![](data:image/png;base64,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)
TI-83 Plus Matrices 281
rref(
matrix
)
rowSwap(
rowSwap(
returns a matrix. It swaps
rowA
and
rowB
of
matrix
.
rowSwap(
matrix
,
rowA
,
rowB
)
row+(
row+(
(row addition) returns a matrix. It adds
rowA
and
rowB
of
matrix
and
stores the results in
rowB
.
row+(
matrix
,
rowA
,
rowB
)