Media Summary: Talk by Theo McKenzie. The spectral theory of regular graphs has broad applications in theoretical computer science, statistical ... Talk by Eric Culver. The parameter q(G) of a graph G is the minimum number of distinct Recorded 27 February 2025. Theo McKenzie of Stanford University presents "

Agt Precise Eigenvalue Location For - Detailed Analysis & Overview

Talk by Theo McKenzie. The spectral theory of regular graphs has broad applications in theoretical computer science, statistical ... Talk by Eric Culver. The parameter q(G) of a graph G is the minimum number of distinct Recorded 27 February 2025. Theo McKenzie of Stanford University presents " Talk by Gabriel Coutinho. In its original proof, Hoffman's well known lower bound to the chromatic number is obtained after ... Speaker: Jephian C.-H. Lin We often encounter matrices whose pattern (zero-nonzero, or sign) is known while the Talk by Shahla Nasserasr. For a graph G, the class of real-valued symmetric matrices whose zero-nonzero pattern of off-diagonal ...

Talk by Shengtong Zhang. I will share some recent progress on two long-standing conjectures in spectral graph theory, namely ... Talk by Qianqian Yang. Let λ ≥ 2 be an integer. For strongly regular graphs with parameters (v, k, a, c) and fixed smallest ... Don't miss out! Get FREE access to my Skool community — packed with resources, tools, and support to help you with Data, ... Talk by Shaun Fallat. Given a simple graph G=(\{1,\ldots, n},E), we consider the class S(G) of real symmetric n \times n matrices ...

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AGT: Precise Eigenvalue Location for Random Regular Graphs
AGT: Two Distinct Eigenvalues from a New Graph Product
Theo McKenzie - Precise Eigenvalue Location for Random Regular Graphs - IPAM at UCLA
AGT: Optimizing sums of eigenvalues
AGT: Inverse eigenvalue problem of a graph
AGT: Distinct Eigenvalues and Sensitivity
AGT: Simple eigenvalues of graphs
AGT: Squares of eigenvalues and semi-definite optimization
AGT:  On sesqui-regular graphs with fixed smallest eigenvalue
Eigenanalysis in Python: How to Compute Eigenvalues and Eigenvectors with Numpy
AGT: Graphs that admit Orthogonal matrices
Eigenvectors and eigenvalues | Chapter 14, Essence of linear algebra
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AGT: Precise Eigenvalue Location for Random Regular Graphs

AGT: Precise Eigenvalue Location for Random Regular Graphs

Talk by Theo McKenzie. The spectral theory of regular graphs has broad applications in theoretical computer science, statistical ...

AGT: Two Distinct Eigenvalues from a New Graph Product

AGT: Two Distinct Eigenvalues from a New Graph Product

Talk by Eric Culver. The parameter q(G) of a graph G is the minimum number of distinct

Theo McKenzie - Precise Eigenvalue Location for Random Regular Graphs - IPAM at UCLA

Theo McKenzie - Precise Eigenvalue Location for Random Regular Graphs - IPAM at UCLA

Recorded 27 February 2025. Theo McKenzie of Stanford University presents "

AGT: Optimizing sums of eigenvalues

AGT: Optimizing sums of eigenvalues

Talk by Gabriel Coutinho. In its original proof, Hoffman's well known lower bound to the chromatic number is obtained after ...

AGT: Inverse eigenvalue problem of a graph

AGT: Inverse eigenvalue problem of a graph

Speaker: Jephian C.-H. Lin We often encounter matrices whose pattern (zero-nonzero, or sign) is known while the

AGT: Distinct Eigenvalues and Sensitivity

AGT: Distinct Eigenvalues and Sensitivity

Talk by Shahla Nasserasr. For a graph G, the class of real-valued symmetric matrices whose zero-nonzero pattern of off-diagonal ...

AGT: Simple eigenvalues of graphs

AGT: Simple eigenvalues of graphs

Talks by Krystal Guo. If v is an

AGT: Squares of eigenvalues and semi-definite optimization

AGT: Squares of eigenvalues and semi-definite optimization

Talk by Shengtong Zhang. I will share some recent progress on two long-standing conjectures in spectral graph theory, namely ...

AGT:  On sesqui-regular graphs with fixed smallest eigenvalue

AGT: On sesqui-regular graphs with fixed smallest eigenvalue

Talk by Qianqian Yang. Let λ ≥ 2 be an integer. For strongly regular graphs with parameters (v, k, a, c) and fixed smallest ...

Eigenanalysis in Python: How to Compute Eigenvalues and Eigenvectors with Numpy

Eigenanalysis in Python: How to Compute Eigenvalues and Eigenvectors with Numpy

Don't miss out! Get FREE access to my Skool community — packed with resources, tools, and support to help you with Data, ...

AGT: Graphs that admit Orthogonal matrices

AGT: Graphs that admit Orthogonal matrices

Talk by Shaun Fallat. Given a simple graph G=(\{1,\ldots, n},E), we consider the class S(G) of real symmetric n \times n matrices ...

Eigenvectors and eigenvalues | Chapter 14, Essence of linear algebra

Eigenvectors and eigenvalues | Chapter 14, Essence of linear algebra

A visual understanding of eigenvectors,

A quick trick for computing eigenvalues | Chapter 15, Essence of linear algebra

A quick trick for computing eigenvalues | Chapter 15, Essence of linear algebra

How to write the