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Dataset in support of the Southampton doctoral thesis 'The application of optimal control techniques to the shadowing approach for time averaged sensitivity analysis of chaotic systems'

Dataset in support of the Southampton doctoral thesis 'The application of optimal control techniques to the shadowing approach for time averaged sensitivity analysis of chaotic systems'
Dataset in support of the Southampton doctoral thesis 'The application of optimal control techniques to the shadowing approach for time averaged sensitivity analysis of chaotic systems'
This dataset is available 'on request' due to the large file size. Please complete the request form at: https://library.soton.ac.uk/datarequest Most of the datasets are provided in standard spectral format. The data provided in this dataset is divided as follows: Lorenz: Each image data is zipped accordingly and named appropriately. Three initial conditions are also provided Kuramoto_Sivashinsky: The CLVs are zipped into one file which contains all clvs and adjoint variants The only thing to note is that the adjoint numerical viscosity simulations are zipped into groups of the range of mu Kolmogorov: The clvs are zipped into clv/adjoint pairs and given the underscore_1 Also the numerical viscosity and OCS are zipped into groups of values _500 represents an alpha value of 500 and _1_2 represents a time values of 1 to 2
University of Southampton
Gilbert, Rhys Edward
30815773-12a8-4f61-87da-96728d9b0435
Gilbert, Rhys Edward
30815773-12a8-4f61-87da-96728d9b0435

Gilbert, Rhys Edward (2023) Dataset in support of the Southampton doctoral thesis 'The application of optimal control techniques to the shadowing approach for time averaged sensitivity analysis of chaotic systems'. University of Southampton doi:10.5258/SOTON/D2847 [Dataset]

Record type: Dataset

Abstract

This dataset is available 'on request' due to the large file size. Please complete the request form at: https://library.soton.ac.uk/datarequest Most of the datasets are provided in standard spectral format. The data provided in this dataset is divided as follows: Lorenz: Each image data is zipped accordingly and named appropriately. Three initial conditions are also provided Kuramoto_Sivashinsky: The CLVs are zipped into one file which contains all clvs and adjoint variants The only thing to note is that the adjoint numerical viscosity simulations are zipped into groups of the range of mu Kolmogorov: The clvs are zipped into clv/adjoint pairs and given the underscore_1 Also the numerical viscosity and OCS are zipped into groups of values _500 represents an alpha value of 500 and _1_2 represents a time values of 1 to 2

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README_Gilbert.txt - Dataset
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Published date: 21 October 2023

Identifiers

Local EPrints ID: 487561
URI: http://eprints.soton.ac.uk/id/eprint/487561
PURE UUID: 4578fa90-ed6e-45d9-91b0-c7cc790ffb17

Catalogue record

Date deposited: 23 Feb 2024 17:50
Last modified: 23 Feb 2024 17:50

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Contributors

Creator: Rhys Edward Gilbert

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