Sparse conic reformulation of structured QCQPs based on copositive optimization with applications in stochastic optimization
From MaRDI portal
Publication:6166103
DOI10.1007/s10898-023-01283-yarXiv2101.06219OpenAlexW4382310451MaRDI QIDQ6166103
Publication date: 2 August 2023
Published in: Journal of Global Optimization (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2101.06219
Cites Work
- On the set-semidefinite representation of nonconvex quadratic programs over arbitrary feasible sets
- On reduced semidefinite programs for second order moment bounds with applications
- Two-stage stochastic standard quadratic optimization
- Mining for diamonds -- matrix generation algorithms for binary quadratically constrained quadratic problems
- Doubly nonnegative relaxations are equivalent to completely positive reformulations of quadratic optimization problems with block-clique graph structures
- Exploiting partial correlations in distributionally robust optimization
- Chordal decomposition in operator-splitting methods for sparse semidefinite programs
- On the copositive representation of binary and continuous nonconvex quadratic programs
- Interplay of non-convex quadratically constrained problems with adjustable robust optimization
- Exploiting Sparsity in Semidefinite Programming via Matrix Completion I: General Framework
- Copositive Programming
- The completely positive and doubly nonnegative completion problems
- Least Squares Estimation Based SDP Cuts for SOCP Relaxation of AC OPF
- A Geometrical Analysis on Convex Conic Reformulations of Quadratic and Polynomial Optimization Problems
- Unnamed Item
This page was built for publication: Sparse conic reformulation of structured QCQPs based on copositive optimization with applications in stochastic optimization