Research Article
Constraint Consensus Methods for Finding Interior Feasible Points in Second-Order Cones
Algorithm 1
Original constraint consensus algorithm.
INPUTS: set of q constraints (1.1), an initial point , a feasibility distance tolerance , | a movement tolerance , maximum number of iterations . | while steps do | , for all , | for every constraint do | if constraint is violated then | Calculate feasibility vector and feasibility distance | if then | | for every variable do | , | If then | exit successfully | for every variable : do | if then | | else | | if then | exit unsuccessfully | , steps = steps + 1 |
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