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Equation solvers

In the work of King, Dupuis, and Rys [15,16], the mabix elements of the Coulomb interaction term in Gaussian basis set were evaluated by solving the differential equations satisfied by these matrix elements. Thus, the Coulomb matrix elements are expressed in the form of the Rys polynomials. The potential problem of this method is that to obtain the mabix elements of the higher derivatives of Coulomb interactions, we need to solve more complicated differential equations numerically. Great effort has to be taken to ensure that the differential equation solver can solve such differential equations stably, and to... [Pg.409]

The ubiquitousness of the personal computer and the increasing power of the program packages available for it have shifted the emphasis away from large, mainframe-based systems like PLATO. Instead, graphics are included in utihty programs such as equation solvers, spreadsheet processors, and word processors. [Pg.63]

In the equation-oriented approach, the executive organizes the equations and controls a general-purpose equation solver. The equations for material and energy balances may be grouped separately from those for the calculation of physical properties or phase equiHbria, or as ia the design of some simulators, the distinction between these groups of equations may disappear completely. [Pg.74]

To calculate the profiles and the differential capacitance of the interface numerically we have to choose a differential equation solver. However, the usual packages require that the problem is posed on a finite interval rather than on a semi-infinite interval as in our problem. In principle, we can transform the semi-infinite interval into a finite one, but the price to pay is a loss of translational invariance of the equations and the point mapped from that at infinity is singular, which may pose a problem on the solver. Most of the solvers are designed for initial-value problems while in our case we deal with a boundary-value problem. To circumvent these inconveniences we follow a procedure strongly influenced by the Lie group description. [Pg.827]

A generalized partial differential equation solver which handles simultaneous parabolic, one dimensional elliptic, ordinary and integral equations and uses B-splines with an adaptive grid was written to solve the model. Further details on the model and solution method can be found in Reference 14. [Pg.340]

It can easily be shown that for the upwind scheme all coefficients a appearing in Eq. (37) are positive [81]. Thus, no unphysical oscillatory solutions are foimd and stability problems with iterative equation solvers are usually avoided. The disadvantage of the upwind scheme is its low approximation order. The convective fluxes at the cell faces are only approximated up to corrections of order h, which leaves room for large errors on course grids. [Pg.151]

In practice, the solution of Equation 3.16 for the estimation of the parameters is not done by computing the inverse of matrix A. Instead, any good linear equation solver should be employed. Our preference is to perform first an eigenvalue decomposition of the real symmetric matrix A which provides significant additional information about potential ill-conditioning of the parameter estimation problem (see Chapter 8). [Pg.29]

Solution of the above equation using any standard linear equation solver yields Ak(i+I). The next estimate of the parameter vector, k l), is obtained as... [Pg.51]

Since most of the numerical differential equation solvers require the equations to be integrated to be of the form... [Pg.89]

If the equation solver permits it, information can also be provided about the Jacobean of dealing with stiff differential equations. The Jacobean is of the form... [Pg.90]

Equations 6.47a and 6.47b should be solved simultaneously with the state equation (Equation 6.45). The three ODEs are put into the standard form (dz/dt = differential equation solvers by setting... [Pg.98]

A parametric study was conducted using the Engineering Equation Solver (EES) software. Figure 4 illustrates the variation of the exit temperature of the heat pump (or supply temperature of the heat distribution system) in the heating mode versus COP. Normally, in heating systems, the supply temperature of the heat distribution network plays a key role in terms of exergy loss. This temperature is determined via an optimization procedure. [Pg.227]

The modeling of the internal pore diffusion of a wax-filled cylindrical single catalyst pore was accomplished by the software Comsol Multiphysics (from Comsol AB, Stockholm, Sweden) as well as by Presto Kinetics (from CiT, Rastede, Germany). Both are numerical differential equation solvers and are based on a three-dimensional finite element method. Presto Kinetics displays the results in the form of diagrams. Comsol Multiphysics, instead, provides a three-dimensional solution of the problem. [Pg.221]

Thus, it would be natural to attempt to extend the QMOM approach to handle a bivariate NDF. Unfortunately, the PD algorithm needed to solve the weights and abscissas given the moments cannot be extended to more than one variable. Other methods for inverting Eq. (125) such as nonlinear equation solvers can be used (Wright et al., 2001 Rosner and Pykkonen, 2002), but in practice are computationally expensive and can suffer from problems due to ill-conditioning. [Pg.282]

Hindmarsh, A., "Gear Ordinary Differential Equation Solver", UDID-3001, Rev. 1, August 20, 1972, Computer Center Library, University of California, Berkeley, CA. [Pg.142]

SEQS simultaneous equation solver. CET, PO Box 2029, Norman OK 73070. Twenty simultaneous equations can be solved. The program seems to be superior to the one in POLYMATH. [Pg.13]

Solution procedure. Because the differential equations must be solved numerically, a two-stage flow of information is needed in the computer program used to solve the problem. Examine Figure E 14.2c. The code GRG2 (refer to Chapter 8) was coupled with the differential equation solver LSODE, resulting in the following exit conditions ... [Pg.491]

During the time intervals between random eddy events, (4.37) is solved numerically using the scalar fields that result from the random rearrangement process as initial conditions. A standard one-dimensional parabolic equation solver with periodic boundary conditions (BCs) is employed for this step. The computational domain is illustrated in Fig. 4.3. For a homogeneous scalar field, the evolution of t) will depend on the characteristic length... [Pg.131]

Interestingly, the spectral transform Lanczos algorithm can be made more efficient if the filtering is not executed to the fullest extent. This can be achieved by truncating the Chebyshev expansion of the filter,76,81 or by terminating the recursive linear equation solver prematurely.82 In doing so, the number of vector-matrix multiplications can be reduced substantially. [Pg.302]

Equation (4.78) is a set of nonlinear algebraic equation and may be solved using various techniques [64], Often the nonlinear differential Eq. (4.77) are solved to the steady-state condition in place of the algebraic equations using the stiff ordinary differential equation solvers described in Chapter 2 [65], See Appendix I for more information on available numerical codes. [Pg.240]

CONP Kee, R. J., Rupley, F. and Miller, J. A. Sandia National Laboratories, Livermore, CA. A Fortran program (conp.f) that solves the time-dependent kinetics of a homogeneous, constant pressure, adiabatic system. The program runs in conjunction with CHEMKIN and a stiff ordinary differential equation solver such as LSODE (lsode.f, Hindmarsh, A. C. LSODE and LSODI, Two Initial Value Differential Equation Solvers, ACM SIGNUM Newsletter, 15, 4, (1980)). The simplicity of the code is particularly valuable for those not familiar with CHEMKIN. [Pg.753]

Notice that KACSYKA has obtained the roots analytically and that numeric approximations have not been made. This demonstrates a fundamental difference between a Computer Algebra system and an ordinary numeric equation solver, namely the ability to obtain a solution without approximations. 1 could have given KACSYKA a "numeric" cubic equation in X by specifying numeric values for A and B. KACSYKA then would have solved the equation and given the numeric roots approximately or exactly depending upon the specified command. [Pg.104]


See other pages where Equation solvers is mentioned: [Pg.2270]    [Pg.51]    [Pg.80]    [Pg.358]    [Pg.151]    [Pg.166]    [Pg.88]    [Pg.307]    [Pg.307]    [Pg.276]    [Pg.166]    [Pg.166]    [Pg.70]    [Pg.323]    [Pg.282]    [Pg.309]    [Pg.322]    [Pg.323]    [Pg.492]    [Pg.296]    [Pg.301]    [Pg.748]    [Pg.754]    [Pg.119]    [Pg.123]    [Pg.123]   
See also in sourсe #XX -- [ Pg.24 ]

See also in sourсe #XX -- [ Pg.183 ]




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