Difference between revisions of "SIAM Student Chapter Seminar"

From UW-Math Wiki
Jump to: navigation, search
(Abstracts)
 
(11 intermediate revisions by 2 users not shown)
Line 1: Line 1:
 
__NOTOC__
 
__NOTOC__
  
*'''When:''' Most Friday at 11:30am
+
*'''When:''' Every other Friday at 1:30 pm
*'''Where:''' 901 Van Vleck Hall
+
*'''Where:''' B333 Van Vleck Hall
 
*'''Organizers:''' [http://www.math.wisc.edu/~xshen/ Xiao Shen]
 
*'''Organizers:''' [http://www.math.wisc.edu/~xshen/ Xiao Shen]
 
*'''Faculty advisers:''' [http://www.math.wisc.edu/~jeanluc/ Jean-Luc Thiffeault], [http://pages.cs.wisc.edu/~swright/ Steve Wright]  
 
*'''Faculty advisers:''' [http://www.math.wisc.edu/~jeanluc/ Jean-Luc Thiffeault], [http://pages.cs.wisc.edu/~swright/ Steve Wright]  
Line 9: Line 9:
 
<br>
 
<br>
  
== Fall 2019 ==
+
== Spring 2020 ==
  
 
{| cellpadding="8"
 
{| cellpadding="8"
Line 16: Line 16:
 
!align="left" | title
 
!align="left" | title
 
|-
 
|-
|Sept. 27, Oct. 4
+
|Jan 31
|[http://www.math.wisc.edu/~xshen/ Xiao Shen] (Math)
+
|[https://lorenzonajt.github.io/ Lorenzo Najt] (Math)
|''[[#Sep 27, Oct 4: Xiao Shen (Math)|The corner growth model]]''
+
|''[[#Jan 31, Lorenzo Najt (Math)|Ensemble methods for measuring gerrymandering: Algorithmic problems and inferential challenges]]''
|-
 
|Oct. 11
 
|''no seminar''
 
|
 
|-
 
|-
 
|Oct. 18
 
|[https://scholar.google.com/citations?user=7cVl9IkAAAAJ&hl=en Bhumesh Kumar] (EE)
 
|''[[#Oct 18: Bhumesh Kumar (EE)|Non-stationary Stochastic Approximation]]''
 
|
 
|-
 
|-
 
|Oct. 25
 
|Max Bacharach (Math)
 
|''[[#Oct 25:|Coalescent with Recombination]]''
 
 
|-
 
|-
 
|-
 
|-
|Nov. 1
+
|Feb 14
|''no seminar''
+
|[https://www.math.wisc.edu/~pollyyu/ Polly Yu] (Math)
|
+
|''[[#Feb 14, Polly Yu (Math)|Algebra, Dynamics, and Chemistry with Delay Differential Equations]]''
 
|-
 
|-
 
|-
 
|-
|Nov. 8
 
|
 
 
|
 
|
 
|}
 
|}
Line 48: Line 31:
 
== Abstracts ==
 
== Abstracts ==
  
=== Sep 27, Oct 4: Xiao Shen (Math) ===
+
=== Jan 31, Lorenzo Najt (Math) ===
'''The corner growth model'''
+
'''Ensemble methods for measuring gerrymandering: Algorithmic problems and inferential challenges'''
 
 
Imagine there is an arbitrary amount of donuts attached to the integer points of Z^2. The goal is to pick an optimal up-right path which allows you to eat as much donuts as possible along the way. We will look at some basic combinatorial observations, and how specific probability distribution would help us to study this model.
 
 
 
=== Oct 18: Bhumesh Kumar (EE) ===
 
'''Non-stationary Stochastic Approximation'''
 
 
 
Abstract: Robbins–Monro pioneered a general framework for stochastic approximation to find roots of a function with just noisy evaluations.With applications in optimization, signal processing and control theory there is resurged interest in time-varying aka non-stationary functions. This works addresses that premise by providing explicit, all time, non-asymptotic tracking error bounds via Alekseev's nonlinear variations of constant formula.
 
 
 
Reference: https://arxiv.org/abs/1802.07759 (To appear in Mathematics of Control, Signals and Systems)
 
 
 
=== Oct 25: Max (Math) ===
 
'''Coalescent with Recombination'''
 
  
I will talk about the continuous time coalescent with mutation and recombination, with a focus on introducing key concepts related to genetic distance and evolutionary relatedness. The talk will be informal and accessible.
+
We will review some recent work regarding measuring gerrymandering by sampling from the space of maps, including two methods used in a recent amicus brief to the supreme court. This discussion will highlight some of the computational challenges of this approach, including some complexity-theory lower bounds and bottlenecks in Markov chains. We will examine the robustness of these statistical methods through their connection to phase transitions in the self-avoiding walk model, as well as their dependence on artifacts of discretization. This talk is largely based on https://arxiv.org/abs/1908.08881
  
 +
=== Feb 14, Polly Yu (Math) ===
 +
'''Algebra, Dynamics, and Chemistry with Delay Differential Equations'''
  
=== Nov 15: Hongfei Chen (Math) ===
+
Delay differential equations (DDEs) can exhibit more complicated behavior than their ODE counterparts. What is stable in the ODE setting could exhibit oscillation in DDE. Where do delay equations show up anyway? In this talk, we’ll introduce DDEs, and how (sort-of-)linear algebra gives information about the stability of DDEs.
'''Brownian swimmers in a channel'''
 
  
Abstract: Shape matters! I will talk about how their shapes affect their mean reversal time.
 
 
<br>
 
<br>
  
 
== Past Semesters ==
 
== Past Semesters ==
 +
*[[SIAM_Student_Chapter_Seminar/Fall2019|Fall 2019]]
 
*[[SIAM_Student_Chapter_Seminar/Fall2018|Fall 2018]]
 
*[[SIAM_Student_Chapter_Seminar/Fall2018|Fall 2018]]
 
*[[SIAM_Student_Chapter_Seminar/Spring2017|Spring 2017]]
 
*[[SIAM_Student_Chapter_Seminar/Spring2017|Spring 2017]]

Latest revision as of 11:11, 13 February 2020


  • When: Every other Friday at 1:30 pm
  • Where: B333 Van Vleck Hall
  • Organizers: Xiao Shen
  • Faculty advisers: Jean-Luc Thiffeault, Steve Wright
  • To join the SIAM Chapter mailing list: email [join-siam-chapter@lists.wisc.edu].


Spring 2020

date speaker title
Jan 31 Lorenzo Najt (Math) Ensemble methods for measuring gerrymandering: Algorithmic problems and inferential challenges
Feb 14 Polly Yu (Math) Algebra, Dynamics, and Chemistry with Delay Differential Equations

Abstracts

Jan 31, Lorenzo Najt (Math)

Ensemble methods for measuring gerrymandering: Algorithmic problems and inferential challenges

We will review some recent work regarding measuring gerrymandering by sampling from the space of maps, including two methods used in a recent amicus brief to the supreme court. This discussion will highlight some of the computational challenges of this approach, including some complexity-theory lower bounds and bottlenecks in Markov chains. We will examine the robustness of these statistical methods through their connection to phase transitions in the self-avoiding walk model, as well as their dependence on artifacts of discretization. This talk is largely based on https://arxiv.org/abs/1908.08881

Feb 14, Polly Yu (Math)

Algebra, Dynamics, and Chemistry with Delay Differential Equations

Delay differential equations (DDEs) can exhibit more complicated behavior than their ODE counterparts. What is stable in the ODE setting could exhibit oscillation in DDE. Where do delay equations show up anyway? In this talk, we’ll introduce DDEs, and how (sort-of-)linear algebra gives information about the stability of DDEs.


Past Semesters