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Topological methods for data modelling
G Carlsson - Nature Reviews Physics, 2020 - nature.com
The analysis of large and complex data sets is one of the most important problems facing the
scientific community, and physics in particular. One response to this challenge has been the …
scientific community, and physics in particular. One response to this challenge has been the …
The DIRAC code for relativistic molecular calculations
DIRAC is a freely distributed general-purpose program system for one-, two-, and four-
component relativistic molecular calculations at the level of Hartree–Fock, Kohn–Sham …
component relativistic molecular calculations at the level of Hartree–Fock, Kohn–Sham …
An overview of the topology toolkit
This software paper gives an overview of the features supported by the Topology ToolKit
(TTK), which is an open-source library for topological data analysis (TDA). TTK implements …
(TTK), which is an open-source library for topological data analysis (TDA). TTK implements …
Scalar field comparison with topological descriptors: Properties and applications for scientific visualization
In topological data analysis and visualization, topological descriptors such as persistence
diagrams, merge trees, contour trees, Reeb graphs, and Morse–Smale complexes play an …
diagrams, merge trees, contour trees, Reeb graphs, and Morse–Smale complexes play an …
Anticyclonic eddies connecting the western boundaries of Indian and Atlantic Oceans
Abstract The Indo‐Atlantic interocean exchanges achieved by Agulhas Rings are tightly
linked to global ocean circulation and climate. Yet they are still poorly understood because …
linked to global ocean circulation and climate. Yet they are still poorly understood because …
Fast geometric learning with symbolic matrices
Geometric methods rely on tensors that can be encoded using a symbolic formula and data
arrays, such as kernel and distance matrices. We present an extension for standard machine …
arrays, such as kernel and distance matrices. We present an extension for standard machine …
Task-based augmented merge trees with fibonacci heaps
This paper presents a new algorithm for the fast, shared memory multi-core computation of
augmented merge trees on triangulations. In contrast to most existing parallel algorithms …
augmented merge trees on triangulations. In contrast to most existing parallel algorithms …
A structural average of labeled merge trees for uncertainty visualization
Physical phenomena in science and engineering are frequently modeled using scalar fields.
In scalar field topology, graph-based topological descriptors such as merge trees, contour …
In scalar field topology, graph-based topological descriptors such as merge trees, contour …
Wasserstein distances, geodesics and barycenters of merge trees
This paper presents a unified computational framework for the estimation of distances,
geodesics and barycenters of merge trees. We extend recent work on the edit distance 104 …
geodesics and barycenters of merge trees. We extend recent work on the edit distance 104 …
[HTML][HTML] Assessing the landscape of toolkits, frameworks, and authoring tools for urban visual analytics systems
Over the past decade, there has been a significant increase in the development of visual
analytics systems dedicated to addressing urban issues. These systems distill intricate …
analytics systems dedicated to addressing urban issues. These systems distill intricate …