In this talk I will discuss some of the problems arising in connection with the dynamics of polymers under confinement (such as proteins traversing transmembrane pores). Confinement often partitions a polymer's configuration space into distinct basins of attraction separated by large free energy barriers. Because of the predominantly entropic na...
Creator:
Makarov, Dmitrii E. (The University of Texas at Austin)
Created:
2009-05-18
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
In this talk we present some recent new findings regarding optimal execution problems in an order-driven market where the limit order book (LOB) follows the so-called "equilibrium" model. More precisely, we argue that the "equilibrium utility function", which determines both the "shape" and the "frontier" of the LOB endogenously, is in fact the ...
Creator:
Ma, Jin (University of Southern California)
Created:
2018-06-11
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Many cities face the challenges of an increasing population and an increasing rate of private vehicle ownership. The resulting rise in congestion, lack of parking, and pollution cause complicated problems for cities. Data and analytics is the key part to solve the mobility challenge. It not only involves optimization algorithm, demand forecastin...
Creator:
Ma, Jiaqi (Ford Motor Company)
Created:
2017-05-15
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
An important emerging scientific issue in many practical problems ranging from climate and weather prediction to biological science involves the real time filtering and prediction through partial observations of noisy turbulent signals for complex dynamical systems with many degrees of freedom as well as the statistical accuracy of various strat...
Creator:
Majda, Andrew J. (New York University)
Created:
2011-04-13
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
This lecture is based on the following papers: 1. A. Majda and B. Gershgorin, 2010: Quantifying Uncertainty in Climate Change Science Through Empirical Information Theory, PNAS in press 2. A. Majda, R. Abramov, B. Gershgorin, 'High Skill in Low Frequency Climate Response through Fluctuation Dissipation Theorems Despite Structural Instability,' P...
Creator:
Majda, Andrew J. (New York University)
Created:
2010-10-19
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Geophysical flows are a rich source of novel problems for applied mathematics and the contemporary theory of partial differential equations. The reason for this is that many physically important geophysical flows involve complex nonlinear interaction over multi-scales in both time and space so developing simplified reduced models which are simpl...
Creator:
Majda, Andrew J. (New York University)
Created:
2011-04-11
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Spatial data arises in many scientific applications including image analysis and biomedical engineering. Spatial regression is an important statistical tool in dealing with spatial data interpolation and prediction. Modern applications, such as neuroimaging brings additional complexity of higher dimension and large data size. In this talk we wil...
Creator:
Maiti, Tapabrata (Taps) (Michigan State University)
Created:
2018-02-23
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
In this lecture, we will go beyond Friday's course on structured sparsity, andconsider more complex models. Recently, a large amount of research instatistics and signal processing has been devoted to developing structuredsparse regularization functions. The goal is to encode some a priori knowledgeabout an estimation problem in the regularizatio...
Creator:
Mairal, Julien (INRIA )
Created:
2013-06-22
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
We will discuss practical optimization algorithms for estimating sparse models,both from a statistics and a signal processing point of view. First, we willcover non-convex optimization techniques such as greedy algorithms andDC-programming. Second, we will focus on convex optimization: first-ordermethods, iterative reweighted least squares, and ...
Creator:
Mairal, Julien (INRIA )
Created:
2013-06-22
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
In the terahertz frequency range, the effective (complex-valued) surfaceconductivity of atomically thick 2D materials such as graphene has apositive imaginary part that is considerably larger than the real part.This feature allows for the propagation of slowly decaying electromagneticwaves, called surface plasmon-polaritons (SPPs), that are conf...
Creator:
Maier, Matthias (University of Minnesota, Twin Cities)
Created:
2017-04-13
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
The electric conductivity of atomically thick materials such as graphene yields an effective complex permittivity with a negative real part in the infrared spectrum. This feature allows for the propagation of slowly decaying electromagnetic waves, called surface plasmons-polaritons (SPPs), that are confined near the material interface with wavel...
Creator:
Maier, Matthias (University of Minnesota, Twin Cities)
Created:
2017-05-18
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Joint work with Dionisios Margetis (University of Maryland) and Mitchell Luskin (University of Minnesota).The electric conductivity of atomically thick materials such as graphene and black phosphorous yields an effective complex permittivity with a negative real part in the infrared spectrum. This feature allows for the propagation of slowly dec...
Creator:
Maier, Matthias (University of Minnesota, Twin Cities)
Created:
2016-12-15
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
![Atlas adminisratif [i.e. administratif] de la ville de Paris](https://dkp5i0hinw9br.cloudfront.net/9c568ec67290e1f09373d217d6a7e60e91df4661.png "Atlas adminisratif [i.e. administratif] de la ville de Paris")
