Result: Algorithms for Hermitian Eigenproblems and Applications in Quantum Chemistry and Machine Learning
Title:
Algorithms for Hermitian Eigenproblems and Applications in Quantum Chemistry and Machine Learning
Authors:
Contributors:
Luisier, Mathieu, Laino, Teodoro, Saad, Yousef
Publisher Information:
ETH Zurich, 2025.
Publication Year:
2025
Subject Terms:
Johnson-Lindenstrauss lemma, eigenvalue problems, Numerical linear algebra, Fast Multipole Method, Randomized Algorithms, Computational Complexity (cs.CC), Random access memory, Algorithm design and analysis, Density functional theory (DFT), Principal Component Analysis (PCA), Matrix Multiplication, Data processing, computer science, Mathematics
Document Type:
Dissertation/ Thesis
Doctoral thesis
File Description:
application/application/pdf
Language:
English
DOI:
10.3929/ethz-b-000734741
Access URL:
Rights:
Accession Number:
edsair.doi.dedup.....5a6ba4336ad691373d4f1b51e6426fe8
Database:
OpenAIRE