Sparse semidefinite programs with guaranteed near-linear time complexity via dualized clique tree conversion
@article{Zhang2017SparseSP, title={Sparse semidefinite programs with guaranteed near-linear time complexity via dualized clique tree conversion}, author={Richard Y. Zhang and J. Lavaei}, journal={Mathematical Programming}, year={2017}, pages={1-43} }
Clique tree conversion solves large-scale semidefinite programs by splitting an $$n\times n$$ n × n matrix variable into up to n smaller matrix variables, each representing a principal submatrix of up to $$\omega \times \omega $$ ω × ω . Its fundamental weakness is the need to introduce overlap constraints that enforce agreement between different matrix variables, because these can result in dense coupling. In this paper, we show that by dualizing the clique tree conversion, the coupling due to… CONTINUE READING
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References
SHOWING 1-10 OF 111 REFERENCES
Exploiting sparsity in semidefinite programming via matrix completion II: implementation and numerical results
- Mathematics, Computer Science
- Math. Program.
- 2003
- 159
- PDF
Exploiting Sparsity in Semidefinite Programming via Matrix Completion I: General Framework
- Mathematics, Computer Science
- SIAM J. Optim.
- 2001
- 284
- PDF
Some Nested Dissection Order is Nearly Optimal
- Mathematics, Computer Science
- Inf. Process. Lett.
- 1988
- 26
- PDF
A new graph parameter related to bounded rank positive semidefinite matrix completions
- Mathematics, Computer Science
- Math. Program.
- 2014
- 48
- PDF
Interior Point Methods in Semidefinite Programming with Applications to Combinatorial Optimization
- Mathematics, Computer Science
- SIAM J. Optim.
- 1995
- 951
- PDF
Chordal Graphs and Semidefinite Optimization
- Mathematics, Computer Science
- Found. Trends Optim.
- 2015
- 128
- PDF
Exploiting sparsity in linear and nonlinear matrix inequalities via positive semidefinite matrix completion
- Mathematics, Computer Science
- Math. Program.
- 2011
- 97
- PDF
Decomposition in Conic Optimization with Partially Separable Structure
- Mathematics, Computer Science
- SIAM J. Optim.
- 2014
- 43
- Highly Influential
- PDF