LRSDP: Low-Rank SDP for Triple Patterning Lithography Layout Decomposition.
Yu ZhangYifan ChenZhonglin XieHong XuZaiwen WenYibo LinBei YuPublished in: DAC (2023)
Keyphrases
- low rank
- kernel matrix
- semidefinite programming
- convex optimization
- tensor decomposition
- missing data
- linear combination
- matrix completion
- singular value decomposition
- rank minimization
- semi supervised
- matrix factorization
- low rank matrix
- high order
- matrix decomposition
- trace norm
- high dimensional data
- convex programming
- robust principal component analysis
- singular values
- eigendecomposition
- kernel learning
- minimization problems
- interior point methods
- total variation
- machine learning
- hinge loss
- data sets
- learning algorithm
- binary matrix
- low rank matrices