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Now showing items 399418 of 1942

Deciding NonFreeness of Rational Möbius Groups
[OWP202207] (Mathematisches Forschungsinstitut Oberwolfach, 20220322)We explore a new computational approach to a classical problem: certifying nonfreeness of (2generator, parabolic) Möbius subgroups of SL(2, $\mathbb{Q}$). The main tools used are algorithms for Zariski dense groups and ... 
Deep Learning and Inverse Problems
[SNAP2019015EN] (Mathematisches Forschungsinstitut Oberwolfach, 20191121)Big data and deep learning are modern buzz words which presently infiltrate all fields of science and technology. These new concepts are impressive in terms of the stunning results they achieve for a large variety of ... 
2110b  Deep Learning for Inverse Problems (hybrid meeting)
[OWR202113] (2021)  (07 Mar  13 Mar 2021)Machine learning and in particular deep learning offer several datadriven methods to amend the typical shortcomings of purely analytical approaches. The mathematical research on these combined models is presently exploding ... 
1643  Definability and Decidability Problems in Number Theory
[OWR201649] (2016)  (23 Oct  29 Oct 2016)This workshop brought together experts working on variations of Hilbert’s Tenth Problem and more general decidability issues for structures other than the ring of integers arising naturally in number theory and algebraic geometry. 
Definable orthogonality classes in accessible categories are small
[OWP201114] (Mathematisches Forschungsinstitut Oberwolfach, 20110515)We lower substantially the strength of the assumptions needed for the validity of certain results in category theory and homotopy theory which were known to follow from Vopenka's principle. We prove that the necessary ... 
Deformation Classification of Real NonSingular Cubic Threefolds with a Marked Line
[OWP201802] (Mathematisches Forschungsinstitut Oberwolfach, 20180221)We prove that the space of pairs $(X,l)$ formed by a real nonsingular cubic hypersurface $X\subset P^4$ with a real line $l\subset X$ has 18 connected components and give for them several quite explicit interpretations. ... 
1039  Deformation Methods in Mathematics and Physics
[OWR201043] (2010)  (26 Sep  01 Oct 2010)Deformations of mathematical structures play an important role in most parts of mathematics but also in theoretical physics. In this interdisciplinary workshop, different aspects of deformations and their applications were ... 
0603  Deformations and Contractions in Mathematics and Physics
[OWR20063] (2006)  (15 Jan  21 Jan 2006)Deformations of mathematical structures are not only important in most parts of mathematics but also to a large extend in physics. Contractions are in some respect dual to deformations. The workshop brought together world ... 
A Deformed Quon Algebra
[OWP201811] (Mathematisches Forschungsinstitut Oberwolfach, 20180625)The quon algebra is an approach to particle statistics in order to provide a theory in which the Pauli exclusion principle and Bose statistics are violated by a small amount. The quons are particles whose annihilation and ... 
Demailly’s Notion of Algebraic Hyperbolicity: Geometricity, Boundedness, Moduli of Maps
[OWP201820] (Mathematisches Forschungsinstitut Oberwolfach, 20181008)Demailly's conjecture, which is a consequence of the GreenGriffithsLang conjecture on varieties of general type, states that an algebraically hyperbolic complex projective variety is Kobayashi hyperbolic. Our aim is to ... 
Demailly’s Notion of Algebraic Hyperbolicity: Geometricity, Boundedness, Moduli of Maps (Revised Edition)
[OWP201820.2] (Mathematisches Forschungsinstitut Oberwolfach, 20200123)Demailly's conjecture, which is a consequence of the GreenGriffthsLang conjecture on varieties of general type, states that an algebraically hyperbolic complex projective variety is Kobayashi hyperbolic. Our aim is to ... 
Describing distance: from the plane to spectral triples
[SNAP2021009EN] (Mathematisches Forschungsinstitut Oberwolfach, 20211231)Geometry draws its power from the abstract structures that govern the shapes found in the real world. These abstractions often provide deeper insights into the underlying mathematical objects. In this snapshot, we give a ... 
2207b  Descriptive Combinatorics, LOCAL Algorithms and Random Processes
[OWR20228] (2022)  (13 Feb  19 Feb 2022)The aim of this miniworkshop was to discover and deepen connections between the fields of descriptive combinatorics, distributed computing and random processes. The common link is played by the socalled local coloring ... 
1346  Design and Analysis of Infectious Disease Studies
[OWR201355] (2013)  (10 Nov  16 Nov 2013)The fourth workshop on this theme is devoted to the statistical problems of planning and analyzing studies in infectious disease epidemiology. 
1808  Design and Analysis of Infectious Disease Studies
[OWR20187] (2018)  (18 Feb  24 Feb 2018)This was the fifth workshop on mathematical and statistical methods on the transmission of infectious diseases. Building on epidemiologic models which were the subject of earlier workshops, this workshop concentrated on ... 
0945  Design and Analysis of Infectious Disease Studies
[OWR200948] (2009)  (01 Nov  07 Nov 2009)This workshop gathered 45 participants from 16 countries and had a correspondingly multifaceted program covering various infectious diseases, public health applications, and methodological innovations. The discussions and ... 
9948  Design and Analysis of Infectious Disease Studies
[TB199946] (1999)  (28 Nov  04 Dec 1999) 
0443  Design and Analysis of Infectious Disease Studies
[OWR200449] (2004)  (17 Oct  23 Oct 2004) 
2308  Design and Analysis of Infectious Disease Studies
[OWR20238] (2023)  (19 Feb  25 Feb 2023)This was the sixth workshop on mathematical and statistical methods for the transmission of infectious diseases. Building on epidemiologic models which were the subject of earlier workshops, this workshop concentrated on ... 
Detecting Ineffective Features for Pattern Recognition
[OWP201726] (Mathematisches Forschungsinstitut Oberwolfach, 20171017)For a binary classification problem, the hypothesis testing is studied, that a component of the observation vector is not effective, i.e., that component carries no information for the classification. We introduce nearest ...