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A block symmetric Gauss-Seidel decomposition theorem for convex composite quadratic programming and its applications.
Xudong Li
Defeng Sun
Kim-Chuan Toh
Published in:
Math. Program. (2019)
Keyphrases
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quadratic programming
karush kuhn tucker
gauss seidel
quadratic program
linear programming
interior point methods
convex optimization
support vector machine
convergence speed
ls svm
newton method
convex sets
decomposition method
linear program
decomposition algorithm
parallel algorithm
least squares
data sets