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SVD Calculator
Compute Singular Value Decomposition ($A = U \Sigma V^T$) for a $2 \times 2$ matrix
Formula: For a $2 \times 2$ matrix $A$, SVD decomposes it into orthogonal matrices $U$ and $V^T$ and a diagonal matrix of singular values $\Sigma$. Enter matrix elements below.
Matrix $2 \times 2$ Inputs
Calculation Results
⚠️ For educational purposes only. Verify results with a qualified professional when making important decisions.