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Hessian Matrix Approach

we now have three dependent variables, ( y, dyfdb, and 3 y/0i 2)and [Pg.789]

Fix T and integrate numerically in time the equations for the dependent variables (y, dyjdb, and dyfdb2) to find their dependence on time. We need to [Pg.789]

An equation which is essentially the same as equation (9.148) for Ad can be obtained by using a different approach from that used above where we expanded the [Pg.789]

We want to find the parameters that make the derivative of O [6) with respect [Pg.790]

Since H is a symmetric matrix (see equation (9.164)) and therefore H = H, equation (9.168) becomes [Pg.791]


Comparison of equation (9.194) to (9.148) shows that the approximate Hessian matrix approach (since we are using and not H ) leads to the same equation... [Pg.795]

However, even this approach becomes inefficient if the degrees of freedom and the reduced Hessian matrix become large. Consider a problem with NU control variables per element and NE finite elements. Note that even after decomposition, a Newton method applied to a dense, reduced system with NU X NE degrees of freedom requires computational effort on the order of (NU X NE) ... [Pg.247]

Computationally the super-CI method is more complicated to work with than the Newton-Raphson approach. The major reason is that the matrix d is more complicated than the Hessian matrix c. Some of the matrix elements of d will contain up to fourth order density matrix elements for a general MCSCF wave function. In the CASSCF case only third order term remain, since rotations between the active orbitals can be excluded. Besides, if an unfolded procedure is used, where the Cl problem is solved to convergence in each iteration, the highest order terms cancel out. In this case up to third order density matrix elements will be present in the matrix elements of d in the general case. Thus super-CI does not represent any simplification compared to the Newton-Raphson method. [Pg.227]

An additional advantage of second-derivative methods is that frequencies of infrared vibrations can be calculated from the final Hessian matrix. This is only likely to be of relevance to small-molecule systems where good-quality spectra can be obtained. However, in such cases there is the potential to predict spectra and so characterize an unknown compound (see Chapter 9, Section 9.1). The ability to reproduce infrared frequencies should also provide a good test of the force field parameters, but little use has been made so far of this approach [43 5]. [Pg.170]

The above-related situation can also be improved by using a different algorithm for training. One of the most efficient minimization algorithms is the Levenberg-Marquardt (LM) [56,59]. It is between 10 and 100 times faster than gradient-descent, given it employs a second-derivative approach, while GDM employs only first-derivative terms. As the calculation of the Hessian matrix (matrix of the second derivatives of the error in... [Pg.732]

In principle both approaches may differ in the index of the stationary geometries sensed by the eigenvalues of the Hessian matrix. The variational principle implies, in the present electronuclear approach, that any stationary conformation is a minimum since geometric variations must conserve symmetry to do actual computing one should use variations in the an-space. On the other hand, in the... [Pg.31]

TABLE I. The two highest frequencies of the short bridge carbonate adsorbed on Pt4 and Pt18 surface cluster models (a) frequencies obtained from explicit diagonalization of the full hessian matrix (b) frequencies obtained using the normal coordinate approach... [Pg.222]

The computation of molecular vibrations is possible with all methods for structure refinement which compute the Hessian matrix (for MM this is the case for optimizers based on second derivatives such as the Newton-Raphson method18). The computed frequencies may then be used for comparison with experimental data90. Recent developments in this area are novel QM-based approaches for the efficient computation of specific vibrational frequencies in large molecules.177... [Pg.310]

So far, we have only separated out the HX vibrational motion. Generally, such a solution of the stationary Schiodinger equation is not computationally feasible for clusters with more atoms. Therefore, other approximations have to be employed. At the same time, all phenoniena important for the cluster structure have to be properly included. We have performed an adiabatic separation of the HX libra-tional motion from the motion of the heavy particles, i.e., from the cage modes. Moreover, the cage modes have been calculated within the harmonic approach, i.e., by a diagonalization of the Hessian matrix. Formally, the wavefunction is expressed as... [Pg.471]

The solution of the orbital corrections has usually been uncoupled from the CSF corrections within the micro-iterative procedure with this approach . This usually causes no problems for ground-state calculations, but it is expected to be detrimental for excited states, particularly those with negative eigenvalues of the orbital Hessian matrix at convergence. This could be addressed by using, for example, the PSCI iterative method within a micro-iteration for a fixed operator to solve simultaneously for and Another disadvantage, for large numbers of virtual orbitals, is that the space... [Pg.126]


See other pages where Hessian Matrix Approach is mentioned: [Pg.789]    [Pg.789]    [Pg.791]    [Pg.793]    [Pg.167]    [Pg.191]    [Pg.789]    [Pg.789]    [Pg.791]    [Pg.793]    [Pg.167]    [Pg.191]    [Pg.298]    [Pg.301]    [Pg.252]    [Pg.186]    [Pg.286]    [Pg.292]    [Pg.380]    [Pg.203]    [Pg.205]    [Pg.207]    [Pg.220]    [Pg.214]    [Pg.185]    [Pg.211]    [Pg.213]    [Pg.217]    [Pg.219]    [Pg.222]    [Pg.35]    [Pg.27]    [Pg.107]    [Pg.155]    [Pg.35]    [Pg.491]    [Pg.619]    [Pg.910]    [Pg.119]    [Pg.111]    [Pg.122]    [Pg.124]    [Pg.126]    [Pg.127]    [Pg.167]   


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