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linear-algebra

QR factorization

taught

Taught in

QR factorization
Linear Algebra — Vectors, Matrices, and the Geometry of Data

Requires

the-gram-schmidt-process required

Required by

Least squares via QR factorization, numerically required
QR revisited: Householder and Givens versus Gram-Schmidt required
What each factorization actually buys required
Why orthogonality is the numerically stable choice required

Local knowledge map

Local knowledge map

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Solid arrows are required prerequisites; dashed are recommended or helpful. Lower rows are more foundational. Click any box to jump to that concept.