on;
    grid on;
    box on;
    xlabel('r-axis (mm)');
    ylabel('Power flux density (W/m2)');
    GLMDn = eval(SS(kn,1))/TP;
    GLMDn = GLMDn';
    GLMD = [GLMD,GLMDn];
end
save GLMD;
xlswrite('5-Poynting.xls',GLMD);