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Eigenvalues geometry

To fin d a first order saddle poiri t (i.e., a trail sition structure), a m ax-imiim must be found in on e (and on/y on e) direction and minima in all other directions, with the Hessian (the matrix of second energy derivatives with respect to the geometrical parameters) bein g varied. So, a tran sition structu re is ch aracterized by th e poin t wh ere all th e first derivatives of en ergy with respect to variation of geometrical parameters are zero (as for geometry optimization) and the second derivative matrix, the Hessian, has one and only one negative eigenvalue. [Pg.65]

There were some problems with the eigenvalue following transition-structure routine jumping from one vibrational mode to another. The semiempirical geometry optimization routines work well. [Pg.329]

The assignment of bands has been carried out using ab initio calculations, unfortunately using the erroneous Ehrlich geometry (Section 4.04.1.3.1). There is a linear relationship between the calculated energy levels (eigenvalues) and the experimental ones IEexp = 0.37 + 0.75IE<,aic, (c.c.) = 0.994. [Pg.205]

Figure 3 Flow of a distance geometry calculation. On the left is shown the development of the data on the right, the operations, d , is the distance between atoms / and j Z. , and Ujj are lower and upper bounds on the distance Z. and ZZj, are the smoothed bounds after application of the triangle inequality is the distance between atom / and the geometric center N is the number of atoms (Mj,) is the metric matrix is the positional vector of atom / 2, is the first eigenvector of (M ,) with eigenvalue Xf,. V , r- , and ate the y-, and -coordinates of atom /. (1-5 correspond to the numbered list on pg. 258.)... Figure 3 Flow of a distance geometry calculation. On the left is shown the development of the data on the right, the operations, d , is the distance between atoms / and j Z. , and Ujj are lower and upper bounds on the distance Z. and ZZj, are the smoothed bounds after application of the triangle inequality is the distance between atom / and the geometric center N is the number of atoms (Mj,) is the metric matrix is the positional vector of atom / 2, is the first eigenvector of (M ,) with eigenvalue Xf,. V , r- , and ate the y-, and -coordinates of atom /. (1-5 correspond to the numbered list on pg. 258.)...
The adiabatic electronic potential energy surfaces (a function of both nuclear geometry and electric field) are obtained by solving the following electronic eigenvalue equation... [Pg.58]

If the confining geometry is known, the following boundary condition can be applied to determine the eigenvalues ... [Pg.343]

This establishes the natural relation between the modulus and the minimum nonzero eigenvalue of the force constant matrix. The precise form of this relationship, i.e., the values of the constants, depends upon the geometry of the body, both through the boundary conditions on the continuum and through the structure of the force constant matrix, which indirectly determines m... [Pg.248]

Eigenvalues of Frobenius acting on algebraic varieties over finite fields, Proceedings of Symposia in Pure Mathematics Vol. 29, Algebraic Geometry, Areata 1974, 231-261. [Pg.189]

Geometry of a quadratic objective function of two independent variables—elliptical contours. If the eigenvalues are equal, then the contours are circles. [Pg.132]

In order to solve the electronic structure problem for a single geometry, the energy should be minimized with respect to the coefficients (see Eq. (5)) subject to the orthogonality constraints. This leads to the eigenvalue equation ... [Pg.187]


See other pages where Eigenvalues geometry is mentioned: [Pg.2156]    [Pg.2156]    [Pg.2333]    [Pg.2349]    [Pg.2349]    [Pg.180]    [Pg.220]    [Pg.36]    [Pg.298]    [Pg.300]    [Pg.302]    [Pg.349]    [Pg.513]    [Pg.515]    [Pg.153]    [Pg.154]    [Pg.159]    [Pg.65]    [Pg.66]    [Pg.451]    [Pg.313]    [Pg.323]    [Pg.335]    [Pg.336]    [Pg.89]    [Pg.4]    [Pg.172]    [Pg.181]    [Pg.195]    [Pg.284]    [Pg.324]    [Pg.257]    [Pg.267]    [Pg.321]    [Pg.549]    [Pg.284]    [Pg.330]    [Pg.10]    [Pg.40]    [Pg.260]   
See also in sourсe #XX -- [ Pg.203 , Pg.204 ]

See also in sourсe #XX -- [ Pg.203 , Pg.204 ]




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Eigenvalue

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