Gradient Method Optimization
Gradient Method Optimization is a systematic analytical approach within chromatographic method development that distinguishes itself by iteratively refining the solvent gradient profile to enhance resolution, minimize run time, and improve peak shape in the separation of complex mixtures.
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2017–2026
726
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2.3K
A Limited Memory Algorithm for Bound Constrained Optimization
Richard H. Byrd, Peihuang Lu, Jorge Nocedal et al. · SIAM Journal on Scientific Computing · 1995 · 6.2K citations
Phase retrieval algorithms: a comparison
James R. Fienup · Applied Optics · 1982 · 5.6K citations
Function minimization by conjugate gradients
R. Fletcher · The Computer Journal · 1964 · 4.9K citations · Full text
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Stanford University
Stanford, United States
24 h-index
74 publications
8.8K citations

Chinese Academy of Sciences
Beijing, China
22 h-index
88 publications
3.8K citations
University of Michigan
Ann Arbor, United States
22 h-index
82 publications
4.8K citations
Tsinghua University
Beijing, China
21 h-index
87 publications
3.6K citations

Centre National de la Recherche Scientifique
Paris, France
21 h-index
82 publications
3.2K citations

Delft University of Technology
Delft, The Netherlands
19 h-index
65 publications
5.4K citations
University of California, Berkeley
Berkeley, United States
17 h-index
31 publications
3K citations
Carnegie Mellon University
Pittsburgh, United States
17 h-index
35 publications
5.6K citations
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Repository · 73 publications · 4.7K citations
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44 publications · 1.5K citations
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22 publications · 806 citations
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