Parameter estimation in systems exhibiting spatially complex solutions via persistent homology and machine learning
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Publication:2661445
DOI10.1016/j.matcom.2021.01.013OpenAlexW3128129065MaRDI QIDQ2661445
Marcio Gameiro, Sabrina S. Calcina
Publication date: 7 April 2021
Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.matcom.2021.01.013
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Uses Software
Cites Work
- A topological approach for protein classification
- Morse theory for filtrations and efficient computation of persistent homology
- \textsc{Phat} -- persistent homology algorithms toolbox
- A persistence landscapes toolbox for topological statistics
- Chemical oscillations, waves, and turbulence
- Computational homology
- Persistence diagrams with linear machine learning models
- Topological microstructure analysis using persistence landscapes
- Analysis of Kolmogorov flow and Rayleigh-Bénard convection using persistent homology
- Finite-difference schemes for reaction-diffusion equations modeling predator-prey interactions in MATLAB
- A short course in computational geometry and topology
- Parameter Estimation of Partial Differential Equation Models
- Measuring the departures from the Boussinesq approximation in Rayleigh–Bénard convection experiments
- Topology and data
- Homology and symmetry breaking in Rayleigh-Bénard convection: Experiments and simulations
- Persistence Images: A Stable Vector Representation of Persistent Homology
- Statistical topological data analysis using persistence landscapes
- Barcodes: The persistent topology of data
- Nearest neighbor pattern classification
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