1. NEW SISC SECTION ON SCIENTIFIC MACHINE LEARNING.
- Author
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De Sterck, Hans
- Subjects
- *
SCIENCE education , *MACHINE learning , *DEEP learning , *NUMERICAL solutions for linear algebra , *SCIENTIFIC computing , *COMPUTER architecture - Abstract
The article introduces a new section structure for the SIAM Journal on Scientific Computing (SISC), including a focus on Scientific Machine Learning as a major development in the field of scientific computing. Topics include the development of accurate, efficient, and scalable machine learning algorithms for solving mathematical modeling problems, emphasizing the importance of reproducibility in the review process.
- Published
- 2024
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