This talk will be about the non-backtracking matrix of a graph. I will review recent works on its spectral properties for random graphs and concentrate on its algorithmic applications. Notably I will talk about optimality of the corresponding spectral algorithm for clustering of sparse networks and for analysis of percolation on sparse networks....
Creator:
Zdeborova, Lenka (Centre National de la Recherche Scientifique (CNRS))
Created:
2015-05-19
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Energy networks are becoming increasingly decentralized and exhibit new forms of coupling. For instance, during the polar vortex of 2014, sustained low temperatures in the Midwest region of the U.S. resulted in unusually high gas demands from buildings in urban areas. This led to shortages of natural gas that propagated to California, Massachuse...
Creator:
Zavala, Victor M. (University of Wisconsin, Madison)
Created:
2016-05-11
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
We review applications and algorithmic challenges of Gaussian Process (GP) modeling. GP is a powerful and flexible uncertainty quantification and data analysis technique that enables the construction of complex models without the need to specify algebraic relationships between variables. This is done by working directly in the space of the kerne...
Creator:
Zavala, Victor M. (Argonne National Laboratory)
Created:
2013-06-12
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Cartographic Details: Scale not given (E 25°--W 165°/N 78°--S 10°). Relief shown pictorially."Questa carta eá un poá differente dalle precedenti per l'ultime scoperte al N.E. dell' Asia e nell' Oceano Pacifico. Essendo il Mar Caspio descritto con molto divario nell' altre carte; per istabilirne l'esata posizione ci siamo serviti del Passaggio ...
Creator:
Zatta, Antonio, active 1757-1797
Created:
1777
Contributed By:
University of Minnesota Libraries, John R. Borchert Map Library.
Most supervised machine learning algorithms assume that each training data point is paired with an accurate training label (for classification) or value (for regression). However, obtaining accurate training label information is often time consuming and expensive, making it infeasible for large data sets, or may simply be impossible to provide g...
Creator:
Zare, Alina (University of Florida)
Created:
2018-10-26
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
The first generation of theories and computer simulations of liquid crystals have made drastic and often contrasting assumptions on the model representation of constituent mesogens and on the type of intermolecular interactions (e.g purely attractive in Maier-Saupe type and purely hard repulsions in Onsager models). Computer simulations of liqui...
Creator:
Zannoni, Claudio (Universita Di Bologna)
Created:
2018-01-17
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Predicting realistic morphologies and molecular organizations from chemical structure is far from easy and indeed has only recently proved doable by atomistic molecular dynamics. The issue is further complicated in thin films, where the material is strongly affected by surface interactions, even if obtaining information on alignment and anchorin...
Creator:
Zannoni, Claudio (Universita Di Bologna)
Created:
2018-03-01
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
The ocean contains a vigorous mesoscale eddy field with spatial scales of approximately 10 to 100km, evolving over time scales from weeks to months. These eddies are important in establishing the ocean's circulation and tracer properties. Grid spacing of roughly 10 km and smaller are necessary to properly simulate the eddy field, therefore ocean...
Creator:
Zanna, Laure (University of Oxford)
Created:
2013-03-15
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
