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Hadamard product (matrices)
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Related lectures (31)
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Modern Regression: Smoothing and Modelling Choices
Explores roughness penalty, band matrices, and Bayesian inference in regression smoothing.
Binet-Cauchy Theorem
Covers the Binet-Cauchy theorem, showing how determinants of matrix products relate to submatrix determinants.
Characteristics of Matrices and Eigenvalues
Explores matrices, eigenvalues, and diagonalizability, including invertibility and vector spaces.
Determinant: Geometric Interpretation
Explores the geometric interpretation of determinants in linear algebra, emphasizing area and volume calculations.
Diagonalization of Matrices
Explains the diagonalization of matrices, criteria, and significance of distinct eigenvalues.
Characteristic Polynomials and Similar Matrices
Explores characteristic polynomials, similarity of matrices, and eigenvalues in linear transformations.
Linear Algebra Review: Convex Optimization
Covers essential linear algebra concepts for convex optimization, including vector norms, eigenvalue decomposition, and matrix properties.
Matlab Programming Basics
Covers the basics of programming in Matlab, focusing on interactive usage, mathematical operations, vectors, matrices, strings, and 3D matrices.
Determinants of Matrices: Properties and Applications
Explores the properties and applications of determinants of matrices in linear algebra.
Convex Optimization: Linear Algebra Review
Provides a review of linear algebra concepts crucial for convex optimization, covering topics such as vector norms, eigenvalues, and positive semidefinite matrices.
Matrix operations: Basics and Manipulation
Covers basic matrix operations and manipulation techniques in MATLAB and Octave.
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