Structures
Quotient ring
Correlative sparsity
Term Sparsity
Symmetry
TSSOS.tssos_symmetry — Functionopt,data = tssos_symmetry(pop, x, d, group; numeq=0, action=nothing, semisimple=false, DiagSquare=false, SymmetricConstraint=true, TS="block", eqTS=TS, QUIET=false)Compute the symmetry adapted moment-SOS relaxation for polynomial optimization problems.
Input arguments
pop: polynomial optimization problemx: POP variablesd: relaxation ordergroup: permutation group acting on POP variablessemisimple: compute a semisimple representation instead of an irreducible representationnumeq: number of equality constraintsDiagSquare: include diagonal squares in the support (true,false)SymmetricConstraint: whether the constraints are symmetric or notTS: type of term sparsity ("block","MD","MF",false)eqTS: type of term sparsity for equality constraints (by default the same asTS,false)QUIET: run in the quiet mode (true,false)
Output arguments
opt: optimumdata: other auxiliary data