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Bound vector

By definition a dynamical system is a field of bound vectors X on a manifold M. For each and every point of M of coordinates m the equations dm/dt = X(m) determine a unique trajectory h(m). Although the analogy with a velocity field is pmely formal, the method has been widely used to model the time evolution of many phenomena. The trajectories begin and end in the neighbourhood of points for which X m) =0. For a given point p belonging to M, a p) and w(p) denote the limit-sets of p t) in M corresponding respectively to t oc and to t — -. ... [Pg.186]

The most basic electrical model of the heart is a bound vector with the variable vector moment m = iLcc see Eq. 6.10. Plonsey (1966) showed that a model with more than one dipole is of no use because it will not be possible from surface measurements to determine the contribution from each source. The only refinement is to let the single bound dipole be extended to a multipole of higher terms (e.g., with a quadrupole). [Pg.415]

Mathcad Prime changed the procedure of inserting a table into a worksheet. After choosing Insert Table from Matrices/Tables ribbon a user sees not a table but a set of bounded vectors, for example X, Y, and Z as shown in Fig. 6.26. [Pg.205]

Figure 10.47 A portion of optimtool Window in which the user decides on the type of solver and algorithm to be used by MATLAB, the objective function file the start point vector, the lower and upper bound vectors the nonlinear constraint function and finally the derivative evaluation method. Figure 10.47 A portion of optimtool Window in which the user decides on the type of solver and algorithm to be used by MATLAB, the objective function file the start point vector, the lower and upper bound vectors the nonlinear constraint function and finally the derivative evaluation method.
Here a symmetric projection step is used to enforce conservation of energy. Let a(g,p) and b q,p) be two vector-valued functions such that (p a q,p) + U q) b q,p)) is bounded away from zero. Then we propose the following modified midpoint method,... [Pg.285]

Since this approach maps all possible interactions to processors, no communication is required during force calculation. Moreover, the row assignments are completed before the first step of the simulation. The computation of the bounds for each processor require O(P ) time, which is very negligible compared to N (for N S> P). The communication required at the end of each step to update the position and velocity vectors is done by reducing force vectors of length N, and therefore scales as 0 N) per node per time step. Thus the overall complexity of this algorithm is. [Pg.489]

We can now proceed to the generation of conformations. First, random values are assigne to all the interatomic distances between the upper and lower bounds to give a trial distam matrix. This distance matrix is now subjected to a process called embedding, in which tl distance space representation of the conformation is converted to a set of atomic Cartesic coordinates by performing a series of matrix operations. We calculate the metric matrix, each of whose elements (i, j) is equal to the scalar product of the vectors from the orig to atoms i and j ... [Pg.485]

If V is the volume bounded by a closed surface S and A is a vector function of position with continuous derivatives, then... [Pg.256]

Let S be an open, two-sided surface bounded by a curve C, then the line integral of vector A (ciiiwe C is traversed in the positive direction) is expressed as... [Pg.257]

Firstly, let us formulate an auxiliary statement concerning boundary values for the vector-functions having square integrable divergence (Baiocchi, Capelo, 1984 Temam, 1979). Consider a bounded domain H c i . Introduce the Hilbert space... [Pg.55]

Let C i be a bounded domain with a smooth boundary L, and n = (ni,n2,n3) be a unit outward normal vector to L. Introduce the stress and strain tensors of linear elasticity (see Section 1.1.1),... [Pg.56]

Let a plate occupy a bounded domain fl c with smooth boundary F. Inside fl there is a graph Fc of a sufficiently smooth function. The graph Fc corresponds to the crack in the plate (see Section 1.1.7). A unit vector n = being normal to Fc defines the surfaces of the crack. [Pg.118]

Let C be a bounded domain with the smooth boundary L, which has an inside smooth curve Lc without self-intersections. We denote flc = fl Tc. Let n = (ni,ri2) be a unit normal vector at L, and n = ( 1,1 2) be a unit normal vector at Lc, which defines a positive and a negative surface of the crack. We assume that there exists a closed continuation S of Lc dividing fl into two domains the domain fl with the outside normal n at S, and the domain 12+ with the outside normal —n at S (see Section 1.4). By doing so, for a smooth function w in flc, we define the traces of w at boundaries 912+ and, in particular, the traces w+ and the jump [w] = w+ — w at Lc. Let us consider the bilinear form... [Pg.234]

Macroscopic Equations An arbitraiy control volume of finite size is bounded by a surface of area with an outwardly directed unit normal vector n. The control volume is not necessarily fixed in space. Its boundary moves with velocity w. The fluid velocity is v. Figure 6-3 shows the arbitraiy control volume. [Pg.632]

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 unit cell of the carbon nanotube is shown in Fig. 1 as the rectangle bounded by the vectors Q and T, where T is the ID translation vector of the nanotube. The vector T is normal to C, and extends from... [Pg.28]

A final word may be said about appraising the accuracy of a computed root. No usable rigorous bound to the errors is known that does not require approximations to all roots and vectors. Suppose, then, that X is a matrix whose columns are approximations to the characteristic vectors, and form... [Pg.78]

The lobes of electron density outside the C-O vector thus offer cr-donor lone-pair character. Surprisingly, carbon monoxide does not form particularly stable complexes with BF3 or with main group metals such as potassium or magnesium. Yet transition-metal complexes with carbon monoxide are known by the thousand. In all cases, the CO ligands are bound to the metal through the carbon atom and the complexes are called carbonyls. Furthermore, the metals occur most usually in low formal oxidation states. Dewar, Chatt and Duncanson have described a bonding scheme for the metal - CO interaction that successfully accounts for the formation and properties of these transition-metal carbonyls. [Pg.122]

It is worth noting here that in a finite-dimensional space any linear operator is bounded. All of the linear bounded operators from X into Y constitute what is called a normed vector space, since the norm j4 of an operator A satisfies all of the axioms of the norm ... [Pg.42]

Within esqjlicit schemes the computational effort to obtain the solution at the new time step is very small the main effort lies in a multiplication of the old solution vector with the coeflicient matrix. In contrast, implicit schemes require the solution of an algebraic system of equations to obtain the new solution vector. However, the major disadvantage of explicit schemes is their instability [84]. The term stability is defined via the behavior of the numerical solution for t —> . A numerical method is regarded as stable if the approximate solution remains bounded for t —> oo, given that the exact solution is also bounded. Explicit time-step schemes tend to become unstable when the time step size exceeds a certain value (an example of a stability limit for PDE solvers is the von-Neumann criterion [85]). In contrast, implicit methods are usually stable. [Pg.156]


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