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<title>2019</title>
<link>http://publications.mfo.de/handle/mfo/1404</link>
<description/>
<pubDate>Tue, 07 Apr 2026 23:54:55 GMT</pubDate>
<dc:date>2026-04-07T23:54:55Z</dc:date>
<item>
<title>Curvatura escalar positiva y aplicaciones</title>
<link>http://publications.mfo.de/handle/mfo/4125</link>
<description>Curvatura escalar positiva y aplicaciones
Rosenberg, Jonathan; Wraith, David
Introducimos la idea de curvatura, incluyendo su desarrollo histórico, y nos enfocamos en la curvatura escalar de una variedad. Uno de los temas principales de investigación actual es entender la curvatura escalar positiva. Discutiremos por qué es interesante y su relación con la teoría general de la relatividad.
</description>
<pubDate>Fri, 01 Jan 2021 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://publications.mfo.de/handle/mfo/4125</guid>
<dc:date>2021-01-01T00:00:00Z</dc:date>
<dc:creator>Rosenberg, Jonathan</dc:creator>
<dc:creator>Wraith, David</dc:creator>
<dc:description>Introducimos la idea de curvatura, incluyendo su desarrollo histórico, y nos enfocamos en la curvatura escalar de una variedad. Uno de los temas principales de investigación actual es entender la curvatura escalar positiva. Discutiremos por qué es interesante y su relación con la teoría general de la relatividad.</dc:description>
</item>
<item>
<title>Is it possible to predict the far future before the near future is known accurately?</title>
<link>http://publications.mfo.de/handle/mfo/3693</link>
<description>Is it possible to predict the far future before the near future is known accurately?
Gander, Martin J.
It has always been the dream of mankind to predict&#13;
the future. If the future is governed by laws&#13;
of physics, like in the case of the weather, one can&#13;
try to make a model, solve the associated equations,&#13;
and thus predict the future. However, to make accurate&#13;
predictions can require extremely large amounts&#13;
of computation. If we need seven days to compute&#13;
a prediction for the weather tomorrow and the day&#13;
after tomorrow, the prediction arrives too late and&#13;
is thus not a prediction any more. Although it may&#13;
seem improbable, with the advent of powerful computers&#13;
with many parallel processors, it is possible to&#13;
compute a prediction for tomorrow and the day after&#13;
tomorrow simultaneously. We describe a mathematical&#13;
algorithm which is designed to achieve this.
</description>
<pubDate>Wed, 18 Dec 2019 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://publications.mfo.de/handle/mfo/3693</guid>
<dc:date>2019-12-18T00:00:00Z</dc:date>
<dc:creator>Gander, Martin J.</dc:creator>
<dc:description>It has always been the dream of mankind to predict&#13;
the future. If the future is governed by laws&#13;
of physics, like in the case of the weather, one can&#13;
try to make a model, solve the associated equations,&#13;
and thus predict the future. However, to make accurate&#13;
predictions can require extremely large amounts&#13;
of computation. If we need seven days to compute&#13;
a prediction for the weather tomorrow and the day&#13;
after tomorrow, the prediction arrives too late and&#13;
is thus not a prediction any more. Although it may&#13;
seem improbable, with the advent of powerful computers&#13;
with many parallel processors, it is possible to&#13;
compute a prediction for tomorrow and the day after&#13;
tomorrow simultaneously. We describe a mathematical&#13;
algorithm which is designed to achieve this.</dc:description>
</item>
<item>
<title>The Interaction of Curvature and Topology</title>
<link>http://publications.mfo.de/handle/mfo/3692</link>
<description>The Interaction of Curvature and Topology
Kordaß, Jan-Bernhard
In this snapshot we will outline the mathematical&#13;
notion of curvature by means of comparison geometry.&#13;
We will then try to address questions as the ways in&#13;
which curvature might influence the topology of a&#13;
space, and vice versa.
</description>
<pubDate>Wed, 18 Dec 2019 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://publications.mfo.de/handle/mfo/3692</guid>
<dc:date>2019-12-18T00:00:00Z</dc:date>
<dc:creator>Kordaß, Jan-Bernhard</dc:creator>
<dc:description>In this snapshot we will outline the mathematical&#13;
notion of curvature by means of comparison geometry.&#13;
We will then try to address questions as the ways in&#13;
which curvature might influence the topology of a&#13;
space, and vice versa.</dc:description>
</item>
<item>
<title>The Mathematics of Fluids and Solids</title>
<link>http://publications.mfo.de/handle/mfo/3691</link>
<description>The Mathematics of Fluids and Solids
Kaltenbacher, Barbara; Kukavica, Igor; Lasiecka, Irena; Triggiani, Roberto; Tuffaha, Amjad; Webster, Justin
Fluid-structure interaction is a rich and active field&#13;
of mathematics that studies the interaction between&#13;
fluids and solid objects. In this short article, we give&#13;
a glimpse into this exciting field, as well as a sample&#13;
of the most significant questions that mathematicians&#13;
try to answer.
</description>
<pubDate>Wed, 18 Dec 2019 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://publications.mfo.de/handle/mfo/3691</guid>
<dc:date>2019-12-18T00:00:00Z</dc:date>
<dc:creator>Kaltenbacher, Barbara</dc:creator>
<dc:creator>Kukavica, Igor</dc:creator>
<dc:creator>Lasiecka, Irena</dc:creator>
<dc:creator>Triggiani, Roberto</dc:creator>
<dc:creator>Tuffaha, Amjad</dc:creator>
<dc:creator>Webster, Justin</dc:creator>
<dc:description>Fluid-structure interaction is a rich and active field&#13;
of mathematics that studies the interaction between&#13;
fluids and solid objects. In this short article, we give&#13;
a glimpse into this exciting field, as well as a sample&#13;
of the most significant questions that mathematicians&#13;
try to answer.</dc:description>
</item>
<item>
<title>A surprising connection between quantum mechanics and shallow water waves</title>
<link>http://publications.mfo.de/handle/mfo/3690</link>
<description>A surprising connection between quantum mechanics and shallow water waves
Fillman, Jake; VandenBoom, Tom
We describe a connection between quantum mechanics&#13;
and nonlinear wave equations and highlight a few&#13;
problems at the forefront of modern research in the&#13;
intersection of these areas.
</description>
<pubDate>Wed, 11 Dec 2019 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://publications.mfo.de/handle/mfo/3690</guid>
<dc:date>2019-12-11T00:00:00Z</dc:date>
<dc:creator>Fillman, Jake</dc:creator>
<dc:creator>VandenBoom, Tom</dc:creator>
<dc:description>We describe a connection between quantum mechanics&#13;
and nonlinear wave equations and highlight a few&#13;
problems at the forefront of modern research in the&#13;
intersection of these areas.</dc:description>
</item>
<item>
<title>Formation Control and Rigidity Theory</title>
<link>http://publications.mfo.de/handle/mfo/3689</link>
<description>Formation Control and Rigidity Theory
Zelazo, Daniel; Zhao, Shiyu
Formation control is one of the fundamental coordination&#13;
tasks for teams of autonomous vehicles. Autonomous&#13;
formations are used in applications ranging&#13;
from search-and-rescue operations to deep space&#13;
exploration, with benefits including increased robustness&#13;
to failures and risk mitigation for human operators.&#13;
The challenge of formation control is to develop&#13;
distributed control strategies using vehicle onboard&#13;
sensing that ensures the desired formation is&#13;
obtained. This snapshot describes how the mathematical&#13;
theory of rigidity has emerged as an important&#13;
tool in the study of formation control problems.
</description>
<pubDate>Wed, 11 Dec 2019 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://publications.mfo.de/handle/mfo/3689</guid>
<dc:date>2019-12-11T00:00:00Z</dc:date>
<dc:creator>Zelazo, Daniel</dc:creator>
<dc:creator>Zhao, Shiyu</dc:creator>
<dc:description>Formation control is one of the fundamental coordination&#13;
tasks for teams of autonomous vehicles. Autonomous&#13;
formations are used in applications ranging&#13;
from search-and-rescue operations to deep space&#13;
exploration, with benefits including increased robustness&#13;
to failures and risk mitigation for human operators.&#13;
The challenge of formation control is to develop&#13;
distributed control strategies using vehicle onboard&#13;
sensing that ensures the desired formation is&#13;
obtained. This snapshot describes how the mathematical&#13;
theory of rigidity has emerged as an important&#13;
tool in the study of formation control problems.</dc:description>
</item>
<item>
<title>Expander graphs and where to find them</title>
<link>http://publications.mfo.de/handle/mfo/3687</link>
<description>Expander graphs and where to find them
Khukhro, Ana
Graphs are mathematical objects composed of a collection&#13;
of “dots” called vertices, some of which are&#13;
joined by lines called edges. Graphs are ideal for visually&#13;
representing relations between things, and mathematical&#13;
properties of graphs can provide an insight&#13;
into real-life phenomena. One interesting property is&#13;
how connected a graph is, in the sense of how easy it&#13;
is to move between the vertices along the edges. The&#13;
topic dealt with here is the construction of particularly&#13;
well-connected graphs, and whether or not such&#13;
graphs can happily exist in worlds similar to ours.
</description>
<pubDate>Fri, 22 Nov 2019 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://publications.mfo.de/handle/mfo/3687</guid>
<dc:date>2019-11-22T00:00:00Z</dc:date>
<dc:creator>Khukhro, Ana</dc:creator>
<dc:description>Graphs are mathematical objects composed of a collection&#13;
of “dots” called vertices, some of which are&#13;
joined by lines called edges. Graphs are ideal for visually&#13;
representing relations between things, and mathematical&#13;
properties of graphs can provide an insight&#13;
into real-life phenomena. One interesting property is&#13;
how connected a graph is, in the sense of how easy it&#13;
is to move between the vertices along the edges. The&#13;
topic dealt with here is the construction of particularly&#13;
well-connected graphs, and whether or not such&#13;
graphs can happily exist in worlds similar to ours.</dc:description>
</item>
<item>
<title>Deep Learning and Inverse Problems</title>
<link>http://publications.mfo.de/handle/mfo/3686</link>
<description>Deep Learning and Inverse Problems
Arridge, Simon; de Hoop, Maarten; Maass, Peter; Öktem, Ozan; Schönlieb, Carola; Unser, Michael
Big data and deep learning are modern buzz words&#13;
which presently infiltrate all fields of science and technology.&#13;
These new concepts are impressive in terms&#13;
of the stunning results they achieve for a large variety&#13;
of applications. However, the theoretical justification&#13;
for their success is still very limited. In this snapshot,&#13;
we highlight some of the very recent mathematical&#13;
results that are the beginnings of a solid theoretical&#13;
foundation for the subject.
</description>
<pubDate>Thu, 21 Nov 2019 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://publications.mfo.de/handle/mfo/3686</guid>
<dc:date>2019-11-21T00:00:00Z</dc:date>
<dc:creator>Arridge, Simon</dc:creator>
<dc:creator>de Hoop, Maarten</dc:creator>
<dc:creator>Maass, Peter</dc:creator>
<dc:creator>Öktem, Ozan</dc:creator>
<dc:creator>Schönlieb, Carola</dc:creator>
<dc:creator>Unser, Michael</dc:creator>
<dc:description>Big data and deep learning are modern buzz words&#13;
which presently infiltrate all fields of science and technology.&#13;
These new concepts are impressive in terms&#13;
of the stunning results they achieve for a large variety&#13;
of applications. However, the theoretical justification&#13;
for their success is still very limited. In this snapshot,&#13;
we highlight some of the very recent mathematical&#13;
results that are the beginnings of a solid theoretical&#13;
foundation for the subject.</dc:description>
</item>
<item>
<title>Mixed-dimensional models for real-world applications</title>
<link>http://publications.mfo.de/handle/mfo/3688</link>
<description>Mixed-dimensional models for real-world applications
Nordbotten, Jan Martin
We explore mathematical models for physical problems&#13;
in which it is necessary to simultaneously consider&#13;
equations in different dimensions; these are called&#13;
mixed-dimensional models. We first give several examples,&#13;
and then an overview of recent progress made&#13;
towards finding a general method of solution of such&#13;
problems.
</description>
<pubDate>Thu, 21 Nov 2019 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://publications.mfo.de/handle/mfo/3688</guid>
<dc:date>2019-11-21T00:00:00Z</dc:date>
<dc:creator>Nordbotten, Jan Martin</dc:creator>
<dc:description>We explore mathematical models for physical problems&#13;
in which it is necessary to simultaneously consider&#13;
equations in different dimensions; these are called&#13;
mixed-dimensional models. We first give several examples,&#13;
and then an overview of recent progress made&#13;
towards finding a general method of solution of such&#13;
problems.</dc:description>
</item>
<item>
<title>Touching the transcendentals: tractional motion from the bir th of calculus to future perspectives</title>
<link>http://publications.mfo.de/handle/mfo/3685</link>
<description>Touching the transcendentals: tractional motion from the bir th of calculus to future perspectives
Milici, Pietro
When the rigorous foundation of calculus was developed,&#13;
it marked an epochal change in the approach&#13;
of mathematicians to geometry. Tools from geometry&#13;
had been one of the foundations of mathematics&#13;
until the 17th century but today, mainstream conception&#13;
relegates geometry to be merely a tool of visualization.&#13;
In this snapshot, however, we consider&#13;
geometric and constructive components of calculus.&#13;
We reinterpret “tractional motion”, a late 17th century&#13;
method to draw transcendental curves, in order&#13;
to reintroduce “ideal machines” in math foundation&#13;
for a constructive approach to calculus that avoids&#13;
the concept of infinity.
</description>
<pubDate>Thu, 21 Nov 2019 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://publications.mfo.de/handle/mfo/3685</guid>
<dc:date>2019-11-21T00:00:00Z</dc:date>
<dc:creator>Milici, Pietro</dc:creator>
<dc:description>When the rigorous foundation of calculus was developed,&#13;
it marked an epochal change in the approach&#13;
of mathematicians to geometry. Tools from geometry&#13;
had been one of the foundations of mathematics&#13;
until the 17th century but today, mainstream conception&#13;
relegates geometry to be merely a tool of visualization.&#13;
In this snapshot, however, we consider&#13;
geometric and constructive components of calculus.&#13;
We reinterpret “tractional motion”, a late 17th century&#13;
method to draw transcendental curves, in order&#13;
to reintroduce “ideal machines” in math foundation&#13;
for a constructive approach to calculus that avoids&#13;
the concept of infinity.</dc:description>
</item>
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