Results 21 to 30 of about 4,188 (200)
On clustering and related problems on curves under the Fréchet distance [PDF]
Sensor measurements can be represented as points in Rd. Ordered by the time-stamps of these measurements, they yield a time series, that can be interpreted as a polygonal curve in the d-dimensional ambient space.
Krivosija, Amer
core +1 more source
This thesis consists of four papers and focuses on function spaces related to first-order analysis in abstract metric measure spaces. The classical (i.e., Sobolev) theory in Euclidean spaces makes use of summability of distributional gradients, whose ...
Malý, Lukáš
core +2 more sources
Lie–Hamilton systems on curved spaces: a geometrical approach [PDF]
Producción CientíficaA Lie–Hamilton system is a nonautonomous system of first-order ordinary differential equations describing the integral curves of a t-dependent vector field taking values in a finite-dimensional Lie algebra, a Vessiot–Guldberg Lie ...
Mariusz Tobolski +7 more
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The geometry of self-affine fractals [PDF]
In this thesis we study the dimension theory of self-affine sets. We begin by introducing a number of notions from fractal geometry, in particular, dimensions, measure properties and iterated functions systems.
Miao, Jun Jie
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A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
Definable Topological Spaces in O-Minimal Structures
We further the research in o-minimal topology by studying in full generality definable topological spaces in o-minimal structures. These are topological spaces (X, τ ), where Xis a definable set in an o-minimal structure and the topology τ has a basis ...
Guerrero, Pablo Andújar
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Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Topological Quantum Field Theory and the Geometric Langlands Correspondence [PDF]
In the pioneering work of A. Kapustin and E. Witten, the geometric Langlands program of number theory was shown to be intimately related to duality of GL-twisted N=4 super Yang-Mills theory compactified on a Riemann surface. In this thesis, we generalize
Setter, Kevin Luke
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New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source
Physics-Informed Machine Learning for Sustainable Alloy Design: Toward a Recyclable Unified Q&P Steel. [PDF]
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Wei X +7 more
europepmc +2 more sources

