#matrixhacks — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #matrixhacks, aggregated by home.social.
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**Determinant:** A scalar value telling us how much a matrix scales/flips space.
Ex: For `[[a,b],[c,d]]`, `det = ad - bc`.
Pro-Tip: `det = 0` means the matrix isn't invertible! Its columns are linearly dependent – no unique solutions!
#LinearAlgebra #MatrixHacks #STEM #StudyNotes -
**Determinant:** A scalar value telling us how much a matrix scales/flips space.
Ex: For `[[a,b],[c,d]]`, `det = ad - bc`.
Pro-Tip: `det = 0` means the matrix isn't invertible! Its columns are linearly dependent – no unique solutions!
#LinearAlgebra #MatrixHacks #STEM #StudyNotes -
**Determinant:** A scalar value telling us how much a matrix scales/flips space.
Ex: For `[[a,b],[c,d]]`, `det = ad - bc`.
Pro-Tip: `det = 0` means the matrix isn't invertible! Its columns are linearly dependent – no unique solutions!
#LinearAlgebra #MatrixHacks #STEM #StudyNotes -
**Determinant:** A scalar value telling us how much a matrix scales/flips space.
Ex: For `[[a,b],[c,d]]`, `det = ad - bc`.
Pro-Tip: `det = 0` means the matrix isn't invertible! Its columns are linearly dependent – no unique solutions!
#LinearAlgebra #MatrixHacks #STEM #StudyNotes -
**Determinant:** A scalar value telling us how much a matrix scales/flips space.
Ex: For `[[a,b],[c,d]]`, `det = ad - bc`.
Pro-Tip: `det = 0` means the matrix isn't invertible! Its columns are linearly dependent – no unique solutions!
#LinearAlgebra #MatrixHacks #STEM #StudyNotes -
Alright, future engineers!
**Matrix Multiplication:** Combining two matrices by taking dot products of rows from the first with columns from the second.
Ex: `(A_mxn) * (B_nxp) = (C_mxp)`
Pro-Tip: Inner dimensions (n) MUST match! And remember, `AB ≠ BA` usually!
#LinearAlgebra #MatrixHacks #STEM #StudyNotes -
Alright, future engineers!
**Matrix Multiplication:** Combining two matrices by taking dot products of rows from the first with columns from the second.
Ex: `(A_mxn) * (B_nxp) = (C_mxp)`
Pro-Tip: Inner dimensions (n) MUST match! And remember, `AB ≠ BA` usually!
#LinearAlgebra #MatrixHacks #STEM #StudyNotes -
Alright, future engineers!
**Matrix Multiplication:** Combining two matrices by taking dot products of rows from the first with columns from the second.
Ex: `(A_mxn) * (B_nxp) = (C_mxp)`
Pro-Tip: Inner dimensions (n) MUST match! And remember, `AB ≠ BA` usually!
#LinearAlgebra #MatrixHacks #STEM #StudyNotes -
Alright, future engineers!
**Matrix Multiplication:** Combining two matrices by taking dot products of rows from the first with columns from the second.
Ex: `(A_mxn) * (B_nxp) = (C_mxp)`
Pro-Tip: Inner dimensions (n) MUST match! And remember, `AB ≠ BA` usually!
#LinearAlgebra #MatrixHacks #STEM #StudyNotes -
Alright, future engineers!
**Matrix Multiplication:** Combining two matrices by taking dot products of rows from the first with columns from the second.
Ex: `(A_mxn) * (B_nxp) = (C_mxp)`
Pro-Tip: Inner dimensions (n) MUST match! And remember, `AB ≠ BA` usually!
#LinearAlgebra #MatrixHacks #STEM #StudyNotes -
Alright, future engineers!
**Matrix Transpose:** Swapping a matrix's rows for its columns.
Ex: `[[1,2],[3,4]]^T` becomes `[[1,3],[2,4]]`.
Pro-Tip: `(AB)^T = B^T A^T`. Order matters when transposing products!
#LinearAlgebra #MatrixHacks #STEM #StudyNotes -
Alright, future engineers!
**Matrix Transpose:** Swapping a matrix's rows for its columns.
Ex: `[[1,2],[3,4]]^T` becomes `[[1,3],[2,4]]`.
Pro-Tip: `(AB)^T = B^T A^T`. Order matters when transposing products!
#LinearAlgebra #MatrixHacks #STEM #StudyNotes -
Alright, future engineers!
**Matrix Transpose:** Swapping a matrix's rows for its columns.
Ex: `[[1,2],[3,4]]^T` becomes `[[1,3],[2,4]]`.
Pro-Tip: `(AB)^T = B^T A^T`. Order matters when transposing products!
#LinearAlgebra #MatrixHacks #STEM #StudyNotes -
Alright, future engineers!
**Matrix Transpose:** Swapping a matrix's rows for its columns.
Ex: `[[1,2],[3,4]]^T` becomes `[[1,3],[2,4]]`.
Pro-Tip: `(AB)^T = B^T A^T`. Order matters when transposing products!
#LinearAlgebra #MatrixHacks #STEM #StudyNotes -
Alright, future engineers!
**Matrix Transpose:** Swapping a matrix's rows for its columns.
Ex: `[[1,2],[3,4]]^T` becomes `[[1,3],[2,4]]`.
Pro-Tip: `(AB)^T = B^T A^T`. Order matters when transposing products!
#LinearAlgebra #MatrixHacks #STEM #StudyNotes