Skip to main content
Graph
Search
fr
|
en
Switch to dark mode
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Lecture
Optimal Control: KKT Conditions
Graph Chatbot
Related lectures (29)
Previous
Page 3 of 3
Next
Conjugate Gradient Optimization
Explores Conjugate Gradient optimization, covering quadratic and nonlinear cases, Wolfe conditions, BFGS, CG algorithms, and matrix symmetry.
Linear Algebra: Quadratic Forms and Matrix Diagonalization
Discusses quadratic forms, matrix diagonalization, and their applications in optimization problems.
Eigenvalues and Eigenvectors Decomposition
Covers the decomposition of a matrix into its eigenvalues and eigenvectors, the orthogonality of eigenvectors, and the normalization of vectors.
Canonical Correlation Analysis: Overview
Covers Canonical Correlation Analysis, a method to find relationships between two sets of variables.
Descent methods and line search: Preconditioned steepest descent
Introduces preconditioning in optimization problems and explains steepest descent iteration.
Optimal Control: Unconstrained and Constrained Problems
Explores optimal control in unconstrained and constrained problems, emphasizing the importance of sparsity.
Decomposition Spectral: Symmetric Matrices
Covers the decomposition of symmetric matrices into eigenvalues and eigenvectors.
Matrix Diagonalization: Spectral Theorem
Covers the process of diagonalizing matrices, focusing on symmetric matrices and the spectral theorem.
Multivariate Statistics: Wishart and Hotelling T²
Explores the Wishart distribution, properties of Wishart matrices, and the Hotelling T² distribution, including the two-sample Hotelling T² statistic.