# Upcoming Events

Scientific, Seminar

UW Combinatorics and Geometry Seminar: Foster Tom

November 13, 2024

University of Washington

We prove a new signed elementary symmetric function expansion of the chromatic symmetric function. We then use sign-reversing involutions to prove e -positivity for graphs formed by joining cycles or cliques at single vertices. By considering...

Scientific, Colloquia

PIMS Network Wide Colloquium: Pamela Harris

November 14, 2024

Online

Finding and enumerating Boolean intervals in $W(\mathfrak{S}_n)$, the weak order of symmetric group $\mathfrak{S}_n$, can feel like trying to find needles in a haystack. However, through surprising connection to the outcome map of parking functions...

Educational, Workshop

Math Circles

November 18, 2024

SWING 105

Students of grades 5 to 7 are invited to challenge and develop their thinking and creativity skills at the Math Circle Workshops. This is an enrichment program for students organized by the faculty members of the Department of Mathematics at the...

Scientific, Seminar

UBC Discrete Math Seminar: Andy Hsiao

November 19, 2024

University of British Columbia

TBA

Scientific, Seminar

UVictoria Discrete Math Seminar: Candida Bowtell

November 21, 2024

University of Victoria

TBA

Scientific, Seminar

SFU Number Theory and Algebraic Geometry Seminar: Rachel Ollivier

November 21, 2024

Simon Fraser University

TBA

Scientific, Seminar

UCalgary Algebra and Number Theory Seminar: Clifton Cunningham

November 21, 2024

Online

TBA

Scientific, Seminar

05C50 Online Seminar: Carla Oliveira

November 22, 2024

Online

Let G = (V, E) be a simple graph of order n. The adjacency matrix of G is denoted by A(G) = [a_ij], where a_ij=1 if {v_i ,v_j} âˆˆ E and a_ij=0, otherwise. The diagonal matrix of degrees of G, D(G) = [d_ij], is defined by d_ii=d(v_i), and d_ij=0, âˆ€ i...

Scientific, Distinguished Lecture

URegina-PIMS Distinguished Lecture: Shakhawat Hossain

November 22, 2024

University of Regina

In this talk, we consider the non-penalty shrinkage and pretest estimation methods for the regression parameters of the generalized log-logistic proportional hazards (PH) model. This model, a simple extension of the log-logistic model (which...

Educational, Workshop

Math Circles

November 25, 2024

SWING 105