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
Decomposition and Separability
Graph Chatbot
Related lectures (30)
Decomposition of a Vector
Log in to Mediaspace to watch this video
Covers the decomposition of a vector in a base and its applications in speed and distance calculations.
Matrix Diagonalization: Spectral Theorem
Log in to Mediaspace to watch this video
Covers the process of diagonalizing matrices, focusing on symmetric matrices and the spectral theorem.
Galois Theory Fundamentals
Log in to Mediaspace to watch this video
Explores Galois theory fundamentals, including separable elements, decomposition fields, and Galois groups, emphasizing the importance of finite degree extensions and the structure of Galois extensions.
Geometric Primary Decomposition
Log in to Mediaspace to watch this video
Covers radical ideals, Nullstellensatz, primary ideals, and algebraic sets.
Normed Spaces
Log in to Mediaspace to watch this video
Covers normed spaces, dual spaces, Banach spaces, Hilbert spaces, weak and strong convergence, reflexive spaces, and the Hahn-Banach theorem.
Mechanics: Introduction and Calculus
Log in to Mediaspace to watch this video
Introduces mechanics, differential and vector calculus, and historical perspectives from Aristotle to Newton.
Direct Methods for Solving Linear Equations
Log in to Mediaspace to watch this video
Explores direct methods for solving linear equations and the impact of errors on solutions and matrix properties.
Matrices and Quadratic Forms: Key Concepts in Linear Algebra
Log in to Mediaspace to watch this video
Provides an overview of symmetric matrices, quadratic forms, and their applications in linear algebra and analysis.
Orthogonal Projection Theorems
Log in to Mediaspace to watch this video
Covers the theorems related to orthogonal projection and orthonormal bases.
Decomposition Spectral: Symmetric Matrices
Log in to Mediaspace to watch this video
Covers the decomposition of symmetric matrices into eigenvalues and eigenvectors.
Previous
Page 2 of 2
Next