Society for Industrial and Applied Mathematics eBooks· 2017
Model Reduction and Approximation
- 386citations
- 2017year
Short summary
New complexity reduction methods based on low-rank tensor approximation are presented for solving high-dimensional problems in computational science.
AI-generated from the title and abstract; the full text is not read.
TakeawaysIn the app
Key pointsIn the app
Ask the paperIn the app
The rest is in the Pofolia app
Takeaways, key points and questions to the paper; new summaries every day for your field. Free.
Sign in on the web to openField: Computational Mathematics
Computational MathematicsMathematics