Scalar Multiplication
To multiply a matrix by a scalar, that is, a single constant,
variable, or expression, multiply all the entries in the matrix by the
scalar:
For example,
Scalar multiplication is distributive: ±(A + B) = ±A + ±B. For example,
Multiplication of Two Matrices
To multiply two matrices, we first must know how to multiply a row (a
1×p matrix) by a column (a p×1 matrix). To multiply
a row by a column, multiply the first entry of the row by the first
entry of the column. Then multiply the second entry of the row by the
second entry of the column, and so on, and add all the results. The
answer should be a single number. For example,
[ 8 –1 3 0 ] = 8(2) + ( 1)(6) + 3( 4) + 0( 2) = 16  6  12 + 0 =  2 

A row can be multiplied by a column if and only if the row and the
column have the same number of entries. Similarly, two matrices can
be multiplied if and only if the first matrix has the same number of
columns as the second matrix has rows. That is, two matrices can
be multiplied if and only if they have the dimensions m×p and
p×n. The answer will be a matrix with the same number of rows
as the first matrix and the same number of columns as the second
matrix. In other words, it will be of dimension m×n.
PARGRAPH
To multiply two matrices, multiply each row in the first matrix by each
column in the second matrix. Place the result of multiplying the 1st
row by the 1st column in the 1st row and 1st column of the answer
matrix. Place the result of multiplying the 1st row by the 2nd column
in the 1st row and second column of the answer matrix. In general,
place the result of multiplying row i by column j in row i and
column j of the answer matrix.
Here is an example of matrix multiplication:
Row 1, column 1:
= 1(5) + 6(2) +  2( 1) = 5 + 12 + 2 = 19 

Row 1, column 2:
= 1(0) + 6(4) + ( 2)( 2) = 0 + 24 + 4 = 28 

Row 1, column 3:
= 1( 1) + 6(0) + ( 2)(4) =  1 + 0  8 =  9 

Row 1, column 4:
= 1(1) + 6(6) + ( 2)() = 1 + 36  1 = 36 

Row 2, column 1:
= 0(5) + ( 3)(2) + 10( 1) = 0  6  10 =  16 

and so on...
Thus, the answer is