(Row Swaps) One very common row operation from linear algebra is the row swap operation. With this operation, we begin with an original matrix and produce a new matrix where two rows have interchanged locations. rov_avap Function: Input parameters: • an m x n matrix A (note: the dimensions are not passed in) • two scalars which represent the rows which are two be swapped Output parameters: • a new matrix representing the resulting matrix from performing the de- sired row swap operation on A A possible sample case is: » mat_B = row_awap([1:4 ; 2:5 ; 3:6 ; 4:7], 2, 3) mat B-

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(Row Swaps) One very common row operation from linear algebra is the row swap
operation. With this operation, we begin with an original matrix and produce a new
matrix where two rows have interchanged locations.
row_swap Function:
Input parameters:
• an m x n matrix A (note: the dimensions are not passed in)
• two scalars which represent the rows which are two be swapped
Output parameters:
• a new matrix representing the resulting matrix from performing the de-
sired row swap operation on A
A possible sample case is:
> mat_B = row_swap([1:4 ; 2:5 ; 3:6 ; 4:7], 2, 3)
mat B =
1
3
4
2
3
4
5
6
2
3
4
5
4 5
6
7
Transcribed Image Text:(Row Swaps) One very common row operation from linear algebra is the row swap operation. With this operation, we begin with an original matrix and produce a new matrix where two rows have interchanged locations. row_swap Function: Input parameters: • an m x n matrix A (note: the dimensions are not passed in) • two scalars which represent the rows which are two be swapped Output parameters: • a new matrix representing the resulting matrix from performing the de- sired row swap operation on A A possible sample case is: > mat_B = row_swap([1:4 ; 2:5 ; 3:6 ; 4:7], 2, 3) mat B = 1 3 4 2 3 4 5 6 2 3 4 5 4 5 6 7
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