How do I resolve the error "Matrix dimensions must agree" here?

I'm trying to multiply 2 matricies in MatLab, the first is a 13x13 and the second is a 13x4. The inner dimensions of these matricies should agree and yet I am still getting the error "Matrix dimensions must agree". I have pasted the code below just to get some other eyes on it to see if maybe you guys can catch something that I am missing, thank you.

a_mat = [0 3.7699e+02 0 0 0 0 0 0 0 0 0 0 0;

-2.2138e-01 -5.8734e-04 -1.1884e-01 -1.0702e-01 -1.6010e-02 -6.9250e-02 -2.2234e-05 -5.8734e-05 2.2021e-01 -5.8734e-04 4.2564e-02 -1.8689e-04 2.2012e-03;

1.1124e-01 -4.4138e-04 -2.1738e+00 2.3382e+00 -1.1894e-02 -5.1077e-02 -1.6709e-05 1.4555e+00 -1.1212e-01 -4.4138e-04 -2.5957e-03 -1.4015e-04 2.5927e-02;

-3.5075e+00 2.3003e-02 3.0169e+01 -3.4136e+01 3.1049e-02 7.4233e-02 8.7077e-04 2.3003e-03 3.5534e+00 2.3003e-02 -1.4998e-01 7.3064e-03 -1.1509e+00;

-2.4341e-01 -3.4554e-03 -3.0690e-02 -2.8001e-02 -8.4423e+00 6.3190e+00 -1.3080e-04 2.3003e-03 3.5534e+00 2.3003e-02 -1.4998e-01 7.3064e-03 -1.1509e+00;

-2.5771e+00 -3.6583e-02 -3.2492e-01 -2.9646e-01 1.5185e+01 -2.1623e+01 -1.3849e-03 -3.6583e-03 2.5039e+00 -3.6583e-02 1.2545e+00 -1.1629e-02 1.1174e+00;

2.8696e+00 -6.6513e-02 -9.0935e+00 -8.1915e+00 2.5309e+00 1.1307e+01 -1.5244e-01 -6.6513e-03 -3.0025e+00 -6.6513e-02 1.3396e+00 -2.1134e-02 2.6921e+00;

2.2109e+01 -1.0098e+00 -1.5145e+02 -2.0588e+02 4.5756e+01 2.0389e+02 1.4923e+01 -1.3069e+02 -2.4127e+01 -1.0098e+00 2.3010e+01 -3.2087e-01 3.8995e+01;

0 0 0 0 0 0 0 0 0 3.7699e+02 0 0 0;

2.2016e-03 2.7398e-06 9.4525e-04 8.5103e-04 2.1091e-04 9.1859e-04 1.0372e-07 2.7398e-07 -2.1975e-03 -3.3333e-01 1.6015e-04 -2.9255e-05 -2.6203e-04;

0 0 0 0 0 0 0 0 0 0 0 0 1.0000e+00;

-4.8992e-05 9.6388e-07 4.4008e-05 3.9713e-05 -1.8464e-05 -8.3461e-05 0 0 5.2616e-05 9.6388e-07 -2.3268e-05 -3.0392e-02 -3.6324e-05;

-2.8199e+01 8.1414e-01 5.2452e+01 4.7296e+01 -1.6444e+01 -7.4507e+01 3.0819e-02 8.1414e-02 2.9826e+01 8.1414e-01 -1.6107e+02 7.5103e+00 -1.8906e+02]

b_mat=[0 0;

-5.8734e-04 4.2564e-02;

-4.4138e-04 -2.5957e-03;

2.3003e-02 -1.4998e-01;

-3.4554e-03 1.1849e-01;

-3.6583e-02 1.2545e+00;

-6.6513e-02 1.3396e+00;

-1.0098e+00 2.3010e+01;

0 0;

2.7398e-06 1.6015e-04;

0 1.0000e+00;

1.0000e+00 -2.3268e-05;

8.1414e-01 -1.6107e+02]

c_ang=[ 7.7302e-01 -2.4427e-04 2.3391e-01 2.1050e-01 9.4889e-02 4.1784e-01 -9.2469e-06 -2.4427e-05 2.2649e-01 -2.4427e-04 3.4508e-02 -7.7871e-05 -1.0880e-02;

1.3210e-04 0 5.6710e-05 5.1057e-05 1.2656e-05 5.5121e-05 0 0 9.9987e-01 0 9.6111e-06 -1.7549e-06 -1.5718e-05;

5.6135e-01 6.2868e-05 2.0058e-01 1.8053e-01 6.2297e-02 2.7339e-01 2.3799e-06 6.2868e-06 4.3877e-01 6.2868e-05 5.3039e-02 1.9510e-05 -4.0659e-02;

5.6415e-01 -2.6887e-05 1.9536e-01 1.7582e-01 6.3890e-02 2.8078e-01 -1.0178e-06 -2.6887e-06 4.3580e-01 -2.6887e-05 4.0344e-02 -9.0058e-06 -2.6848e-02;

1.3067e-04 0 5.8178e-05 5.2382e-05 1.0840e-05 5.2511e-05 0 0 9.9992e-01 0 7.3228e-06 1.2864e-03 -1.9291e-05]

c_v=[-5.9420e+01 1.5319e+00 1.0999e+02 9.9164e+01 -3.4720e+01 -1.5668e+02 5.7992e-02 1.5319e-01 6.2482e+01 1.5319e+00 -3.3844e+02 4.8650e-01 -3.7722e+02;

-2.4548e-02 4.8296e-04 2.2051e-02 1.9899e-02 -9.2518e-03 -4.1819e-02 1.8283e-05 4.8296e-05 2.6364e-02 4.8296e-04 -1.1659e-02 -1.5228e+01 -1.8200e-02;

5.0106e+02 5.0106e+02 5.0106e+02 5.0106e+02 5.0106e+02 5.0106e+02 5.0106e+02 5.0106e+02 5.0106e+02 5.0106e+02 5.0106e+02 5.0106e+02 5.0106e+02;

-2.8284e+01 7.2927e-01 5.2368e+01 4.7211e+01 -1.6529e+01 -7.4592e+01 2.7606e-02 7.2927e-02 2.9741e+01 7.2927e-01 -1.6116e+02 7.4833e+00 -1.7962e+02]

C=[c_v(3,:);

c_v(2,:);

c_ang(3,:);

c_ang(2,:)]

C_new=transpose(C)

row_vector=a_mat.*C_new

Answer 1

[Mohamad]

Hi , follow this correction , now you get the row_vector matrix with size ( 13 x 4 )

row_vector=a_mat*C_new ;