Gradient Programming
Gradient Programming is a methodological framework in chromatography that systematically modulates the composition of the mobile phase over time to optimize the separation of analytes by selectively altering their retention behaviors.
207
Publications
16K
Citations
508
Authors
247
Institutions
Publications per year
2017–2026
55
Parents
207
Gradient methods for minimizing composite functions
Yu. Nesterov · Mathematical Programming · 2012 · 1.4K citations
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247
UCLouvain
Louvain-la-Neuve, Belgium
6 h-index
6 publications
1.6K citations

University of Waterloo
Waterloo, Canada
6 h-index
9 publications
804 citations
Princeton University
Princeton, United States
3 h-index
3 publications
178 citations
Arizona State University
Tempe, United States
3 h-index
3 publications
328 citations
Tsinghua University
Beijing, China
3 h-index
11 publications
351 citations

University of Minnesota
Minneapolis, United States
3 h-index
3 publications
210 citations
University of California, Berkeley
Berkeley, United States
3 h-index
11 publications
7.7K citations
University of Michigan
Ann Arbor, United States
3 h-index
7 publications
106 citations
1–8 of 247
Repository · 13 publications · 538 citations
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10 publications · 239 citations
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5 publications · 518 citations
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4 publications · 107 citations
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3 publications · 2.2K citations
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