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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]

For example, the SHAKE algorithm [17] freezes out particular motions, such as bond stretching, using holonomic constraints. One of the differences between SHAKE and the present approach is that in SHAKE we have to know in advance the identity of the fast modes. No such restriction is imposed in the present investigation. Another related algorithm is the Backward Euler approach [18], in which a Langevin equation is solved and the slow modes are constantly cooled down. However, the Backward Euler scheme employs an initial value solver of the differential equation and therefore the increase in step size is limited. [Pg.272]

The results in the prior two sections were for the Macroscopic multipole and PME solvers in isolation. A complete MD simulation involves much more than these routines. In addition to computing the short range interactions from bonding forces, etc., the particle positions and velocities need to be updated each timestep. Additionally, efficient MD programs recognize that the... [Pg.465]

Fig. 6. Wallclock time for a complete run of SigmaX with various solvers. In each case, 23,832 water molecules are simulated for 1000 minor timesteps of 2 fs the Coulomb solver (PME or PMTA) was called every 6 minor timesteps. Details of the solvers used are in Table 1. Fig. 6. Wallclock time for a complete run of SigmaX with various solvers. In each case, 23,832 water molecules are simulated for 1000 minor timesteps of 2 fs the Coulomb solver (PME or PMTA) was called every 6 minor timesteps. Details of the solvers used are in Table 1.
Solver subroutines dealing with the assembly of elemental matrices and solution of the global set of algebraic equations. [Pg.197]

Frontal solution requires very intricate bookkeeping for tracking coefficients and making sure that all of the stiffness equations have been assembled and fully reduced. The process time requirement in frontal solvers is hence larger than a straightforward band solver for equal size problems. [Pg.205]

Another consequence of using this strategy is that, unlike band solver routines, global node numbering in frontal solvers may be done in a completely arbitrary manner. How ever, better computer economy is achieved if an element numbering which minimizes front width is used. In general, manipulation of... [Pg.205]

SOLVER Assembles elemental stiffness equations into a banded global matrix, imposes boundary conditions and solves the set of banded equations using the LU decomposition method (Gerald and Wheatley, 1984). SOLVER calls the following 4 subroutines. ... [Pg.212]

Figure 7.1 Arrangement of the global matrix in the band-solver subroutine... Figure 7.1 Arrangement of the global matrix in the band-solver subroutine...
Harris, D. C. Nonlinear Least-Squares Curve Litting with Microsoft Excel Solver, /. Chem. Educ. 1998, 75, 119-121. [Pg.134]

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]

Definition / An expert system is a computer program that manipulates large amounts of symboHc knowledge using quaUtative techniques, to solve problems that can otherwise be solved only by expert human problem solvers. Expert systems capture the human problem solver s expertise in the form of domain-specific knowledge and domain-independent problem-solving strategies. [Pg.530]

Definition 2 is phrased in terms of knowledge-based systems rather than expert systems. No reference is made to expert human problem solvers. Definition 2 captures the sense that the representation and manipulation of knowledge is the source of such a system s power, whether or not that knowledge is dkecdy eHcited from a human expert. [Pg.530]

D. Navinchandra, "Case-Based Reasoning in CYCLOPS, A Design Problem Solver," in Ref. 82. [Pg.542]

Petzold, L. R. A Description of DASSL A Differential-Algebraic System Solver, Sandia National Laboratory Report SAND82-8637 also in Stepleman, R. S. et al., eds. IMACS Trans, on Scientific Computing, vol. 1, pp. 65-68. [Pg.423]

Solution of the algebraic equations. For creeping flows, the algebraic equations are hnear and a linear matrix equation is to be solved. Both direct and iterative solvers have been used. For most flows, the nonlinear inertial terms in the momentum equation are important and the algebraic discretized equations are therefore nonlinear. Solution yields the nodal values of the unknowns. [Pg.673]

An interlock is a protec tive response initiated on the detection of a process hazard. The interlock system consists of the measurement devices, logic solvers, and final control elements that recognize the hazard and initiate an appropriate response. Most interlocks consist of one or more logic conditions that detect out-of-hmit process conditions and respond by driving the final control elements to the safe states. For example, one must specify that a valve fails open or fails closed. [Pg.797]

House logic-solver components of BPCS, and safety instrumented systems (SIS) in a controlled environment... [Pg.119]

J.K. Dukowicz, A General, Non-Iterative Riemann Solver for Godunov s Method, J. Comput. Phys. 61 (1985). [Pg.351]

Nonlinear least squares curve fitting using the Microsoft Solver is reviewed in Appendix B. [Pg.173]

The pre-processor consists of inputting a problem into a CFD program using a friendly interface, which is transformed into a suitable format for the solver. The user activities at this stage involve ... [Pg.784]

The flow pattern is ealeulated from eonservation equations for mass and mometum, in eombination with the Algebraie Stress Model (ASM) for the turbulent Reynolds stresses, using the Fluent V3.03 solver. These equations ean be found in numerous textbooks and will not be reiterated here. Onee the flow pattern is known, the mixing and transport of ehemieal speeies ean be ealeulated from the following model equation ... [Pg.795]


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A Macro to Provide Regression Statistics for the Solver

Adaptive Poisson Boltzmann solver

Adaptive Poisson Boltzmann solver APBS)

Annex M - General purpose versus safety logic solvers

Applying Gershgorins theorem to study the convergence of iterative linear solvers

CFD solver

CPLEX solvers

CPLEX solvers version

Chemist, as problem solver

Close coupling solvers

Conjugate gradient solvers

Constraint solver

Convergence solver

DICOPT solvers

Differential algebraic equation solver

Direct solver

Engineering equation solver

Equation solvers

Evolutionary solver

Excel Solver

Excel solver constraints

Frontal solver

GAMS DICOPT solver

General Problem Solver

General problem solver system

General purpose logic solver background

General purpose logic solvers for safety applications

INDEX solver

Implicit solvers

Installing the Solver Add-In

Iterative linear solvers

Iterative linear solvers Conjugate Gradient

Iterative linear solvers Conjugate Gradient method

Iterative solver

Kinetic equation direct solver

Logic solver

Logic solver controller requirements

Logic solver defined

Logic solver fundamentals

Logic solver redundancy

Logic solver safety integrated systems

Logic solver safety requirements

Logic solver systems

MATLAB ode45 solver

Microsoft Excel Solver

Microsoft Excel Solver Routine

Modeling Navier-Stokes Solvers

Multigrid solvers

Navier-Stokes Solvers

Neural network solvers

Non-Linear Regression Using the Solver

Nonlinear Equation Solver Program

Numerical techniques nonlinear equation solver

ODE Solver Algorithm

ODE solver

Ode45 solver

Of ODE solvers

Of PDE solvers

Optimisation in Excel, the Solver

Optimisation solver

Options, Solver

Ordinary Differential Equation Solver

Ordinary differential equation solver, ODE

Ordinary differential equation solvers isothermal reactors

Ordinary differential equations solver packages

Overview of ODE-IVP solvers in MATLAB

PDE solvers

Physically separate and diverse SIS logic solver

Poisson-Boltzmann solver

Problem solver

Problem solvers types

Problem-solver, role

Quadratic equation Solver solution

SIS logic solver application development software

SOLVER, nonlinear analysis

Safety instrumentation systems logic solver

Safety integrity level logic solver

Solution Using Solver

Solver Parameters and Running Initial Model

Solver Settings and Numerical Submodels

Solver Sources

Solver case-study

Solver function

Solver parameters

Solver tool

Solver tool in Excel

Solver validation

Solver validation systems

Solver, Computational fluid dynamics

Some Advice on Writing Multigrid Solvers

Sparse solvers

Spreadsheet Solver

Stiff ordinary differential equations solver

Story Problem Solver

TK Solver

The Excel Solver Add-In

Using Excel solver

Using PDE solver

Using ode45 solver

Using solver function

Using solver function solution

Using the Solver Add-In

Using the Solver An Example

Using the Solver for Optimization

Using the Solver to Perform Non-Linear Least-Squares Curve Fitting

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