PHON 发表于 2025-3-30 09:17:22
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Stephen F. Gullsequence of unconstrained minimizations of an augmented Lagrangian L(x,y,r), followed each by an iteration on the La — grange multiplier vector y. In spite of the growing recognition that multiplier methods are among the most effective constrained minimization methods, the value to be given to the pExterior 发表于 2025-3-30 17:01:23
G. Larry Bretthorstsequence of unconstrained minimizations of an augmented Lagrangian L(x,y,r), followed each by an iteration on the La — grange multiplier vector y. In spite of the growing recognition that multiplier methods are among the most effective constrained minimization methods, the value to be given to the p老人病学 发表于 2025-3-30 21:13:05
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Jorma Rissanenhese particular problems are thoroughly studied in papers and various methods are proposed. After a detailed study of these various methods which consist in determining the parameters n, {a.}, {b.}, we have reached the following conclusions:.1.) that the adjustment of experimental results by multi eadjacent 发表于 2025-3-31 05:35:01
John Skillinghese particular problems are thoroughly studied in papers and various methods are proposed. After a detailed study of these various methods which consist in determining the parameters n, {a.}, {b.}, we have reached the following conclusions:.1.) that the adjustment of experimental results by multi e光滑 发表于 2025-3-31 11:50:03
C. C. Rodriguezsequence of unconstrained minimizations of an augmented Lagrangian L(x,y,r), followed each by an iteration on the La — grange multiplier vector y. In spite of the growing recognition that multiplier methods are among the most effective constrained minimization methods, the value to be given to the p橡子 发表于 2025-3-31 17:09:31
P. F. Fougerehese particular problems are thoroughly studied in papers and various methods are proposed. After a detailed study of these various methods which consist in determining the parameters n, {a.}, {b.}, we have reached the following conclusions:.1.) that the adjustment of experimental results by multi e