Symmetric Matrices Courses and Certifications

Linear Algebra IV: Orthogonality & Symmetric Matrices and the SVD

5 ratings at edX

This course takes you through roughly five weeks of MATH 1554, Linear Algebra, as taught in the School of Mathematics at The Georgia Institute of Technology.

• edX
• 3 weeks, 5-6 hours a week
• On-Demand
• Free Online Course (Audit)

Society for Industrial and Applied Mathematics

Linear Spaces of Symmetric Matrices - SIAM SAGA Seminar

Explore linear spaces of symmetric matrices, their algebraic geometry, and applications in statistics and optimization with Bernd Sturmfels in this advanced mathematics seminar.

• YouTube
• 51 minutes
• On-Demand
• Free Video

NPTEL-NOC IITM

Perron-Frobenius Theorem for Nonnegative Symmetric Matrices

Discover the Perron-Frobenius theorem for nonnegative symmetric matrices and learn to find upper bounds on largest eigenvalues using vertex and edge counts.

• YouTube
• 26 minutes
• On-Demand
• Free Video

Symmetric Matrices

Explore symmetric matrices, quadratic forms, and the true second derivative test in linear algebra and calculus.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Microcredential

Linear Algebra from Elementary to Advanced

224 ratings at Coursera

Comprehensive introduction to linear algebra, covering vectors, matrices, and their applications. Emphasizes both algebraic and geometric understanding, preparing students for advanced topics in various fields.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

Linear Algebra: Orthogonality and Diagonalization

46 ratings at Coursera

Explore orthogonality, diagonalization, and symmetric matrices, gaining skills applicable to AI and machine learning. Develop a strong foundation for advanced studies in data science and mathematics.

• Coursera
• 9 hours 15 minutes
• On-Demand
• Paid Course

Linear Algebra and Geometry 3

123 ratings at Udemy

Inner product spaces, quadratic forms, symmetric matrices: more advanced problem solving; singular value decomposition

• Udemy
• 2 days 3 hours
• On-Demand
• Paid Course

Conference GSI

Learning with Symmetric Positive Definite Matrices via Generalized Bures-Wasserstein Geometry

Explore advanced mathematical concepts in symmetric positive definite matrices and their applications using generalized Bures Wasserstein geometry.

• YouTube
• 20 minutes
• On-Demand
• Free Video

Conference GSI

Geometry Preserving Lie Group Integrators for Differential Equations on the Manifold of Symmetric Matrices

Explore Lie group integrators for differential equations on symmetric manifolds, preserving geometric properties in numerical solutions.

• YouTube
• 22 minutes
• On-Demand
• Free Video

NPTEL;  IISc Bangalore

Advanced Matrix Theory and Linear Algebra for Engineers

1 review

Comprehensive exploration of advanced linear algebra concepts for engineers, covering vector spaces, transformations, orthogonality, diagonalization, and singular value decomposition.

• YouTube
• 1 day 14 hours
• On-Demand
• Free Video

Insights into Mathematics

Curvature for the General Paraboloid - Differential Geometry - NJ Wildberger

Novel approach to surface curvature using projective geometry and linear algebra. Explores paraboloid curvature through characteristic polynomials, offering insights for higher-dimensional generalizations.

• YouTube
• 46 minutes
• On-Demand
• Free Video

Insights into Mathematics

The Fundamental Theorem of Algebra - Challenging Mathematical Orthodoxy

Challenging the Fundamental Theorem of Algebra: Exploring its limitations, implications for calculus and linear algebra, and the need for a more accurate formulation in rational numbers.

• YouTube
• 23 minutes
• On-Demand
• Free Video

Applied Algebraic Topology Network

Using Topology to Study the Geometry of Neural Correlations

Explore how topology and persistent homology uncover hidden structures in neural data, focusing on Betti curves and their applications in analyzing hippocampal, olfactory, and zebrafish brain activity.

• YouTube
• 1 hour 8 minutes
• On-Demand
• Free Video

Wrath of Math

Orthogonal Diagonalization Explained - Linear Algebra

Explore orthogonal diagonalization in linear algebra, covering symmetric matrices, eigenvectors, and the Gram-Schmidt process. Includes step-by-step examples and proofs of key theorems.

• YouTube
• 17 minutes
• On-Demand
• Free Video

Simons Institute

Algorithms for Large-Scale Eigenvalue Problems

Explore algorithms for computing eigenvalue subsets in large matrices, from power methods to Lanczos/Arnoldi techniques, with focus on symmetric vs nonsymmetric convergence challenges.

• YouTube
• 1 hour 12 minutes
• On-Demand
• Free Video