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£142.43
Springer Data Analysis for DNS Turbulent Combustion - Machine Learning
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Description
Key Features
Covers direct numerical simulation data analysis methodologies for turbulence and combustion research applications.
Bridges equation-based analysis with machine learning approaches to DNS data interpretation.
Authored by internationally respected experts in turbulent combustion and numerical simulation.
Presents both established techniques and newly emerging analytical methods for large datasets.
Provides frameworks for developing models applicable to large eddy simulations.
Enables readers to transition from experience-based to formal, data-driven analysis.
Product Specifications
- Brand
- Springer
- Format
- paperback
- ASIN
- 3030447200
- Domain
- Amazon UK
- Release Date
- 29 May 2021
- Listed Since
- 02 May 2021
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