Seminar

Thursday, November 9, 2017 3:30 pm - 3:30 pm EST (GMT -05:00)

Algebraic Graph Theory Seminar - Harmony Zhan

Title: An Introduction to Discrete Quantum Walks

Speaker: Harmony Zhan
Affiliation: University of waterloo
Room: MC 6486

Abstract:

We will introduce the concept of a discrete quantum walk, prove some of its properties, discuss its relation to different graph structures, and construct interesting walks from these structures such as self-dual embeddings.

Friday, November 10, 2017 3:30 pm - 3:30 pm EST (GMT -05:00)

Tutte Colloquium - Shenwei Huang

Title: Coloring (cap even hole)-free graphs

Speaker: Shenwei Huang
Affiliation: Wilfrid Laurier University
Room: MC 5501

Abstract:

An even cycle of length 4 or more is called an even hole. A cap is a cycle of length at least 5 with exactly one chord and that chord creates a triangle with the cycle. In this talk we consider (cap, even hole)-free graphs, i.e., graphs that do not contain any even hole or cap as an induced subgraph.

Wednesday, November 1, 2017 4:00 pm - 4:00 pm EDT (GMT -04:00)

Continuous Optimization Seminar - Ryan Kinnear

Title: A Stochastic Gradient Method with an Exponential Convergence Rate for Finite Training Sets

Speaker: Ryan Kinnear
Affiliation: University of Waterloo
Room: MC 5479

Abstract:

We will be discussing the paper (having the same title) by Roux, Schmidt, and Bach.  The authors propose a new stochastic gradient method for optimizing the sum of
 a finite set of smooth functions, where the sum is strongly convex.


Friday, November 3, 2017 3:30 pm - 3:30 pm EDT (GMT -04:00)

Tutte Colloquium - Laurent Poirrier

Title: How we solve linear programs

Speaker: Laurent Poirrier
Affiliation: University of Waterloo
Room: MC 5501

Abstract:

Linear programming is one of the most fundamental tools in optimization, and its theoretical complexity is well understood. In practice though, things are quite different: Which types of problems can we really solve? What sizes? With what algorithms?

Wednesday, October 25, 2017 4:00 pm - 4:00 pm EDT (GMT -04:00)

Continuous Optimization Seminar - Julian Romero

Title: Coordinate Descent Algorithms

Speaker: Julian Romero
Affiliation: University of Waterloo
Room: MC 5479

Abstract:

We will be discussing the survey of Stephen J. Wright on coordinate descent algorithms. Coordinate descent algorithms solve optimization problems by successively performing approximate minimization along coordinate directions or coordinate hyperplanes. They have been used in applications for many years, and their popularity continues to grow because of their usefulness in data analysis, machine learning, and other areas of current interest.

Thursday, October 26, 2017 3:30 pm - 3:30 pm EDT (GMT -04:00)

Algebraic Graph Theory Seminar - Chris Godsil

Title: Progress on Continuous Quantum Walks

Speaker: Chris Godsil
Affiliation: University of Waterloo
Roon: MC 6486

Abstract:

I will discuss the progress we’ve made in our work on continuous walks. I will start with old stuff (last November) and continue on to current stuff (this week).

Friday, October 27, 2017 3:30 pm - 3:30 pm EDT (GMT -04:00)

Tutte Colloquium - Chi Kwong Li

Title: Some matrix problems in quantum information science

Speaker: Chi-Kwong Li
Affiliation: College of William and Mary, IQC
Room: MC 5501

Abstract:

In this talk, we present  some matrix results and techniques in solving certain optimization problems arising  in quantum information science.

No quantum mechanics background is required.

Friday, October 20, 2017 3:30 pm - 3:30 pm EDT (GMT -04:00)

Tutte Colloquium - Tsz Chiu Kwok

Title: The Paulsen problem, continuous operator scaling, and smoothed analysis

Speaker: Tsz Chiu Kwok
Affiliation: University of Waterloo
Room: MC 5501

Abstract:

The Paulsen problem is a basic open problem in operator theory: Given vectors u1, ..., un in Rd that are eps-nearly satisfying the Parseval's condition and the equal norm condition, is it close to a set of vectors v1, ..., vn in Rd that exactly satisfy the Parseval's condition and the
equal norm condition? Given u1,..., un, we consider the squared distance to the set of exact solutions.