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Boeing Colloquium Using Computational Sampling To Quantify Gerrymandering Information Guide

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About to Boeing Colloquium Using Computational Sampling To Quantify Gerrymandering

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Details MAT341 (Computational Mathematics): Visualization of Gerrymandering via Monte Carlo & Random Walks Guide
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Recent Updates

Full Boeing Colloquium: A Mathematical Guide to Operator Learning Update
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Score-Based Generative Modeling without Diffusion: Langevin MCMC All the Way
Score-Based Generative Modeling without Diffusion: Langevin MCMC All the Way
On the computational tractability of a geographic clustering problem arising in redistricting
On the computational tractability of a geographic clustering problem arising in redistricting
Boeing Colloquium: Randomized Algorithms for Linear Algebraic Computations
Boeing Colloquium: Randomized Algorithms for Linear Algebraic Computations
Boeing Colloquium: Mathematical Modeling from Kindergarten to Industry
Boeing Colloquium: Mathematical Modeling from Kindergarten to Industry
Sampling from the Sherrington-Kirkpatrick model up to β<1/2
Sampling from the Sherrington-Kirkpatrick model up to β<1/2
Monte Carlo Seminar| Guan-Horng Liu|Sampling with Schrödinger Bridge—An Adjoint-Matching Perspective
Monte Carlo Seminar| Guan-Horng Liu|Sampling with Schrödinger Bridge—An Adjoint-Matching Perspective
Statistical Techniques for Detecting Partisan Gerrymandering // INFORMS 2020
Statistical Techniques for Detecting Partisan Gerrymandering // INFORMS 2020
Boeing Colloquium:  Computational Hypergraph Discovery, a framework for connecting the dots
Boeing Colloquium: Computational Hypergraph Discovery, a framework for connecting the dots
Boeing Colloquium: Augmented Methods for Stokes-Darcy FSI Problems & HOC Schemes for Flux Type BCs
Boeing Colloquium: Augmented Methods for Stokes-Darcy FSI Problems & HOC Schemes for Flux Type BCs
Boeing Colloquium: Developing high order, efficient, and stable time-evolution methods
Boeing Colloquium: Developing high order, efficient, and stable time-evolution methods
Gathering data, measuring gerrymandering: the Districting Data REU
Gathering data, measuring gerrymandering: the Districting Data REU

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Last Updated: August 20, 2026

Final Thoughts

Full MCMC Sampling Around Redistricting and Gerrymandering News
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