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Evaluation implicit method

Implicit methods can also be used. Write a finite difference form for the time derivative and average the right-hand sides, evaluated at the old and new time. [Pg.480]

In an implicit method the spatial derivatives are evaluated based on the dependent variables at time level n + 1, that is, wn+x. Thus, for the problem at hand,... [Pg.181]

Compared to the explicit Euler method (Eq. 15.9), note that the right-hand side is evaluated at the advanced time level tn+1- If f(t, ) is nonlinear then Eq. 15.22 must be solved iteratively to determine yn+. Despite this complication, the benefit of the implicit method lies in its excellent stability properties. The lower panel of Fig. 15.2 illustrates a graphical construction of the method. Note that the slope of the straight line between y +i and yn is tangent to the nearby solution at tn+, whereas in the explicit method (center panel) the slope is tangent to the nearby solution at t . [Pg.626]

The first term on the right-hand side is the product of the physical problem s current Jacobian matrix and the sensitivity-coefficient matrix (i.e., the dependent variable). Assuming that the underlying physical problem (i.e., Eq. 15.58) is solved by implicit methods, the Jacobian evaluation is already part of the solution algorithm. The second term, which is the matrix that describes the explicit dependence of f on the parameters, must be evaluated to form the sensitivity equation. Note that all terms on the right-hand side are time dependent, as are the sensitivity coefficients S(t). [Pg.640]

For a step size of h = 10-5 s evaluate the left-hand side of this equation for species A, B, and C using the a s found in previous problem. It was stated in the text that the implicit method is unconditionally stable. Is this statement borne out by your numerical evalation ... [Pg.643]

An alternative, called semi-implicit methods in such texts as [351], avoids the problems, and some of the variants are L-stable (see Chap. 14 for an explanation of this term), a desirable property. This was devised by Rosenbrock in 1962 474]. There are two strong points about this set of formulae. One is that the constants in the implicit set of equations for the k s are chosen such that each can be evaluated explicitly by easy rearrangement of each equation. The other is that the method lends itself ideally to nonlinear functions, not requiring iteration, because it is, in a sense, already built-in. This is explained below. [Pg.68]

Consequently, the semi-implicit methods can be considered to solve stiff systems only when the Jacobian can be calculated analytically and is not too computationally expensive with respect to the evaluation of the system f. [Pg.84]

This suggests that many diagonally implicit methods are still valid. The only difference is that the Jacobians are no longer included in the formula to evaluate y in the new point... [Pg.86]

In the current terminology for multistep methods, the use of the explicit method is denoted as P (prediction), the calculation of the functions f with E (evaluation), and the correction obtained by means of an implicit method with C (correction). [Pg.106]

Millot P, Kamoun A. An implicit method for dynamic allocation between man and computer in supervision posts of automated processes. 3rd IFAC Congress on Analysis Design and Evaluation of Man Machine Systems. Oulu, Finhuid, June, 1988. [Pg.239]

The values of kx and ky are given by Eq. (27) and i, j, Ax, Ay are defined in Fig. 5. When an implicit calculation is performed at the point i, j, the surrounding mesh points will have been estimated explicitly at the new time increment using Eq. (29). The counter system ensures that at the next time-increment, the points that have previously been calculated explicitly will now be evaluated implicitly and vice versa. The approach allows unrestricted values of k to be used and was demonstrated by Shoup and Szabo to give a good level of accuracy for the solution of transport limited current measurements at the microdisc electrode. Despite its relative ease of application and proven stability, the method has not been widely... [Pg.672]

Details of the method of resolution have been described in [9] and [11]. Considering the Poiseuille-Couette flow, turbulence equations are resolved by a half implicit method, consisting into impliciting the terms which will increase the diagonal dominance of the matrix. Then I and 3 are evaluated and velocity profiles are obtained from equations (6). These steps are iterated until a convergence criterion is satisfied. Together with velocity profiles, the coefficients Gy and and the shear stress at the wall are... [Pg.419]

In this expression, ( ) is the solution at time t and is the solution at time t + At. While certain flow conditions, such as compressible flow, are best suited to an explicit method for the solution of eq. (5-38), an impficit method is usually the most robust and stable choice for a wide variety of applications, including mixing. The major difference between the explicit and implicit methods is whether the right-hand side of eq. (5-38) is evaluated at the current time [F(( )) = F(ct))"] or at the new time [F(c )) = F(( )"+ )]. The implicit method uses the latter ... [Pg.284]

Consequently, the implicit method will be stable even for the poor choice of time step h. However, in order to achieve an appropriate accuracy, the step size h has to be chosen reasonably small. This simple example differs from most practical applications in one very important aspect. In this case, it was simple, using algebra, to rewrite the original implicit formula as an explicit one for evaluation. This is usually not the case in practical applications. In such cases, the implicit method is more complex to use, and it involves solving fory +i, using indirect means. [Pg.92]

The implicit multistep methods add stability but require more computation to evaluate the implicit part. In addition, the error coefficient of the Adams-Moulton method of order k is smaller than that of the Adams Bashforth method of the same order. As a consequence, the implicit methods should give improved accuracy. In fact, the error coefficient for the imphcit fourth-order Adams Moulton method is 19/720, and for the explicit fourth-order Adams Bashforth method it is 251/720. The difference is thus about an order of magnitude. Pairs of exphcit and implicit multistep methods of the same order are therefore often used as predictor-corrector pairs. In this case, the explicit method is used to calculate the solution,, at v +i. Furthermore, the imphcit method (corrector) uses y + to calculate /(x +i,y +i), which replaces /(x +i,y +i). This allows the solution, y +i, to be improved using the implicit method. The combination of the Adams Bashforth and the Adams Moulton methods as predictor orrector pairs is implemented in some ODE solvers. The Matlab odel 13 solver is an example of a variable-order Adams Bashforth Moulton multistep solver. [Pg.94]

There are many variants on these ideas. For example, one can form a scheme in the pressure-saturation formulation where the pressure is imphcit, as usual, but in the pressure equation the saturation is evaluated at the start of the time step, and in the saturation equation the scheme is fiiUy implicit in all variables. This gives improved stability compared to the IMPES scheme, but it is not as stable as the fully implicit method. [Pg.129]

Another group of methods for testing 3D models that implicitly take into account many of the criteria listed above involve 3D profiles and statistical potentials [87,216]. These methods evaluate the environment of each residue in a model with respect to the expected environment as found in the high resolution X-ray structures. Programs implementing this approach include VERIFY3D [216], PROSA [217], HARMONY [218], and ANOLEA [120]. [Pg.295]

The First-Zero Method of Correlation Function Analysis. For the purpose of a practical graphical evaluation of the linear crystallinity, Eq. (8.67) can be applied to a renormalized correlation function y (x/Lapp). The method which has been proposed by Goderis et al. [162] is based on the implicit assumption that the first zero, Jto, of the real correlation function is shifted by the same factor as is the position of its first maximum, Lapp. [Pg.161]

Nevertheless, it is clear to us that the field of psychopathology is undergoing a transformation. There have been dramatic advances in quantitative methods that allow researchers to evaluate the basic premise behind our nosological system. Thus far the implicit assumption of the DSM was that psychiatric disorders are well represented by categorical diagnoses. This assumption is not necessarily true and may be valid only for certain mental disorders. We believe that all DSM entities must be tested using taxometrics (with CCK or non-CCK procedures). If all diagnoses are tested, we are likely to find that many of them are best conceptualized as continua. [Pg.174]


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