Abstract
In this paper, we consider a multivariate spectral projected gradient (MSPG) method for bound constrained optimization. Combined with a quasi-Newton property, the multivariate spectral projected gradient method allows an individual adaptive step size along each coordinate direction. On the basis of nonmonotone line search, global convergence is established. A numerical comparison with the traditional SPG method shows that the method is promising.
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