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Home Notes University Notes Part C Courses MT25 Computer Vision 35 NLA 35

Arnoldi decomposition and iteration Chebyshev polynomials Cholesky factorisation Conjugate gradient method Courant-Fischer minmax theorem CUR approximation Eigenvalue decomposition Eigenvalue problems Gaussian random matrices Givens rotations GMRES algorithm HMT algorithm Krylov subspace methods Lanczos algorithm Lanczos decomposition and iteration Least-squares Linear systems LU factorisation Marchenko-Pastur theorem Numerical Linear Algebra Numerical stability Overview of results and methods Power method Pseudoinverses QR algorithm QR factorisation Randomised least-squares Rayleigh-Ritz algorithm Schur decomposition Singular value decomposition Structured matrices Subspaces Useful miscellany Vector and matrix norms Weyl's inequality

Theories of Deep Learning 26 Uncertainty in Deep Learning 10

NLA

Created: May 18, 2026 | Updated: May 18, 2026 | Read markdown | About these notes | View in context | Study these flashcards

Course - Numerical Linear Algebra MT25^U
Notes - NLA MT25, Arnoldi decomposition and iteration^U
Notes - NLA MT25, Chebyshev polynomials^U
Notes - NLA MT25, Cholesky factorisation^U
Notes - NLA MT25, Conjugate gradient method^U
Notes - NLA MT25, Courant-Fischer minmax theorem^U
Notes - NLA MT25, CUR approximation^U
Notes - NLA MT25, Eigenvalue decomposition^U
Notes - NLA MT25, Eigenvalue problems^U
Notes - NLA MT25, Gaussian random matrices^U
Notes - NLA MT25, Givens rotations^U
Notes - NLA MT25, GMRES algorithm^U
Notes - NLA MT25, HMT algorithm^U
Notes - NLA MT25, Krylov subspace methods^U
Notes - NLA MT25, Lanczos algorithm^U
Notes - NLA MT25, Lanczos decomposition and iteration^U
Notes - NLA MT25, Least-squares^U
Notes - NLA MT25, Linear systems^U
Notes - NLA MT25, LU factorisation^U
Notes - NLA MT25, Marchenko-Pastur theorem^U
Notes - NLA MT25, Numerical stability^U
Notes - NLA MT25, Overview of results and methods^U
Notes - NLA MT25, Power method^U
Notes - NLA MT25, Pseudoinverses^U
Notes - NLA MT25, QR algorithm^U
Notes - NLA MT25, QR factorisation^U
Notes - NLA MT25, Randomised least-squares^U
Notes - NLA MT25, Rayleigh-Ritz algorithm^U
Notes - NLA MT25, Schur decomposition^U
Notes - NLA MT25, Singular value decomposition^U
Notes - NLA MT25, Structured matrices^U
Notes - NLA MT25, Subspaces^U
Notes - NLA MT25, Useful miscellany^U
Notes - NLA MT25, Vector and matrix norms^U
Notes - NLA MT25, Weyl’s inequality^U

© Copyright 2026 Olly Britton. Last updated: June 06, 2026.