Article
Open Access
The Weighted Gaussian Curvature Derivative of a Space-Filling Diagram
-
Arsenyi Akopyan
and
Herbert Edelsbrunner
Published/Copyright:
August 12, 2020
Received: 2020-04-30
Accepted: 2020-07-21
Published Online: 2020-08-12
© 2020 Arsenyi Akopyan et al., published by De Gruyter
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Keywords for this article
Molecular dynamics;
proteins;
space-filling diagrams;
intrinsic volume;
alpha shapes;
inclusion-exclusion;
derivatives;
discontinuities;
computer implementation
Creative Commons
BY 4.0
Articles in the same Issue
- Research Articles
- Atom-specific persistent homology and its application to protein flexibility analysis
- Improving RNA secondary structure prediction via state inference with deep recurrent neural networks
- The Weighted Mean Curvature Derivative of a Space-Filling Diagram
- Pharmacokinetics and Pharmacodynamics Models of Tumor Growth and Anticancer Effects in Discrete Time
- Topology of the mesoscale connectome of the mouse brain
- Special Issue: Computational Topology and Application
- A simple algorithm to compute link polynomials defined by using skein relations
- The Weighted Gaussian Curvature Derivative of a Space-Filling Diagram
- NMR Protein Structure Calculation and Sphere Intersections
- On correlation of hyperbolic volumes of fullerenes with their properties
- Special Issue: Computational and Mathematical Bioscience for COVID-19
- A reaction-diffusion system to better comprehend the unlockdown: Application of SEIR-type model with diffusion to the spatial spread of COVID-19 in France
- Dynamical model for social distancing in the U.S. during the COVID-19 epidemic
- Optimal Control for a COVID-19 Model Accounting for Symptomatic and Asymptomatic
- From ODE to Open Markov Chains, via SDE: an application to models for infections in individuals and populations
- Control Intervention Strategies for Within-Host, Between-Host and their Efficacy in the Treatment, Spread of COVID-19 : A Multi Scale Modeling Approach
- On Linear Growth in COVID-19 Cases
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