Abstract
In continuation to what we started from developing the B-spline functions and putting them in n-dimensional to solve mathematical models in n-dimensions, we present in this article a new structure for the quintic B-spline collocation algorithm in n-dimensional. The quintic B-spline collocation algorithm is shown in three different formats: one, two, and three dimensional. These constructs are critical for solving mathematical models in different fields. The proposed method’s efficiency and accuracy are illustrated by their application to a few two- and three-dimensional test problems. We use other numerical methods available in the literature to make comparisons.
1 Introduction
Solving n-dimensional mathematical models is the main concern of most researchers now due to the importance of these models in the physical, engineering, chemical, fluid mechanics, plasma, and other sciences. Many researchers have tried to solve these models analytically by using some analytical and approximate methods as we see in [1,2,3, 4,5,6, 7,8,9, 10,11]. Recently, a problem has emerged that most of the mathematical models in some sciences, including fluid mechanics and physics, are difficult to deal with analytically, so some researchers began to think about solving these models numerically. One of the methods that have been used in solving n-dimensional models is the finite difference method, as we see in [12,13]. Some researchers also tried to develop some methods that were used to solve mathematical models in a dimension to be suitable for solving n-dimensional models, such as spectral methods [14,15]. However, there was difficulty in using spectral methods to solve most nonlinear models. From here Gardner and Gardner introduced a two-dimensional bi-cubic B-spline finite element to solve two-dimensional equations [16]. Some researchers used the bi-cubic B-spline finite element method to solve some different mathematical models [17,18,19]. Raslan and Ali started thinking about generalizing all forms of B-spline functions. They presented on n-dimensional quadratic B-splines [20], new structure formulations for cubic B-spline collocation method in three and four dimensions [21], construct extended cubic B-Splines in n-dimensional for solving n-dimensional partial differential equations [22], and a new structure to n-dimensional trigonometric cubic B-spline functions for solving n-dimensional partial differential equations [23].
In this work, we continue developing the B-spline collocation functions. We present the quintic B-spline collocation algorithm in n-dimensional with some numerical examples to investigate the method’s efficacy and accuracy.
This article is structured as follows. Section 2 presents quintic B-spline formulations in n-dimensional. Section 3 contains the error estimates. Numerical examples are introduced in Section 4. Finally, the conclusion part is given.
2 N-dimensional quintic B-spline functions
In this section, we present the n-dimensional quintic B-splines.
2.1 One dimension quintic B-spline [24,25]
Let
where
The above analysis yields the following theorem:
Theorem 1
The solution of one dimension differential equation (DE) using the collocation method with basis quintic B-spline can be determined by Eq. (2).
2.2 Two-dimensional quintic B-spline
This subsection shows the formula for a two-dimensional quintic B-spline on a rectangular grid divided into regular rectangular finite elements on both sides.
where
Which peaks on the knot
The above analysis yields the following theorem:
2.3 The three-dimensional quintic B-spline
Now, we obtain the quintic B-spline in three measurement approximates on a framework divided into limited components of sides
where
Also,
The above analysis yields the following theorem:
3 The numerical outcomes
Now, we must know whether this method, which was developed by presenting its constructions in different dimensions, is accurate and effective or not. To prove that this method is of high accuracy, we present in this section various numerical examples in different dimensional. We also show some figures of the results obtained. In addition provide comparisons of our results with pre-existing results.
The first test problem: [20]
We take the test problem in the two-dimensional in the following form:
The exact solution to that problem is given as follows:
We take the boundary conditions of the first problem in the following form:
By substituting from (4)–(6) into (16) with (18) we obtain the numerical results as in Table 1.
The computational results to the problem at
|
|
Numerical results | Exact results | Absolute error | Quadratic B-Spline [20] |
|---|---|---|---|---|
| 0.1 | 0.36844 | 0.36949 |
|
|
| 0.2 | 0.80013 | 0.80230 |
|
|
| 0.3 | 1.28303 | 1.28617 |
|
|
| 0.4 | 1.79142 | 1.79535 |
|
|
| 0.5 | 2.27968 | 2.28422 |
|
|
| 0.6 | 2.67341 | 2.67835 |
|
|
| 0.7 | 2.85727 | 2.86243 |
|
|
| 0.8 | 2.65855 | 2.66375 |
|
|
| 0.9 | 1.82495 | 1.83010 |
|
|
We contrasted the exact solutions with the results of the two-dimensional quintic B-spline technique using a mesh divided into

The exact results at

The exact results at

Three-dimensional graph for numerical results.
The second test problem: [14,15,19,20,26]
We take the test problem in the two-dimensional in the following form:
The following is the exact solution to that problem:
We take the boundary conditions to the third problem in the following form:
By substituting from (4)–(6) into (19) with (21) we obtain the numerical results as in Table 2.
The numerical results for the problem are available at
|
|
Numerical results | Exact results | Absolute error |
|---|---|---|---|
| 0.2 |
|
|
|
| 0.4 |
|
|
|
| 0.6 |
|
|
|
| 0.8 |
|
|
|
Table 2 presents the results of the two-dimensional quintic B-spline technique at

The numerical results are compared to the exact results at

The numerical results are compared to the exact results at

Three-dimensional graph for numerical results.
We compare the results of the proposed method to the results of various methods [14,15,19,20,26] that are shown in Table 5 using mesh
Table 3 shows the maximum absolute error based on the approach used to solve the problem.
The maximum absolute error
| The proposed method | Quadratic B-spline approach [20] | MCBDQM approach [19] | Spline-based DQM approach [26] | Haar wavelet approach [14] | Spectral collocation approach based on Haarwavelets [15] |
|---|---|---|---|---|---|
|
|
|
|
|
|
|
MCBDQM: modified cubic B-spline differential quadrature method; DQM: B-spline differential quadrature method.
The third test problem: [20]
We take the test problem in the three-dimensional in the following form:
The exact solution to that problem is given as follows:
We take the boundary conditions to the fourth problem in the following form:
By substituting from (8)–(15) into (22) with (24) we obtain the numerical results as in Table 4.
The numerical results for test problem at
|
|
Numerical solution | Exact solution | Absolute error | Quadratic B-spline method [20] |
|---|---|---|---|---|
| 0.1 | 0.016868 | 0.0168984 |
|
|
| 0.2 | 0.033142 | 0.0332012 |
|
|
| 0.3 | 0.048073 | 0.0481595 |
|
|
| 0.4 | 0.060716 | 0.0608280 |
|
|
| 0.5 | 0.069891 | 0.0700264 |
|
|
| 0.6 | 0.074136 | 0.0742955 |
|
|
| 0.7 | 0.071658 | 0.0718456 |
|
|
| 0.8 | 0.060271 | 0.0604965 |
|
|
| 0.9 | 0.050423 | 0.0376082 |
|
|
Table 4 presents comparison between our results with the results of Quadratic B-spline technique using mesh

The numerical results with exact results at

Three-dimensional graph for numerical results.
The fourth test problem: [15]
We take the test problem in the two-dimensional in the following form:
The following is the exact solution to that problem:
We take the boundary conditions to the third problem in the following form:
By substituting from (8)–(15) into (25) with (27) we obtain the numerical results as in Table 5.
The numerical results for the test problem are available at
|
|
Numerical results | Exact results | Absolute error | Maximum absolute error of our method | Maximum absolute error [15] |
|---|---|---|---|---|---|
| 0.2 |
|
|
|
|
|
| 0.4 |
|
|
|
— | — |
| 0.6 |
|
|
|
— | — |
| 0.8 |
|
|
|
— | — |
In Table 5 we present our results of the two-dimensional quintic B-spline technique using mesh

The numerical results are compared to the exact results at

Three-dimensional graph for numerical results.
4 Conclusion
Perhaps by the end of this project, we will have made a significant contribution to tackling some of the challenges that most academics in various domains have when dealing with n-dimensional mathematical models. The research problem is really important, and we feel that the majority of scholars are eagerly awaiting the findings. After watching some researchers discuss their findings on partial differential equation solutions in one, two, and three dimensions, we realized how difficult it is for them to cope with these models as the dimension grows. As a result, we chose to extend the quintic B-spline method, which had previously been utilized to answer one-dimensional mathematical problems, and we were able to present it in two and three dimensions. We used numerical examples of various dimensional to assess the correctness and efficacy of the produced forms. When the numerical results were compared to the actual solution, we find that the formulas that were determined are efficient. We think that a major contribution has been made toward solving problems involving partial differential equations in various dimensional from this perspective. As part of our long-term research, we would generalize a few other B-Splines shapes to serve as solutions to differential equations in n-dimensional.
Acknowledgments
All authors thank the editor chief of the journal, the editor who follows up the paper, and all employees of the journal.
-
Funding information: Not applicable.
-
Author contributions: The authors declare that the study was realized in collaboration with equal responsibility. All authors read and approved the final manuscript.
-
Conflict of interest: The authors declare that they have no conflict of interests.
-
Data availability statement: Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study.
References
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© 2022 K. R. Raslan et al., published by De Gruyter
This work is licensed under the Creative Commons Attribution 4.0 International License.
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