Algebraic Geometry and Discrete Periodic OperatorsMathematics·Research Seminar·Number Theory & Abstract Algebra · Frank Sottile · Texas A&M UniversityFrank SottileTexas A&M University—46:06
Nodal Geometry and Perturbations of the Laplace-Beltrami OperatorMathematics·Research Seminar·Linear Algebra · Soumyajit Saha · University of Strasbourg (IRMA)Soumyajit SahaIRUniversity of Strasbourg (IRMA)—49:35
Resonances on Geometrically Finite Graphs and BuildingsMathematics·Research Seminar·Combinatorics & Graph Theory · Tobias Weich · Paderborn UniversityTobias WeichPUPaderborn University—48:56
Extremal Steklov eigenvalues, free boundary minimal surfaces, and graph realizationsMathematics·Research Seminar·Combinatorics & Graph Theory · Braxton Osting · UC BerkeleyBraxton OstingUC Berkeley—46:20
Nodal surplus and the spectral decomposition of the cycle spaceMathematics·Research Seminar·Combinatorics & Graph Theory · Graham Cox · UC BerkeleyGraham CoxUC Berkeley—53:15
Maximizing algebraic connectivity for graphs of given order and size.Mathematics·Research Seminar·Combinatorics & Graph Theory · Sebastian Cioaba · UC BerkeleySebastian CioabaUC Berkeley—38:25
Graphs versus Manifolds in Eigenvalues and Distances Between SubsetsMathematics·Research Seminar·Linear Algebra · Joel Friedman · UC BerkeleyJoel FriedmanUC Berkeley—51:45
Eigenvectors and Eigenvalues: Geometric Intuition (Essence of Linear Algebra, Chapter 14)Mathematics·Public Colloquium·Eigenvalues & Spectral Theory · Grant Sanderson · 3Blue1BrownGrant Sanderson3Blue1Brown—17:15
Eigenvalues and Eigenvectors18.06 · Linear Algebra · Lec 20·Eigenvalues & Spectral Theory · Gilbert Strang · MITGilbert StrangMIT—51:23
The Uncountabality of the Real Numbers18.100A · Real Analysis · Lec 6·Linear Algebra · Casey Rodriguez · MITCasey RodriguezMIT—1:21:41
Computing Eigenvalues and Singular ValuesMatrix Methods in Data Analysis, Signal Processing, and Machine Learning · Lec 12·Eigenvalues & Spectral Theory · Gilbert Strang · MITGilbert StrangMIT—49:28
Eigenvalues and EigenvectorsMatrix Methods in Data Analysis, Signal Processing, and Machine Learning · Lec 4·Eigenvalues & Spectral Theory · Gilbert Strang · MITGilbert StrangMIT—48:55
Survey of Difficulties with Ax = bMatrix Methods in Data Analysis, Signal Processing, and Machine Learning · Lec 10·Eigenvalues & Spectral Theory · Gilbert Strang · MITGilbert StrangMIT—49:36
Positive Definite and Semidefinite MatricesMatrix Methods in Data Analysis, Signal Processing, and Machine Learning · Lec 5·Convex Optimization · Gilbert Strang · MITGilbert StrangMIT—45:27
Matrices A(t) Depending on t, Derivative = dA/dtMatrix Methods in Data Analysis, Signal Processing, and Machine Learning · Lec 15·Calculus & Analysis · Gilbert Strang · MITGilbert StrangMIT—50:52
Renormalization: Function Space and a Hands-On CalculationMAE 5790 · Nonlinear Dynamics and Chaos · Lec 22·Linear Algebra · Steven Strogatz · Cornell UniversitySteven StrogatzCornell University—1:08:32
One-Dimensional MapsMAE 5790 · Nonlinear Dynamics and Chaos · Lec 19·Linear Algebra · Steven Strogatz · Cornell UniversitySteven StrogatzCornell University—1:14:35
MAE5790-5 Two dimensional linear systemsMAE 5790 · Nonlinear Dynamics and Chaos · Lec 5·Linear Algebra · Steven Strogatz · Cornell UniversitySteven StrogatzCornell University—1:15:20
Countable and Uncountable SetsMATH 131 · Real Analysis · Lec 7·Linear Algebra · Francis Su · Harvey Mudd CollegeFrancis SuHarvey Mudd College—1:13:16
Cantor Diagonalization and Metric SpacesMATH 131 · Real Analysis · Lec 8·Linear Algebra · Francis Su · Harvey Mudd CollegeFrancis SuHarvey Mudd College—1:16:27