#matrixmath — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #matrixmath, aggregated by home.social.
-
Alright, future engineers!
The **Identity Matrix (I)** is a square matrix with 1s on the main diagonal & 0s elsewhere.
Ex: For 2x2, `I = [[1,0],[0,1]]`.
Pro-Tip: It's the 1 of matrix multiplication – `AI = IA = A`. Essential for inverses!
#LinearAlgebra #MatrixMath #STEM #StudyNotes -
Alright, future engineers!
The **Identity Matrix (I)** is a square matrix with 1s on the main diagonal & 0s elsewhere.
Ex: For 2x2, `I = [[1,0],[0,1]]`.
Pro-Tip: It's the 1 of matrix multiplication – `AI = IA = A`. Essential for inverses!
#LinearAlgebra #MatrixMath #STEM #StudyNotes -
Alright, future engineers!
The **Identity Matrix (I)** is a square matrix with 1s on the main diagonal & 0s elsewhere.
Ex: For 2x2, `I = [[1,0],[0,1]]`.
Pro-Tip: It's the 1 of matrix multiplication – `AI = IA = A`. Essential for inverses!
#LinearAlgebra #MatrixMath #STEM #StudyNotes -
Alright, future engineers!
The **Identity Matrix (I)** is a square matrix with 1s on the main diagonal & 0s elsewhere.
Ex: For 2x2, `I = [[1,0],[0,1]]`.
Pro-Tip: It's the 1 of matrix multiplication – `AI = IA = A`. Essential for inverses!
#LinearAlgebra #MatrixMath #STEM #StudyNotes -
Alright, future engineers!
The **Identity Matrix (I)** is a square matrix with 1s on the main diagonal & 0s elsewhere.
Ex: For 2x2, `I = [[1,0],[0,1]]`.
Pro-Tip: It's the 1 of matrix multiplication – `AI = IA = A`. Essential for inverses!
#LinearAlgebra #MatrixMath #STEM #StudyNotes -
Alright, future engineers!
A **Determinant** is a scalar value that provides properties of a square matrix (e.g., if it's invertible).
Ex: For `A = [[a,b],[c,d]]`, `det(A) = ad - bc`.
Pro-Tip: If `det(A) = 0`, the matrix is singular (no inverse)! -
Alright, future engineers!
A **Determinant** is a scalar value that provides properties of a square matrix (e.g., if it's invertible).
Ex: For `A = [[a,b],[c,d]]`, `det(A) = ad - bc`.
Pro-Tip: If `det(A) = 0`, the matrix is singular (no inverse)! -
Alright, future engineers!
A **Determinant** is a scalar value that provides properties of a square matrix (e.g., if it's invertible).
Ex: For `A = [[a,b],[c,d]]`, `det(A) = ad - bc`.
Pro-Tip: If `det(A) = 0`, the matrix is singular (no inverse)! -
Alright, future engineers!
A **Determinant** is a scalar value that provides properties of a square matrix (e.g., if it's invertible).
Ex: For `A = [[a,b],[c,d]]`, `det(A) = ad - bc`.
Pro-Tip: If `det(A) = 0`, the matrix is singular (no inverse)! -
Alright, future engineers!
A **Determinant** is a scalar value that provides properties of a square matrix (e.g., if it's invertible).
Ex: For `A = [[a,b],[c,d]]`, `det(A) = ad - bc`.
Pro-Tip: If `det(A) = 0`, the matrix is singular (no inverse)! -
Alright, future engineers!
The **Determinant** of a square matrix reveals its scaling factor under transformation. Ex: For `[[a,b],[c,d]]`, det = `ad - bc`. Pro-Tip: If det != 0, the matrix is invertible & its columns are linearly independent!
#LinearAlgebra #MatrixMath #STEM #StudyNotes -
Alright, future engineers!
The **Determinant** of a square matrix reveals its scaling factor under transformation. Ex: For `[[a,b],[c,d]]`, det = `ad - bc`. Pro-Tip: If det != 0, the matrix is invertible & its columns are linearly independent!
#LinearAlgebra #MatrixMath #STEM #StudyNotes -
Alright, future engineers!
The **Determinant** of a square matrix reveals its scaling factor under transformation. Ex: For `[[a,b],[c,d]]`, det = `ad - bc`. Pro-Tip: If det != 0, the matrix is invertible & its columns are linearly independent!
#LinearAlgebra #MatrixMath #STEM #StudyNotes -
Alright, future engineers!
The **Determinant** of a square matrix reveals its scaling factor under transformation. Ex: For `[[a,b],[c,d]]`, det = `ad - bc`. Pro-Tip: If det != 0, the matrix is invertible & its columns are linearly independent!
#LinearAlgebra #MatrixMath #STEM #StudyNotes -
Alright, future engineers!
The **Determinant** of a square matrix reveals its scaling factor under transformation. Ex: For `[[a,b],[c,d]]`, det = `ad - bc`. Pro-Tip: If det != 0, the matrix is invertible & its columns are linearly independent!
#LinearAlgebra #MatrixMath #STEM #StudyNotes -
Alright, future engineers!
**Matrix Multiplication:** Combines two matrices, like applying transformations in sequence. Ex: For C=AB, C_ij = sum(A_ik * B_kj). Pro-Tip: Order matters! AB != BA (usually).
-
Alright, future engineers!
**Matrix Multiplication:** Combines two matrices, like applying transformations in sequence. Ex: For C=AB, C_ij = sum(A_ik * B_kj). Pro-Tip: Order matters! AB != BA (usually).
-
Alright, future engineers!
**Matrix Multiplication:** Combines two matrices, like applying transformations in sequence. Ex: For C=AB, C_ij = sum(A_ik * B_kj). Pro-Tip: Order matters! AB != BA (usually).
-
Alright, future engineers!
**Matrix Multiplication:** Combines two matrices, like applying transformations in sequence. Ex: For C=AB, C_ij = sum(A_ik * B_kj). Pro-Tip: Order matters! AB != BA (usually).
-
Alright, future engineers!
**Matrix Multiplication:** Combines two matrices, like applying transformations in sequence. Ex: For C=AB, C_ij = sum(A_ik * B_kj). Pro-Tip: Order matters! AB != BA (usually).
-
Alright, future engineers!
A **Determinant** is a scalar value from a square matrix, indicating if it's invertible. Ex: For A=[[a,b],[c,d]], det(A)=ad-bc. Pro-Tip: If det(A)=0, the matrix is singular – it has no inverse! -
Alright, future engineers!
A **Determinant** is a scalar value from a square matrix, indicating if it's invertible. Ex: For A=[[a,b],[c,d]], det(A)=ad-bc. Pro-Tip: If det(A)=0, the matrix is singular – it has no inverse! -
Alright, future engineers!
A **Determinant** is a scalar value from a square matrix, indicating if it's invertible. Ex: For A=[[a,b],[c,d]], det(A)=ad-bc. Pro-Tip: If det(A)=0, the matrix is singular – it has no inverse! -
Alright, future engineers!
A **Determinant** is a scalar value from a square matrix, indicating if it's invertible. Ex: For A=[[a,b],[c,d]], det(A)=ad-bc. Pro-Tip: If det(A)=0, the matrix is singular – it has no inverse! -
Alright, future engineers!
A **Determinant** is a scalar value from a square matrix, indicating if it's invertible. Ex: For A=[[a,b],[c,d]], det(A)=ad-bc. Pro-Tip: If det(A)=0, the matrix is singular – it has no inverse! -
Alright, future engineers!
The determinant (det(A)) of a square matrix is a scalar value that tells us about its invertibility & volume scaling. Ex: For A=[a,b;c,d], det(A)=ad-bc. Pro-Tip: If det(A)=0, A is singular (non-invertible)! Crucial info.
-
Alright, future engineers!
The determinant (det(A)) of a square matrix is a scalar value that tells us about its invertibility & volume scaling. Ex: For A=[a,b;c,d], det(A)=ad-bc. Pro-Tip: If det(A)=0, A is singular (non-invertible)! Crucial info.
-
Alright, future engineers!
The determinant (det(A)) of a square matrix is a scalar value that tells us about its invertibility & volume scaling. Ex: For A=[a,b;c,d], det(A)=ad-bc. Pro-Tip: If det(A)=0, A is singular (non-invertible)! Crucial info.
-
Alright, future engineers!
The determinant (det(A)) of a square matrix is a scalar value that tells us about its invertibility & volume scaling. Ex: For A=[a,b;c,d], det(A)=ad-bc. Pro-Tip: If det(A)=0, A is singular (non-invertible)! Crucial info.
-
Alright, future engineers!
The determinant (det(A)) of a square matrix is a scalar value that tells us about its invertibility & volume scaling. Ex: For A=[a,b;c,d], det(A)=ad-bc. Pro-Tip: If det(A)=0, A is singular (non-invertible)! Crucial info.
-
Researchers upend AI status quo by eliminating matrix multiplication in LLMs - Enlarge / Illustration of a brain inside of a light bulb. (credit: Gett... - https://arstechnica.com/?p=2033314 #matrixmultiplication #machinelearning #googlegemini #ucsantacruz #matrixmath #chatgpt #ternary #biz #matmul #gpu #ai
-
Researchers upend AI status quo by eliminating matrix multiplication in LLMs - Enlarge / Illustration of a brain inside of a light bulb. (credit: Gett... - https://arstechnica.com/?p=2033314 #matrixmultiplication #machinelearning #googlegemini #ucsantacruz #matrixmath #chatgpt #ternary #biz #matmul #gpu #ai
-
Researchers upend AI status quo by eliminating matrix multiplication in LLMs - Enlarge / Illustration of a brain inside of a light bulb. (credit: Gett... - https://arstechnica.com/?p=2033314 #matrixmultiplication #machinelearning #googlegemini #ucsantacruz #matrixmath #chatgpt #ternary #biz #matmul #gpu #ai
-
Researchers upend AI status quo by eliminating matrix multiplication in LLMs - Enlarge / Illustration of a brain inside of a light bulb. (credit: Gett... - https://arstechnica.com/?p=2033314 #matrixmultiplication #machinelearning #googlegemini #ucsantacruz #matrixmath #chatgpt #ternary #biz #matmul #gpu #ai
-
Researchers upend AI status quo by eliminating matrix multiplication in LLMs - Enlarge / Illustration of a brain inside of a light bulb. (credit: Gett... - https://arstechnica.com/?p=2033314 #matrixmultiplication #machinelearning #googlegemini #ucsantacruz #matrixmath #chatgpt #ternary #biz #matmul #gpu #ai
-
Ummm...this is totally gonna fuck #NVidia's share value! 😂😂😂
That's what they get when they rely on throwing hardware at an issue when you could've fixed the software algorithms! #AI #MatMul #MatrixMath
-
Ummm...this is totally gonna fuck #NVidia's share value! 😂😂😂
That's what they get when they rely on throwing hardware at an issue when you could've fixed the software algorithms! #AI #MatMul #MatrixMath
-
Ummm...this is totally gonna fuck #NVidia's share value! 😂😂😂
That's what they get when they rely on throwing hardware at an issue when you could've fixed the software algorithms! #AI #MatMul #MatrixMath
-
Ummm...this is totally gonna fuck #NVidia's share value! 😂😂😂
That's what they get when they rely on throwing hardware at an issue when you could've fixed the software algorithms! #AI #MatMul #MatrixMath
-
Ummm...this is totally gonna fuck #NVidia's share value! 😂😂😂
That's what they get when they rely on throwing hardware at an issue when you could've fixed the software algorithms! #AI #MatMul #MatrixMath