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Novel Symmetric Numerical Methods for Solving Symmetric Mathematical Problems

TLDR
In this article, the existence and uniqueness of the solution of the above-mentioned equations are investigated, and some stable methods with the degree p < 8 are constructed to solve some problems, and obtained results are compared with other known methods.
Abstract
The mathematical model for many problems is arising in different industries of natural science, basically formulated using differential, integral and integro-differential equations. The investigation of these equations is conducted with the help of numerical integration theory. It is commonly known that a class of problems can be solved by applying numerical integration. The construction of the quadrature formula has a direct relation with the computation of definite integrals. The theory of definite integrals is used in geometry, physics, mechanics and in other related subjects of science. In this work, the existence and uniqueness of the solution of above-mentioned equations are investigated. By this way, the domain has been defined in which the solution of these problems is equivalent. All proposed four problems can be solved using one and the same methods. We define some domains in which the solution of one of these problems is also the solution of the other problems. Some stable methods with the degree p<=8 are constructed to solve some problems, and obtained results are compared with other known methods. In addition, symmetric methods are constructed for comparing them with other well-known methods in some symmetric and asymmetric mathematical problems. Some of our constructed methods are compared with Gauss methods. In addition, symmetric methods are constructed for comparing them with other well-known methods in some symmetric and asymmetric mathematical problems. Some of our constructed methods are compared with Gauss methods. On the intersection of multistep and hybrid methods have been constructed multistep methods and have been proved that these methods are more exact than others. And also has been shown that, hybrid methods constructed here are more exact than Gauss methods. Noted that constructed here hybrid methods preserves the properties of the Gauss method.

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Journal ArticleDOI

A new computational approach to the fractional-order Liouville equation arising from mechanics of water waves and meteorological forecasts

TL;DR: In this paper , a divergent collection of the fractional Liouville equation's exact solutions in the context of beta-derivative is analyzed using the improved F-expansion, modified extended tanh, exponential rational function, and (g′)−expansion procedures.
Journal ArticleDOI

A Two-Workshop Collaborative, Integrated Scheduling Algorithm considering the Prescheduling of the Root-Subtree Processes

TL;DR: In this paper , a two workshop collaborative integrated scheduling algorithm considering the prescheduling of the Root-Subtree processes is proposed, and a process conflict adjustment strategy for the horizontal equipment constraints is proposed.
Journal ArticleDOI

On an Approximate Solution of the Cauchy Problem for Systems of Equations of Elliptic Type of the First Order

TL;DR: In this paper , a regularized solution of the Cauchy problem for the matrix factorization of Helmholtz's equation in an unbounded two-dimensional domain is presented.
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A Flexible Integrated Scheduling Algorithm for Dynamic Determination Processing Equipment Considering the Root-Subtree Vertical and Horizontal Pre-Scheduling

TL;DR: In this article , a flexible integrated scheduling algorithm for dynamic determination processing equipment considering the Root-Subtree vertical and horizontal pre-scheduling (FISA-DEVH) is proposed.
References
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Book

The Numerical Solution of Integral Equations of the Second Kind

TL;DR: In this paper, a brief discussion of integral equations is given, and the Nystrom method is used to solve multivariable integral equations on a piecewise smooth planar boundary.
Book

Numerical Methods for Ordinary Differential Systems: The Initial Value Problem

TL;DR: In this paper, the authors introduce numerical methods for nonlinear stability theory and linear multi-step methods for linear stability theory, including Predictor-Corrector Methods and Runge-Kutta Methods.
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