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<title>2018</title>
<link>http://publications.mfo.de/handle/mfo/1336</link>
<description/>
<pubDate>Fri, 17 Apr 2026 11:25:05 GMT</pubDate>
<dc:date>2026-04-17T11:25:05Z</dc:date>
<item>
<title>Mixed volumes and mixed integrals</title>
<link>http://publications.mfo.de/handle/mfo/1400</link>
<description>Mixed volumes and mixed integrals
Rotem, Liran
In recent years, mathematicians have developed new&#13;
approaches to study convex sets: instead of considering&#13;
convex sets themselves, they explore certain functions&#13;
or measures that are related to them. Problems&#13;
from convex geometry become thereby accessible to&#13;
analytic and probabilistic tools, and we can use these&#13;
tools to make progress on very difficult open problems.&#13;
We discuss in this Snapshot such a functional extension&#13;
of some “volumes” which measure how “big”&#13;
a set is. We recall the construction of “intrinsic volumes”,&#13;
discuss the fundamental inequalities between&#13;
them, and explain the functional extensions of these&#13;
results.
</description>
<pubDate>Sat, 29 Dec 2018 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://publications.mfo.de/handle/mfo/1400</guid>
<dc:date>2018-12-29T00:00:00Z</dc:date>
<dc:creator>Rotem, Liran</dc:creator>
<dc:description>In recent years, mathematicians have developed new&#13;
approaches to study convex sets: instead of considering&#13;
convex sets themselves, they explore certain functions&#13;
or measures that are related to them. Problems&#13;
from convex geometry become thereby accessible to&#13;
analytic and probabilistic tools, and we can use these&#13;
tools to make progress on very difficult open problems.&#13;
We discuss in this Snapshot such a functional extension&#13;
of some “volumes” which measure how “big”&#13;
a set is. We recall the construction of “intrinsic volumes”,&#13;
discuss the fundamental inequalities between&#13;
them, and explain the functional extensions of these&#13;
results.</dc:description>
</item>
<item>
<title>Estimating the volume of a convex body</title>
<link>http://publications.mfo.de/handle/mfo/1396</link>
<description>Estimating the volume of a convex body
Baldin, Nicolai
Sometimes the volume of a convex body needs to&#13;
be estimated, if we cannot calculate it analytically.&#13;
We explain how statistics can be used not only to&#13;
approximate the volume of the convex body, but also&#13;
its shape.
</description>
<pubDate>Sun, 30 Dec 2018 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://publications.mfo.de/handle/mfo/1396</guid>
<dc:date>2018-12-30T00:00:00Z</dc:date>
<dc:creator>Baldin, Nicolai</dc:creator>
<dc:description>Sometimes the volume of a convex body needs to&#13;
be estimated, if we cannot calculate it analytically.&#13;
We explain how statistics can be used not only to&#13;
approximate the volume of the convex body, but also&#13;
its shape.</dc:description>
</item>
<item>
<title>Topological Complexity, Robotics and Social Choice</title>
<link>http://publications.mfo.de/handle/mfo/1384</link>
<description>Topological Complexity, Robotics and Social Choice
Carrasquel, José; Lupton, Gregory; Oprea, John
Topological complexity is a number that measures&#13;
how hard it is to plan motions (for robots, say) in&#13;
terms of a particular space associated to the kind of&#13;
motion to be planned. This is a burgeoning subject&#13;
within the wider area of Applied Algebraic Topology.&#13;
Surprisingly, the same mathematics gives insight into&#13;
the question of creating social choice functions, which&#13;
may be viewed as algorithms for making decisions by&#13;
artificial intelligences.
</description>
<pubDate>Fri, 10 Aug 2018 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://publications.mfo.de/handle/mfo/1384</guid>
<dc:date>2018-08-10T00:00:00Z</dc:date>
<dc:creator>Carrasquel, José</dc:creator>
<dc:creator>Lupton, Gregory</dc:creator>
<dc:creator>Oprea, John</dc:creator>
<dc:description>Topological complexity is a number that measures&#13;
how hard it is to plan motions (for robots, say) in&#13;
terms of a particular space associated to the kind of&#13;
motion to be planned. This is a burgeoning subject&#13;
within the wider area of Applied Algebraic Topology.&#13;
Surprisingly, the same mathematics gives insight into&#13;
the question of creating social choice functions, which&#13;
may be viewed as algorithms for making decisions by&#13;
artificial intelligences.</dc:description>
</item>
<item>
<title>A short story on optimal transport and its many applications</title>
<link>http://publications.mfo.de/handle/mfo/1381</link>
<description>A short story on optimal transport and its many applications
Santambrogio, Filippo
We present some examples of optimal transport problems&#13;
and of applications to different sciences (logistics,&#13;
economics, image processing, and a little bit of&#13;
evolution equations) through the crazy story of an&#13;
industrial dynasty regularly asking advice from an&#13;
exotic mathematician.
</description>
<pubDate>Wed, 08 Aug 2018 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://publications.mfo.de/handle/mfo/1381</guid>
<dc:date>2018-08-08T00:00:00Z</dc:date>
<dc:creator>Santambrogio, Filippo</dc:creator>
<dc:description>We present some examples of optimal transport problems&#13;
and of applications to different sciences (logistics,&#13;
economics, image processing, and a little bit of&#13;
evolution equations) through the crazy story of an&#13;
industrial dynasty regularly asking advice from an&#13;
exotic mathematician.</dc:description>
</item>
<item>
<title>Number theory in quantum computing</title>
<link>http://publications.mfo.de/handle/mfo/1380</link>
<description>Number theory in quantum computing
Schönnenbeck, Sebastian
Algorithms are mathematical procedures developed&#13;
to solve a problem. When encoded on a computer,&#13;
algorithms must be "translated" to a series of simple&#13;
steps, each of which the computer knows how&#13;
to do. This task is relatively easy to do on a classical&#13;
computer and we witness the benefits of this&#13;
success in our everyday life. Quantum mechanics,&#13;
the physical theory of the very small, promises to enable&#13;
completely novel architectures of our machines,&#13;
which will provide specific tasks with higher computing&#13;
power. Translating and implementing algorithms&#13;
on quantum computers is hard. However, we will&#13;
show that solutions to this problem can be found and&#13;
yield surprising applications to number theory.
</description>
<pubDate>Tue, 07 Aug 2018 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://publications.mfo.de/handle/mfo/1380</guid>
<dc:date>2018-08-07T00:00:00Z</dc:date>
<dc:creator>Schönnenbeck, Sebastian</dc:creator>
<dc:description>Algorithms are mathematical procedures developed&#13;
to solve a problem. When encoded on a computer,&#13;
algorithms must be "translated" to a series of simple&#13;
steps, each of which the computer knows how&#13;
to do. This task is relatively easy to do on a classical&#13;
computer and we witness the benefits of this&#13;
success in our everyday life. Quantum mechanics,&#13;
the physical theory of the very small, promises to enable&#13;
completely novel architectures of our machines,&#13;
which will provide specific tasks with higher computing&#13;
power. Translating and implementing algorithms&#13;
on quantum computers is hard. However, we will&#13;
show that solutions to this problem can be found and&#13;
yield surprising applications to number theory.</dc:description>
</item>
<item>
<title>Tropical geometry</title>
<link>http://publications.mfo.de/handle/mfo/1378</link>
<description>Tropical geometry
Brugallé, Erwan; Itenberg, Ilia; Shaw, Kristin; Viro, Oleg
What kind of strange spaces hide behind the enigmatic&#13;
name of tropical geometry? In the tropics, just&#13;
as in other geometries, one of the simplest objects is&#13;
a line. Therefore, we begin our exploration by considering&#13;
tropical lines. Afterwards, we take a look at&#13;
tropical arithmetic and algebra, and describe how to&#13;
define tropical curves using tropical polynomials.
</description>
<pubDate>Thu, 19 Jul 2018 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://publications.mfo.de/handle/mfo/1378</guid>
<dc:date>2018-07-19T00:00:00Z</dc:date>
<dc:creator>Brugallé, Erwan</dc:creator>
<dc:creator>Itenberg, Ilia</dc:creator>
<dc:creator>Shaw, Kristin</dc:creator>
<dc:creator>Viro, Oleg</dc:creator>
<dc:description>What kind of strange spaces hide behind the enigmatic&#13;
name of tropical geometry? In the tropics, just&#13;
as in other geometries, one of the simplest objects is&#13;
a line. Therefore, we begin our exploration by considering&#13;
tropical lines. Afterwards, we take a look at&#13;
tropical arithmetic and algebra, and describe how to&#13;
define tropical curves using tropical polynomials.</dc:description>
</item>
<item>
<title>Data assimilation: mathematics for merging models and data</title>
<link>http://publications.mfo.de/handle/mfo/1375</link>
<description>Data assimilation: mathematics for merging models and data
Morzfeld, Matthias; Reich, Sebastian
When you describe a physical process, for example,&#13;
the weather on Earth, or an engineered system, such&#13;
as a self-driving car, you typically have two sources of&#13;
information. The first is a mathematical model, and&#13;
the second is information obtained by collecting data.&#13;
To make the best predictions for the weather, or most&#13;
effectively operate the self-driving car, you want to&#13;
use both sources of information. Data assimilation&#13;
describes the mathematical, numerical and computational&#13;
framework for doing just that.
</description>
<pubDate>Tue, 10 Jul 2018 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://publications.mfo.de/handle/mfo/1375</guid>
<dc:date>2018-07-10T00:00:00Z</dc:date>
<dc:creator>Morzfeld, Matthias</dc:creator>
<dc:creator>Reich, Sebastian</dc:creator>
<dc:description>When you describe a physical process, for example,&#13;
the weather on Earth, or an engineered system, such&#13;
as a self-driving car, you typically have two sources of&#13;
information. The first is a mathematical model, and&#13;
the second is information obtained by collecting data.&#13;
To make the best predictions for the weather, or most&#13;
effectively operate the self-driving car, you want to&#13;
use both sources of information. Data assimilation&#13;
describes the mathematical, numerical and computational&#13;
framework for doing just that.</dc:description>
</item>
<item>
<title>Fast Solvers for Highly Oscillatory Problems</title>
<link>http://publications.mfo.de/handle/mfo/1370</link>
<description>Fast Solvers for Highly Oscillatory Problems
Barnett, Alex
Waves of diverse types surround us. Sound, light&#13;
and other waves, such as microwaves, are crucial for&#13;
speech, mobile phones, and other communication technologies.&#13;
Elastic waves propagating through the Earth&#13;
bounce through the Earth’s crust and enable us to&#13;
“see” thousands of kilometres in depth. These propagating&#13;
waves are highly oscillatory in time and space,&#13;
and may scatter off obstacles or get “trapped” in&#13;
cavities. Simulating these phenomena on computers&#13;
is extremely important. However, the achievable&#13;
speeds for accurate numerical modelling are low even&#13;
on large modern computers. Our snapshot will introduce&#13;
the reader to recent progress in designing&#13;
algorithms that allow for much more rapid solutions.
</description>
<pubDate>Tue, 26 Jun 2018 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://publications.mfo.de/handle/mfo/1370</guid>
<dc:date>2018-06-26T00:00:00Z</dc:date>
<dc:creator>Barnett, Alex</dc:creator>
<dc:description>Waves of diverse types surround us. Sound, light&#13;
and other waves, such as microwaves, are crucial for&#13;
speech, mobile phones, and other communication technologies.&#13;
Elastic waves propagating through the Earth&#13;
bounce through the Earth’s crust and enable us to&#13;
“see” thousands of kilometres in depth. These propagating&#13;
waves are highly oscillatory in time and space,&#13;
and may scatter off obstacles or get “trapped” in&#13;
cavities. Simulating these phenomena on computers&#13;
is extremely important. However, the achievable&#13;
speeds for accurate numerical modelling are low even&#13;
on large modern computers. Our snapshot will introduce&#13;
the reader to recent progress in designing&#13;
algorithms that allow for much more rapid solutions.</dc:description>
</item>
<item>
<title>Geometry behind one of the Painlevé III differential equations</title>
<link>http://publications.mfo.de/handle/mfo/1367</link>
<description>Geometry behind one of the Painlevé III differential equations
Hertling, Claus
The Painlevé equations are second order differential&#13;
equations, which were first studied more than 100&#13;
years ago. Nowadays they arise in many areas in&#13;
mathematics and mathematical physics. This snapshot&#13;
discusses the solutions of one of the Painlevé&#13;
equations and presents old results on the asymptotics&#13;
at two singular points and new results on the global&#13;
behavior.
</description>
<pubDate>Wed, 20 Jun 2018 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://publications.mfo.de/handle/mfo/1367</guid>
<dc:date>2018-06-20T00:00:00Z</dc:date>
<dc:creator>Hertling, Claus</dc:creator>
<dc:description>The Painlevé equations are second order differential&#13;
equations, which were first studied more than 100&#13;
years ago. Nowadays they arise in many areas in&#13;
mathematics and mathematical physics. This snapshot&#13;
discusses the solutions of one of the Painlevé&#13;
equations and presents old results on the asymptotics&#13;
at two singular points and new results on the global&#13;
behavior.</dc:description>
</item>
<item>
<title>The codimension</title>
<link>http://publications.mfo.de/handle/mfo/1365</link>
<description>The codimension
Lerario, Antonio
In this snapshot we discuss the notion of codimension,&#13;
which is, in a sense, “dual” to the notion of dimension&#13;
and is useful when studying the relative position of&#13;
one object insider another one.
</description>
<pubDate>Tue, 19 Jun 2018 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://publications.mfo.de/handle/mfo/1365</guid>
<dc:date>2018-06-19T00:00:00Z</dc:date>
<dc:creator>Lerario, Antonio</dc:creator>
<dc:description>In this snapshot we discuss the notion of codimension,&#13;
which is, in a sense, “dual” to the notion of dimension&#13;
and is useful when studying the relative position of&#13;
one object insider another one.</dc:description>
</item>
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