Â鶹APP

Multilevel Monte Carlo Metamodeling

Event Topic: Computational Mathematics & Statistics

Hydra Number of Graphs

Speaker Despina Stasi IIT Applied Math http://www.personal.psu.edu/~users/d/u/dus33/ Description In this talk we define and discuss the hydra number, a graph parameter arising from an optimization...

What Do Sudoku and Turbulence Have in Common?

SpeakerZoltan ToroczkaiPhysics Department;University of Notre Damehttp://obelix.phys.nd.edu/~toro/ Description The mathematical structure of many number puzzles such as Sudoku is akin to hard...

Graphs with χ = Δ have Big Cliques

Speaker Dan Cranston Virginia Commonwealth University http://www.people.vcu.edu/~dcranston/ Description Let G be a graph with maximum degree Δ ≥3. Brooks' Theorem says that if G has chromatic number Δ...

Introduction to hypothesis testing for contingency tables

Description Introduction to hypothesis testing for contingency tables. (Based on the material from sections 1.1 and 1.2 from ``Lectures on Algebraic Statistics"; book available electronically through...

The Search for New Physics Using Rare Particle Decays

Hypothesis testing for stochastic PDEs driven by additive noise. PART 2

Event Topic: Computational Mathematics & Statistics

Active Learning: Past, Present, and Future

SpeakerMustafa BilgicDepartment of Computer Science;Illinois Institute of Technologyhttp://www.cs.iit.edu/~mbilgic/ Description A fundamental task of machine learning is prediction, where a model is...

Hypothesis testing for stochastic PDEs driven by additive noise. PART 1

Event Topic: Computational Mathematics & Statistics

Introduction to group testing design matrices

Speaker Robert Ellis IIT Applied Math http://math.iit.edu/~rellis/ Description The point of group testing is to reduce the cost of finding defective items in a population by testing pools if items...