Matrix

Import

m = Import('matrix');

mul

Matrix multiplication.

m.mul(array1, array2);

Input:

• array1 and array2 are dicts those format must be:

  ['row': rownum, 'col': colnum, 'data':[...]]
  

  e.g.

  ['row': 3, 'col': 2, 'data':[1,0,0,1,1,1]]
  

  Which means this is a matrix shown below:

  [
    [1, 0],
    [0, 1],
    [1, 1],
  ]
  

Return value:

• A dict indicates the matrix that is the result of two arguments multiplication.

Error:

• An error occurred if encounter an invalid argument.

Example:

m = Import('matrix');
sys = Import('sys');

array1 = ['row': 3, 'col': 2, 'data':[1,0,0,1,1,1]];
array2 = ['row': 2, 'col': 2, 'data':[1,2,3,4]];
res_array = m.mul(array1, array2);
sys.print(res_array['row']);
sys.print(res_array['col']);
sys.print(res_array['data']);

The output is:

3
2
[1.000000, 2.000000, 3.000000, 4.000000, 4.000000, 6.000000, ]

inv

Matrix inversion.

m.inv(array);

Input:

• array - is a dict whose format follows the rules as given in mln_matrix_mul.

Return value:

• A dict of the inverse matrix.

Error:

• An error occurred if encounter an invalid argument.

Example:

m = Import('matrix');
sys = Import('sys');

array = ['row': 2, 'col': 2, 'data':[1,0,1,1]];
res_array = m.inv(array);
sys.print(res_array['row']);
sys.print(res_array['col']);
sys.print(res_array['data']);

The output is:

2
2
[1.000000, 0.000000, -1.000000, 1.000000, ]