On the Convergence of Grid Based Methods for Unconstrained Optimization
I.D. Coope and C.J. Price
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Abstract
The convergence of direct search methods for unconstrained minimization is examined in the case where the underlying method can be interpreted as a grid or pattern search over successively refined meshes. An important aspect of the main convergence result is that translation, rotation and scaling of the successive grids is allowed.
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