scholarly journals On the Theory of Relaxation

1953 ◽  
Vol 1 (3) ◽  
pp. 101-110 ◽  
Author(s):  
A. R. Mitchell ◽  
D. E. Rutherford

§ 1. When a numerical method of obtaining an approximate solution of a linear differential equation is employed, the process involves two distinct types of approximation. The region of integration having been covered with a regular net, the differential equation and the appropriate boundary conditions are replaced by finite difference equations which are linear equations in the values of the dependent variable at the nodes of the net.

1982 ◽  
Vol 104 (3) ◽  
pp. 432-437 ◽  
Author(s):  
R. Manohar ◽  
J. W. Stephenson

A new method is proposed for obtaining finite difference equations for the solution of linear partial differential equations. The method is based on representing the approximate solution locally on a mesh element by polynomials which satisfy the differential equation. Then, by collocation, the value of the approximate solution, and its derivatives at the center of the mesh element may be expressed as a linear combination of neighbouring values of the solution.


2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Xiaobin Guo ◽  
Dequan Shang

The approximate solution ofnth-order fuzzy linear differential equations in which coefficient functions maintain the sign is investigated by the undetermined fuzzy coefficients method. The differential equations is converted to a crisp function system of linear equations according to the operations of fuzzy numbers. The fuzzy approximate solution of the fuzzy linear differential equation is obtained by solving the crisp linear equations. Some numerical examples are given to illustrate the proposed method. It is an extension of Allahviranloo's results.


2015 ◽  
Vol 2015 ◽  
pp. 1-9
Author(s):  
Xinjian Zhang ◽  
Xiongwei Liu

A unified reproducing kernel method for solving linear differential equations with functional constraint is provided. We use a specified inner product to obtain a class of piecewise polynomial reproducing kernels which have a simple unified description. Arbitrary order linear differential operator is proved to be bounded about the special inner product. Based on space decomposition, we present the expressions of exact solution and approximate solution of linear differential equation by the polynomial reproducing kernel. Error estimation of approximate solution is investigated. Since the approximate solution can be described by polynomials, it is very suitable for numerical calculation.


2019 ◽  
Vol 16 (07) ◽  
pp. 1850115 ◽  
Author(s):  
Nizami A. Gasilov ◽  
Müjdat Kaya

In many real life applications, the behavior of the system is modeled by a boundary value problem (BVP) for a linear differential equation. If the uncertainties in the boundary values, the right-hand side function and the coefficient functions are to be taken into account, then in many cases an interval boundary value problem (IBVP) arises. In this study, for such an IBVP, we propose a different approach than the ones in common use. In the investigated IBVP, the boundary values are intervals. In addition, we model the right-hand side and coefficient functions as bunches of real functions. Then, we seek the solution of the problem as a bunch of functions. We interpret the IBVP as a set of classical BVPs. Such a classical BVP is constructed by taking a real number from each boundary interval, and a real function from each bunch. We define the bunch consisting of the solutions of all the classical BVPs to be the solution of the IBVP. In this context, we develop a numerical method to obtain the solution. We reduce the complexity of the method from [Formula: see text] to [Formula: see text] through our analysis. We demonstrate the effectiveness of the proposed approach and the numerical method by test examples.


2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Vildan Yazıcı ◽  
Zahir Muradoğlu

For a system obtained by placing more than two elastic plates side by side, the transmission conditions are obtained at the common boundaries. Finite difference equations are developed for the problem of plates with internal hinges and applied for determination of the response of a system assembled from three different plates with different mechanical constraints between adjacent plates in this study. An algorithm is written to find out how long the size of the plates should be in order to obtain the desired amount of bending against the force affecting the system under different boundary conditions. The bisection and multigrid methods are used for this. These two methods are compared based on the obtained data.


Author(s):  
Michael Wibmer

Abstract We establish several finiteness properties of groups defined by algebraic difference equations. One of our main results is that a subgroup of the general linear group defined by possibly infinitely many algebraic difference equations in the matrix entries can indeed be defined by finitely many such equations. As an application, we show that the difference ideal of all difference algebraic relations among the solutions of a linear differential equation is finitely generated.


1964 ◽  
Vol 60 (4) ◽  
pp. 897-907 ◽  
Author(s):  
M. Wadsworth ◽  
A. Wragg

AbstractThe replacement of the second space derivative by finite differences reduces the simplest form of heat conduction equation to a set of first-order ordinary differential equations. These equations can be solved analytically by utilizing the spectral resolution of the matrix formed by their coefficients. For explicit boundary conditions the solution provides a direct numerical method of solving the original partial differential equation and also gives, as limiting forms, analytical solutions which are equivalent to those obtainable by using the Laplace transform. For linear implicit boundary conditions the solution again provides a direct numerical method of solving the original partial differential equation. The procedure can also be used to give an iterative method of solving non-linear equations. Numerical examples of both the direct and iterative methods are given.


1983 ◽  
Vol 23 (03) ◽  
pp. 544-552 ◽  
Author(s):  
D.K. Ponting ◽  
B.A. Foster ◽  
P.F. Naccache ◽  
M.O. Nicholas ◽  
R.K. Pollard ◽  
...  

Ponting, D.K., Ponting, D.K., Atomic Energy Research Establishment Foster, B.A., Atomic Energy Research Establishment Naccache, P.F., Atomic Energy Research Establishment Nicholas, M.O., Atomic Energy Research Establishment Pollard, R.K., Pollard, R.K., Atomic Energy Research Establishment Rae, J., SPE, Atomic Energy Research Establishment Banks, D., British Natl. Oil Corp. Walsh, S.K., Atomic Energy Establishment Abstract This paper describes Program for Oil Reservoir Simulation (PORES), an efficient general-purpose black-oil simulator now in production use for modeling North Sea fields. The frilly implicit finite-difference equations are solved for each time step with a Newton-Raphson procedure. The resulting large sets of linear equations are procedure. The resulting large sets of linear equations are usually solved simultaneously by a new and powerful iterative method that uses a preconditioned conjugate gradient algorithm with an enforced column-sum condition to accelerate convergence. A sequential solution option is available, and direct matrix inversion methods also are provided. Gas condensate problems are handled by a variable switching technique. Four examples are presented to illustrate the power and efficiency of the presented to illustrate the power and efficiency of the program. program. Introduction PORES is a general-purpose three-phase fully implicit PORES is a general-purpose three-phase fully implicit finite-difference oil-reservoir simulator. It was developed to exploit the stability of the fully implicit equations to provide a package capable of efficiently solving widely differing types of problems without the danger of numerical instability. The program has been in production use for the U.K. Dept. of Energy (DEn), the British Natl. Oil Corp., and the British Gas Corp. for the past 2 years. This paper describes the main features of the PORES program. The finite-difference equations describing the flow of oil, water, and gas are formulated in terms of residuals associated with each phase for every cell of the reservoir. The resulting fully implicit equations are linearized by a Newton-Raphson iteration scheme. Convergence of the nonlinear iterations is monitored by substituting successive iterates into the finite-difference equations and evaluating the root mean square (RMS) residual. The linear equations that arise at each nonlinear iteration can be solved by iterative or direct methods. The iterative method is a preconditioned conjugate gradient algorithm with an enforced column-sum condition to ensure material conservation and to accelerate the iteration process. The form of preconditioning used is particularly process. The form of preconditioning used is particularly suited to reservoir simulation problems that contain an inherent directionality. The direct solver is based on Gaussian elimination with D4 ordering. Both types of solution include the effects of off-band terms arising from the inclusion of multilayer wells. The effect of flow between non-neighboring pairs of reservoir gridblocks can also be included. The linear equations may be solved fully simultaneously or a number of phases may be treated sequentially. The sequential method performs an approximate factorization of the Jacobian matrix while employing a column-sum condition to maintain material balance. Although the sequential option is efficient on easy problems, we have found that many North Sea applications require the extra stringency of a simultaneous solution. Computer core requirements can be reduced by allocating storage for only the active cells in the reservoir. For large problems this can reduce memory requirements by 50% and in exceptional cases by as much as 75%. The program contains a number of additional features to improve user convenience.A micro- or minicomputer-based color graphics facility enables interrogation of an interface file produced from a simulation run. produced from a simulation run.One option generates directional pseudo functions on a prescribed coarse mesh from the results of a fine-grid simulation.An aquifer model based on fault connections between large aquifer blocks and any number of reservoir gridblocks is available, in addition to analytical models. JPT P. 544


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