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We propose a parallelization of the multidimensional filter trust region methods to make them suitable for large scale problems. The parallelization reduces the storage problems caused by storing the filter point. The limited memory BFGS method is employed to obtain the Hessian approximation in the quadratic model of the trust region methods, which often yields a dramatic reduction in the number of...
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