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Augmented Hessian, function optimization

Augmented Hessian, function optimization. Bracket, 55 Conjugate Gradient (CG) optimization, 318 Dewar benzene, 367 — ... [Pg.219]

Atoms In Molecules (AIM), 223 Attractors, electron density analysis, 223 Augmented Hessian, function optimization, 320... [Pg.219]

Aq becomes as5miptotically a g/ g, i.e., the steepest descent formula with a step length 1/a. The augmented Hessian method is closely related to eigenvector (mode) following, discussed in section B3.5.5 2. The main difference between rational function and trust radius optimizations is that, in the latter, the level shift is applied only if the calculated step exceeds a threshold, while in the former it is imposed smoothly and is automatically reduced to zero as convergence is approached. [Pg.2339]

See other pages where Augmented Hessian, function optimization is mentioned: [Pg.319]    [Pg.104]    [Pg.124]    [Pg.97]    [Pg.107]    [Pg.389]    [Pg.174]    [Pg.296]    [Pg.243]    [Pg.141]   
See also in sourсe #XX -- [ Pg.320 ]

See also in sourсe #XX -- [ Pg.320 ]



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Augmentative

Augmented

Augmented Functional

Augmented Hessian

Augmenting

Hessian

Optimization function

Optimization functional

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