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• W2000218110 startingPage "539" @default.
• W2000218110 abstract "A new method is introduced for large‐scale convex constrained optimization. The general model algorithm involves, at each iteration, the approximate minimization of a convex quadratic on the feasible set of the original problem and global convergence is obtained by means of nonmonotone line searches. A specific algorithm, the Inexact Spectral Projected Gradient method (ISPG), is implemented using inexact projections computed by Dykstra's alternating projection method and generates interior iterates. The ISPG method is a generalization of the Spectral Projected Gradient method (SPG), but can be used when projections are difficult to compute. Numerical results for constrained least‐squares rectangular matrix problems are presented." @default.
• W2000218110 created "2016-06-24" @default.
• W2000218110 creator A5087290455 @default.
• W2000218110 date "2003-10-01" @default.
• W2000218110 modified "2023-10-17" @default.
• W2000218110 title "Inexact spectral projected gradient methods on convex sets" @default.
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• W2000218110 doi "https://doi.org/10.1093/imanum/23.4.539" @default.
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