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Subspace choices for the Celis-Dennis-Tapia problem. (English) Zbl 1384.49028
Summary: G. N. Grapiglia et al. [J. Oper. Res. Soc. China 1, No. 4, 425–451 (2013; Zbl 1329.90137)] proved subspace properties for the Celis-Dennis-Tapia (CDT) problem. If a subspace with lower dimension is appropriately chosen to satisfy subspace properties, then one can solve the CDT problem in that subspace so that the computational cost can be reduced. We show how to find subspaces that satisfy subspace properties for the CDT problem, by using the eigendecomposition of the Hessian matrix of the objective function. The dimensions of the subspaces are investigated. We also apply the subspace technologies to the trust region subproblem and the quadratic optimization with two quadratic constraints.

MSC:
49M37 Numerical methods based on nonlinear programming
65K05 Numerical mathematical programming methods
90C20 Quadratic programming
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