Titlebook: Maximum-Entropy and Bayesian Methods in Science and Engineering; Foundations Gary J. Erickson,C. Ray Smith Book 1988 Springer Science+Busin

PHON

兽群

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 p

Exterior

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

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RODE

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 e

adjacent

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

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

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