Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Quizes
Exercises
Publications
Startups
Units
Show all results for
Home
Lecture
Stochastic Optimization and Adaptive Gradient Methods
Graph Chatbot
Related lectures (42)
Matrix Factorization: Least Squares Method
Log in to Mediaspace to watch this video
Covers the factorization of a matrix and the least squares method.
Jordan decomposition
Log in to Mediaspace to watch this video
Explores the unique decomposition of matrices into diagonalizable and nilpotent parts, showcasing their properties and applications.
Matrix Operations: Linear Systems and Solutions
Log in to Mediaspace to watch this video
Explores matrix operations, linear systems, solutions, and the span of vectors in linear algebra.
Matrix Factorizations: LU Decomposition
Log in to Mediaspace to watch this video
Introduces LU decomposition for efficient linear equation solving using matrix factorization.
Linear Algebra Review: Convex Optimization
Log in to Mediaspace to watch this video
Covers essential linear algebra concepts for convex optimization, including vector norms, eigenvalue decomposition, and matrix properties.
Homotopy Categories: Model Structures
Log in to Mediaspace to watch this video
Explores homotopy categories in model structures, emphasizing weak equivalences and the Whitehead Lemma.
Power Systems Dynamics: Transient Stability
Log in to Mediaspace to watch this video
Explores transient stability in power systems dynamics, covering algebraic equations, generator models, and numerical integration techniques.
Parametric Signal Models: Matlab Practice
Log in to Mediaspace to watch this video
Covers parametric signal models and practical Matlab applications for Markov chains and AutoRegressive processes.
Integer Optimization: Theory and Applications
Log in to Mediaspace to watch this video
Covers the fundamentals of integer optimization, including integer programming, dynamic programming, and approximation algorithms.
Functions and Periodicity
Log in to Mediaspace to watch this video
Covers functions, including even and odd functions, periodicity, and function operations.
Linear Equations and Matrix Calculations
Log in to Mediaspace to watch this video
Covers the fundamentals of linear equations, matrices, and systems of linear equations, including matrix operations and solutions.
Orthogonality and Projection
Log in to Mediaspace to watch this video
Covers orthogonality, scalar products, orthogonal bases, and vector projection in detail.
Matrix Eigenvalues and Eigenvectors
Log in to Mediaspace to watch this video
Explains how the inverse of a matrix shares its eigenvalue and how the transposed version has the same set of eigenvalues.
Lebesgue Integration: Cantor Set
Log in to Mediaspace to watch this video
Explores the construction of the Lebesgue function on the Cantor set and its unique properties.
Vectors and Norms: Introduction to Linear Algebra Concepts
Log in to Mediaspace to watch this video
Covers essential concepts of vectors, norms, and their properties in linear algebra.
Understanding Vacuum Energy in Inflation
Log in to Mediaspace to watch this video
Explores vacuum energy during inflation and the dynamics of scalar and vector fields, emphasizing the importance of seeking clarification and providing details about upcoming exams.
Controlled Stochastic Processes
Log in to Mediaspace to watch this video
Explores controlled stochastic processes, focusing on analysis, behavior, and optimization, using dynamic programming to solve real-world problems.
Eigenvalues and Eigenvectors: Understanding Matrices
Log in to Mediaspace to watch this video
Explores eigenvalues and eigenvectors in matrices through examples and calculations.
Differentiability of Functions of Several Variables
Log in to Mediaspace to watch this video
Covers the differentiability of functions of multiple variables and the significance of directional derivatives and gradients.
Elementary Matrices and Inverses
Log in to Mediaspace to watch this video
Covers elementary matrices, their properties, and the algorithm to find the inverse of a matrix.
Previous
Page 2 of 3
Next