Constraint consensus methods for finding strictly feasible points of linear matrix inequalities
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Publication:1659091
DOI10.1155/2015/790451OpenAlexW2045976552WikidataQ59114178 ScholiaQ59114178MaRDI QIDQ1659091
Publication date: 15 August 2018
Published in: Journal of Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2015/790451
Uses Software
Cites Work
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- Optimality conditions and duality theory for minimizing sums of the largest eigenvalues of symmetric matrices
- The projective method for solving linear matrix inequalities
- Improving solver success in reaching feasibility for sets of nonlinear constraints
- A finite steps algorithm for solving convex feasibility problems
- The Constraint Consensus Method for Finding Approximately Feasible Points in Nonlinear Programs
- Feasibility and Constraint Analysis of Sets of Linear Matrix Inequalities
- Semidefinite optimization
- Using SeDuMi 1.02, A Matlab toolbox for optimization over symmetric cones
- SDPLIB 1.2, a library of semidefinite programming test problems
- Semidefinite Programming
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