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Related lectures (9)
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Direct Methods for Linear Systems
Covers the solution of linear systems using direct methods and the evolution of matrices.
Finite Difference Methods: Linear Systems and Band Matrices
Covers the application of finite difference methods to solve partial differential equations.
Modern Regression: Smoothing and Modelling Choices
Explores roughness penalty, band matrices, and Bayesian inference in regression smoothing.
Numerical Methods: Lecture 4
Covers band matrices, linear systems, stability analysis, and boundary corrections in numerical methods.
Direct Methods for Solving Linear Equations
Explores direct methods for solving linear equations, LU factorization, Gass elimination, and computational complexity.
Linear Systems: Direct Methods
Explores linear systems, Gaussian elimination, LU decomposition, and matrix types.
Optimal Distributed Control: Projected GD for Locally Optimal Controllers
Covers optimal distributed control using Gradient Descent to achieve locally optimal controllers in large-scale systems.
Electron Multiplying CCD: Principles and Applications
Covers the principles of single photon detection using Electron Multiplying Charge-Coupled Devices (EM-CCDs) and their applications in low-light imaging.
Matrix Factorization: Information Extraction
Explores matrix factorization for information extraction, Bayesian ranking, and relation embeddings.
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