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A decomposition algorithm for solving large-scale quadratic programming problems. (English) Zbl 1090.65074
Authors’ summary: An algorithm for solving large-scale programming is proposed. We decompose a large-scale quadratic programming into a serial of small-scale ones and then approximate the solution of the large-scale quadratic programming via the solutions of these small-scale ones. It is proved that the accumulation point of the iterates generated by the algorithm is a global minimum point of the quadratic programming. The algorithm has performed very well in numerical testing. It is a new way of solving large-scale quadratic programming problems.

MSC:
65K05Mathematical programming (numerical methods)
90C20Quadratic programming
90C06Large-scale problems (mathematical programming)
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References:
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