MIT

Singular Value Decomposition (the SVD)

Data Science, Analytics & Computer TechnologyProgramming & CodingComputer ScienceScience & MathMathematicsEngineering

Om kurset

Description: The SVD factors each matrix into an orthogonal matrix times a diagonal matrix (the singular value) times another orthogonal matrix: Rotation times stretch times rotation. Related section in textbook: 7.2b Instructor: Prof. Gilbert Strang