- #1
James09
- 5
- 0
where possible evaluate the following
B A
B= (12 14 15 ) A= ( 1.2 1 )
( 1 1 12 ) (-0.6 0.8 )
( -0.1 -0.9 )
B A
B= (12 14 15 ) A= ( 1.2 1 )
( 1 1 12 ) (-0.6 0.8 )
( -0.1 -0.9 )
James09 said:3B - 2E
thats one I done earlier am I doing it the correct way??Code:12 14 15 X3 36 3 1 1 12 28 3 45 36 13 12 17 X2 26 6 3 19 -8 24 38 34 -16 26 6 36 3 24 38 + 28 3 34 - 16 45 3662 9 52 41 79 20
James09 said:And Can someone tell me what D is in base 16?
nylex said:this isn't too difficult. Base 16 means you have values in the range 0-15, each of which is represented as a single digit. After 9, we'd have to use two digits to represent the numbers, so we use letters instead (starting with a). Can you now work out what d is?
Nylex said:Yes, that's correct.
James09 said:so for example is i was given
1FF2 = it would be 11515216
I don't suppose you know how to solve the rest of the problems?
A matrix is a rectangular array of numbers or variables arranged in rows and columns. It is often used in mathematics, statistics, and computer programming to represent data or perform operations.
To evaluate matrices, you need to perform certain operations such as addition, subtraction, multiplication, or division on the corresponding elements of the matrices. These operations can be performed using specific rules depending on the type of matrices.
A row matrix has only one row, while a column matrix has only one column. In other words, a row matrix is horizontal, and a column matrix is vertical. The number of elements in a row matrix is equal to the number of columns in a column matrix.
No, matrices with different dimensions cannot be added or subtracted. The dimensions of two matrices must be the same in order to perform these operations. If the dimensions are different, the matrices are not compatible for addition or subtraction.
Matrix multiplication is not commutative because the order in which the matrices are multiplied affects the result. In other words, AB does not always equal BA, where A and B are matrices. This is because the number of rows and columns in each matrix play a crucial role in determining the result of the multiplication.