Decomposition Optimization
Decomposition Optimization is a methodological framework within functional decomposition that systematically enhances the efficiency and effectiveness of decomposing complex systems by optimizing the allocation, granularity, and interdependence of subfunctions.
95
Publications
3.9K
Citations
254
Authors
123
Institutions
Publications per year
2017–2026
31
Parents
95
Palette-Based Image Recoloring Using Color Decomposition Optimization
Qing Zhang, Chunxia Xiao, Hanqiu Sun et al. · IEEE Transactions on Image Processing · 2017 · 107 citations
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Massachusetts Institute of Technology
Cambridge, United States
4 h-index
3 publications
157 citations

University of Minnesota
Minneapolis, United States
4 h-index
4 publications
125 citations
Virginia Tech
Blacksburg, United States
3 h-index
8 publications
153 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
5 publications
196 citations
Tecnológico de Monterrey
Monterrey, Mexico
2 h-index
3 publications
55 citations
Dalian University of Technology
Dalian, China
2 h-index
9 publications
201 citations
Princeton University
Princeton, United States
2 h-index
4 publications
260 citations

University of Manchester
Manchester, United Kingdom
2 h-index
4 publications
96 citations
1–8 of 123
8 publications · 249 citations
10
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3 publications · 83 citations
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3 publications · 74 citations
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2 publications · 43 citations
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2 publications · 155 citations
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