Cartographic Details: Scale approximately 1:4,500,000?. Date from previously assigned call number; cataloger unable to confirm original source. Relief shown pictorially."75"--manuscript, upper right.
Creator:
Seutter, Matthaeus, 1678-1756
Created:
1690?
Contributed By:
University of Minnesota Libraries, John R. Borchert Map Library.
Parsimony, including sparsity and low rank, has been shown to successfully modeldata in numerous machine learning and signal processing tasks. Traditionally, suchmodeling approaches rely on an iterative algorithm that minimizes an objectivefunction with parsimony-promoting terms. The inherently sequential structure anddata-dependent complexity a...
Creator:
Sapiro, Guillermo R. (Duke University)
Created:
2013-09-23
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
With Braxton Osting, we have considered spectral optimization of point set configurations for adjacency matrices and graphs on two dimensional surfaces. We study both tori and spheres. I will discuss our results, show several numerical simulations and review open problems and interesting directions to take this line of research.
Creator:
Marzuola, Jeremy L (University of North Carolina, Chapel Hill)
Created:
2016-12-13
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
I will present two different half-talks. In the first section, I will focus on the ideas behind replica exchange molecular dynamics, with an emphasis on improving efficiency by optimizing the time between attempted exchanges in Monte Carlo. In the second half, I will present a peculiarity of Langevin thermostats, which could cause substantially ...
Creator:
Roitberg, Adrian E. (University of Florida)
Created:
2009-01-15
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Oscillations of populations of neurons deep in the brain are thought to be responsible for some of the symptoms for Parkinson's Disease. Drugs and deep brain stimulation that re used to treat Parkinson's Disease suppress these oscillations. We have developed methods to measure how the oscillations are modulated by stimulation, to generate a phas...
Creator:
Netoff, Theoden (University of Minnesota, Twin Cities)
Created:
2015-11-20
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Submodular functions capture a variety of discrete problems in machine learning, signal processing and computer vision. In these areas, practical algorithms are a major concern. Luckily, the submodular functions occurring in practice often have additional structure that can be exploited for practically efficient optimization algorithms.One such ...
Creator:
Jegelka, Stefanie (Massachusetts Institute of Technology)
Created:
2015-02-24
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
This talk describes currently ongoing work related to optimal building control in which a range of computational challenges have to be addresseda) Stochastic Optimal Control of Mixed Mode Buildings Considering Occupant-Driven UncertaintyIn the first part of this presentation, we present a methodology for determining viable control rules for comm...
Creator:
Henze, Gregor P. (University of Colorado)
Created:
2013-06-13
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
In this series of lectures on continuous optimization, we introduce the area of optimizing over spaces of continuous variables, particularly vectors and matrices of real numbers. The talks will have an algorithmic focus, developing the theory necessary to describe the algorithms and understand their fundamental properties. After describing the l...
Creator:
Wright, Stephen (University of Wisconsin, Madison)
Created:
2016-08-01
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
