Now showing items 1368-1387 of 1720

    • 1325b - Quadratic Forms and Linear Algebraic Groups 

      [OWR-2013-31] (2013) - (16 Jun - 22 Jun 2013)
      Topics discussed at the workshop “Quadratic Forms and Linear Algebraic Groups” included besides the algebraic theory of quadratic and Hermitian forms and their Witt groups several aspects of the theory of linear algebraic ...
    • 1818 - Quadratic Forms and Related Structures over Fields 

      [OWR-2018-21] (2018) - (29 Apr - 05 May 2018)
      The range of topics discussed at the workshop “Quadratic Forms and Related Structures over Fields” included core themes from the algebraic theory of quadratic and hermitian forms and their Witt groups, several aspects of ...
    • 9920 - Quadratische und Hermitische Formen 

      [TB-1999-21] (1999) - (16 May - 22 May 1999)
    • 0645 - Qualitative Assumptions and Regularization in High-Dimensional Statistics 

      [OWR-2006-49] (2006) - (05 Nov - 11 Nov 2006)
      Important and exciting developments are currently underway in nonparametric statistics involving inter-play between qualitative constraints, penalization, and regularization methods. Some of these developments are taking ...
    • A Quantitative Analysis of the “Lion-Man” Game 

      [OWP-2019-18] Kohlenbach, Ulrich; López-Acedo, Genaro; Nicolae, Adriana (Mathematisches Forschungsinstitut Oberwolfach, 2019-07-08)
      In this paper we analyze, based on an interplay between ideas and techniques from logic and geometric analysis, a pursuit-evasion game. More precisely, we focus on a discrete lion and man game with an $\varepsilon$-capture ...
    • Quantities that frequency-dependent selection maximizes 

      [OWP-2008-18] Matessi, Carlo; Schneider, Kristian (Mathematisches Forschungsinstitut Oberwolfach, 2008-03-18)
      We consider a model of frequency-dependent selection, to which we refer as the Wildcard Model, that accommodates as particular cases a number of diverse models of biologically specific situations. Two very different ...
    • Quantum diffusion 

      [SNAP-2015-014-EN] Knowles, Antti (Mathematisches Forschungsinstitut Oberwolfach, 2015)
      If you place a drop of ink into a glass of water, the ink will slowly dissipate into the surrounding water until it is perfectly mixed. If you record your experiment with a camera and play the film backwards, you will see ...
    • Quantum symmetry 

      [SNAP-2020-005-EN] Weber, Moritz (Mathematisches Forschungsinstitut Oberwolfach, 2020-06-04)
      In mathematics, symmetry is usually captured using the formalism of groups. However, the developments of the past few decades revealed the need to go beyond groups: to “quantum groups”. We explain the passage from ...
    • Quotients of Index Two and General Quotients in a Space of Orderings 

      [OWP-2011-36] Gladki, Pawel; Marshall, Murray (Mathematisches Forschungsinstitut Oberwolfach, 2011-05-30)
      In this paper we investigate quotient structures and quotient spaces of a space of orderings arising from subgroups of index two. We provide necessary and sufficient conditions for a quotient structure to be a quotient ...
    • Random dynamics of transcendental functions 

      [OWP-2014-12] Mayer, Volker; Urbański, Mariusz (Mathematisches Forschungsinstitut Oberwolfach, 2014-08-20)
      This work concerns random dynamics of hyperbolic entire and meromorphic functions of finite order and whose derivative satisfies some growth condition at infinity. This class contains most of the classical families of ...
    • 0044 - Random Matrices 

      [TB-2000-43] (2000) - (29 Oct - 04 Nov 2000)
    • 1950 - Random Matrices 

      [OWR-2019-56] (2019) - (08 Dec - 14 Dec 2019)
      Large complex systems tend to develop universal patterns that often represent their essential characteristics. For example, the cumulative effects of independent or weakly dependent random variables often yield the Gaussian ...
    • 1118 - Random Matrices, Geometric Functional Analysis and Algorithms 

      [OWR-2011-24] (2011) - (01 May - 07 May 2011)
      The workshop gathered close to 50 participants on the topics of random matrix theory, high dimensional convex geometry and probabilistic methods in theoretical computer science. It favored cooperation between researchers ...
    • Random matrix theory: Dyson Brownian motion 

      [SNAP-2020-002-EN] Finocchio, Gianluca (Mathematisches Forschungsinstitut Oberwolfach, 2020-04-15)
      The theory of random matrices was introduced by John Wishart (1898–1956) in 1928. The theory was then developed within the field of nuclear physics from 1955 by Eugene Paul Wigner (1902–1995) and later by Freeman John ...
    • 0344 - Random Media 

      [TB-2003-47] (2003) - (26 Oct - 01 Nov 2003)
    • Random permutations 

      [SNAP-2019-007-EN] Betz, Volker (Mathematisches Forschungsinstitut Oberwolfach, 2019-07-12)
      100 people leave their hats at the door at a party and pick up a completely random hat when they leave. How likely is it that at least one of them will get back their own hat? If the hats carry name tags, how difficult ...
    • Random sampling of domino and lozenge tilings 

      [SNAP-2016-002-EN] Fusy, Éric (Mathematisches Forschungsinstitut Oberwolfach, 2016)
      A grid region is (roughly speaking) a collection of “elementary cells” (squares, for example, or triangles) in the plane. One can “tile” these grid regions by arranging the cells in pairs. In this snapshot we review different ...
    • 9935 - Random Systems 

      [TB-1999-35] (1999) - (29 Aug - 04 Sep 1999)
    • 0904 - Random Trees 

      [OWR-2009-3] (2009) - (18 Jan - 24 Jan 2009)
      The meeting was devoted to random trees, a central concept in mathematics that provides a key way of thinking about relationships between objects such as particles in a fluid, individuals in a population, or labels in a ...
    • Rate of Convergence of the Density Estimation of Regression Residual 

      [OWP-2012-08] Györfi, László; Walk, Harro (Mathematisches Forschungsinstitut Oberwolfach, 2012)
      Consider the regression problem with a response variable $Y$ and with a $d$-dimensional feature vector $X$. For the regression function $m(x) = \mathbb{E}\{Y|X = x\}$, this paper investigates methods for estimating the ...