## Upcoming Events

## March 2019

## H.T. Banks, North Carolina State University, Population Models-The Prohorov Metric Framework and Aggregate Data Inverse Problems

We consider nonparametric estimation of probability measures for parameters in problems where only aggregate (population level) data are available. We summarize an existing computational method for the estimation problem which has been developed over the past several decades. Theoretical results…

Find out more## April 2019

## Alexander Kiselev, Duke University, Small scale formation in ideal fluids

The incompressible Euler equation of fluid mechanics describes motion of ideal fluid, and was derived in 1755. In two dimensions, global regularity of solutions is known, and double exponential in time upper bound on growth of the derivatives of solution…

Find out more## Wen Shen, Penn State University, Scalar Conservation Laws with Discontinuous and Regulated Flux

Conservation laws with discontinuous flux functions arise in various models. In this talk we consider solutions to a class of conservation laws with discontinuous flux, where the flux function is discontinuous in both time and space, but regulated in the…

Find out more## Peter Wolenski, Louisiana State University, Fully convex Bolza problems with state constraints and impulses

In this talk, we shall review the Hamilton-Jacobi theory for A Fully Convex Bolza (FCB) problems when the data has no implicit state constraints and is coercive, in which case the minimizing class of arcs are Absolutely Continuous (AC).

Find out more## Boris Mordukhovich, Wayne State University, Criticality of Lagrange Multipliers in Conic Programming with Applications to Superlinear Convergence of SQP

His talk concerns the study of criticality of Lagrange multipliers in variational systems that have been recognized in both theoretical and numerical aspects of optimization and variational analysis. In contrast to the previous developments dealing with polyhedral KKT systems and…

Find out more## Oleksandr Misiats, Virginia Commonwealth University, Patterns around us: a calculus of variations prospective

Crumples in a sheet of paper, wrinkles on curtains, cracks in metallic alloys, and defects in superconductors are examples of patterns in materials. A thorough understanding of the underlying phenomenon behind the pattern formation provides a different prospective on the properties…

Find out more## August 2019

## Angot Philippe, Aix-Marseille Université, Mathematical modeling and analysis towards the open problem of flow at a fluid-porous interface

We discuss mathematical modeling and analysis of the incompressible viscous flow at the interface of permeable media. Very recently, a simplified theory with asymptotic modeling and related approximations was extensively developed by to provide physically relevant jump interface conditions for…

Find out more## Michele Palladino, GSSI, Italy, Modeling the root growth: an optimal control approach

In this talk we will propose a new framework to model control systems in which a dynamic friction occurs. In particular, such a framework is motivated by the study of the movement of a robotic root tip in the soil.…

Find out more## September 2019

## Kazufumi Ito, NC State, Optimal control of sate constrained PDEs system with Spars controls

In this talk we discuss a point-wise state constraint problem for a general class of PDEs optimal control problems and sparsity optimization. We use the penalty formulation and derive the necessary optimality condition based on the Lagrange multiplier theory.The existence of…

Find out more## Yulong Lu, Duke University, Understanding and accelerating statistical sampling algorithms: a PDE perspective

A fundamental problem in Bayesian inference and statistical machine learning is to efficiently sample from probability distributions. Standard Markov chain Monte Carlo methods could be prohibitively expensive due to various complexities of the target distribution, such as multimodality, high dimensionality, large datesets, etc.…

Find out more## October 2019

## Mikhail Klibanov, UNC Charlotte, Carleman Estimates for Globally Convergent Numerical Methods for Coefficient Inverse Problems

The ill-posedness and nonlinearity are two factors causing the phenomenon of multiple local minima and ravines of conventional least squares cost functionals for Coefficient Inverse Problems. Since any minimization method can stop at any point of a local minimum, then…

Find out more## Piermarco Cannarsa, University of Rome “Tor Vergata”, Bilinear control for evolution equations of parabolic type

Recently, in a series of joint papers with F. Alabau-Boussouira and C. Urbani, I have studied the response of an evolution equation on a Hilbert space to the action of a bilinear control. As is well-known, a bilinear control is…

Find out more## Cass Miller, UNC, Toward a New Generation of Models to Simulate Two-Fluid Flow in Porous Media

Two fluid flow in porous medium systems is an important application in many different areas of science and engineering. Overwhelmingly, it is necessary to mathematically model the behavior of applications of concern at an averaged scale where the juxtaposed position…

Find out more## November 2019

## Shan Gao, Beijing Institute of Technology, Discrete Geometrically-Exact Beams

A geometrically-exact beam is a nonlinear field-theoretic model for elongated elastic objects. It utilizes moving frames to reduce the number of system’s independent spatial variables, which is a further development of Euler’s approach to the rotational dynamics of rigid bodies.…

Find out more## March 2020

## Rossana Capuani, Metric entropy for functions of bounded total generalized variation

We establish a sharp estimate for a minimal number of binary digits (bits) needed to represent all bounded total generalized variation functions taking values in a general totally bounded metric space (E, ρ) up to an accuracy of epsilon >…

Find out more## CANCELED: Christopher K Jones, UNC, How far the dynamical systems perspective be pushed for studying nonlinear waves and patterns in multi-dimensions?

Geometric dynamical systems ideas have been very successful in determining traveling and standing waves in one space dimension. Techniques that have proved important for their existence and stability include geometric singular perturbation theory, Lin’s Method, the Evans Function and the…

Find out more## CANCELED: Hung Tran, University of Wisconsin Madison, Coagulation-Fragmentation equations with multiplicative coagulation kernel and constant fragmentation kernel

We study a critical case of Coagulation-Fragmentation equations with multiplicative coagulation kernel and constant fragmentation kernel. Our method is based on the study of viscosity solutions to a new singular Hamilton-Jacobi equation, which results from applying the Bernstein transform to…

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