This study presents a generalization of the DD Stancu operator reported in the literature by combining it with the lambda Bernstein operator. Using the basis functions of the proposed operator, geometric modeling applications related to vascular visualization, botanical form representation, and entomological form modeling are presented; thus, the role of approximation theory in mathematical modeling and the aforementioned fields is emphasized. The biological modeling and botanical illustration generated using the basis functions of the operator demonstrate the effectiveness of the method in representing organic shapes by enabling the λ-parameter to capture with high precision the natural forms of leaves and butterflies, their internal curves, and venation structures. The model, developed to represent structural changes such as narrowing and widening in vascular geometry, was designed solely as a geometric visualization tool rather than as a validated medical simulation or diagnostic method, and is made available for further studies.
Citation: Emine Güven, Nazmiye Gönül Bilgin. Approximation with a hybrid DD Stancu operator: Applications to coronary vessel visualization, image representation, and geometric modeling[J]. AIMS Mathematics, 2026, 11(7): 22277-22315. doi: 10.3934/math.2026902
This study presents a generalization of the DD Stancu operator reported in the literature by combining it with the lambda Bernstein operator. Using the basis functions of the proposed operator, geometric modeling applications related to vascular visualization, botanical form representation, and entomological form modeling are presented; thus, the role of approximation theory in mathematical modeling and the aforementioned fields is emphasized. The biological modeling and botanical illustration generated using the basis functions of the operator demonstrate the effectiveness of the method in representing organic shapes by enabling the λ-parameter to capture with high precision the natural forms of leaves and butterflies, their internal curves, and venation structures. The model, developed to represent structural changes such as narrowing and widening in vascular geometry, was designed solely as a geometric visualization tool rather than as a validated medical simulation or diagnostic method, and is made available for further studies.
| [1] | K. Weierstrass, Über die analytische Darstellbarkeit sogenannter willkürlicher Functionen einer reellen Veränderlichen, In: Sitzungsberichte der Königlich Preußischen Akademie der Wissenschaften zu Berlin, 1885,789–805. |
| [2] | S. Bernstein, Démonstration du théorème de Weierstrass fondée sur le calcul des probabilités, Soobshch. Khar'k. Mat. Obs., 13 (1912), 1–2. |
| [3] | G. G. Lorentz, Bernstein polynomials, 1953. |
| [4] | P. Bézier, Numerical control: mathematics and applications, Translated by AR Forrest, 1972). |
| [5] | P. de Casteljau, Outillages méthodes calcul, Technical Report, Paris: André Citroën Automobiles SA, 1959. |
| [6] | T. Lyche, J. L. Merrien, Bézier curves and Bernstein polynomials, In: Exercises in Computational Mathematics with MATLAB, Berlin: Springer, 2014. https://doi.org/10.1007/978-3-662-43511-3_7 |
| [7] | J. Hoschek, D. Lasser, Fundamentals of computer aided geometric design, 1993. |
| [8] | L. V. Kantorovich, Sur certains développements suivant les polynômes de la forme de S. Bernstein, I, II, C. R. Acad. URSS, 563 (1930), 595–600. |
| [9] | I. Chlodowsky, Sur le développement des fonctions définies dans un intervalle infini en séries de polynomes de M. S. Bernstein, Compos. Math., 4 (1937), 380–393. |
| [10] | J. L. Durrmeyer, Une formule d'inversion de la transformée de Laplace: Applications à la théorie des moments, 1967. |
| [11] | D. D. Stancu, Approximation of functions by a new class of polynomial operators, Rev. Roum. Math. Pures, 13 (1968), 1173–1194. |
| [12] | G. M. Phillips, On generalized Bernstein polynomials, In: Numerical Analysis: A. R. Mitchell 75th Birthday Volume, 1996,263–269. https://doi.org/10.1142/9789812812872_0018 |
| [13] | V. Gupta, R. P. Agarwal, Convergence estimates in approximation theory, Swıtzerland: Springer, 2014. https://doi.org/10.1007/978-3-319-02765-4 |
| [14] | V. A. Baskakov, An instance of a sequence of linear positive operators in the space of continuous functions, Dokl. Akad. Nauk SSSR, 113 (1957), 249–251. |
| [15] | F. Schurer, Linear positive operators in approximation theory, 1965. |
| [16] |
A. D. Gadjiev, A. M. Ghorbanalizadeh, Approximation properties of a new type Bernstein-Stancu polynomials of one and two variables, Appl. Math. Comput., 216 (2010), 890–901. https://doi.org/10.1016/j.amc.2010.01.099 doi: 10.1016/j.amc.2010.01.099
|
| [17] |
S. Yıldız, N. S. Bayram, On P-equi-statistical relative convergence in sequences of fuzzy-valued functions with applications to Korovkin-type approximation, Filomat, 39 (2025), 11621–11636. https://doi.org/10.2298/FIL2532621Y doi: 10.2298/FIL2532621Y
|
| [18] |
M. Mursaleen, K. J. Ansari, A. Khan, Some approximation results by (p, q)-analogue of Bernstein-Stancu operators, Appl. Math. Comput., 264 (2015), 392–402. https://doi.org/10.1016/j.amc.2015.03.135 doi: 10.1016/j.amc.2015.03.135
|
| [19] |
N. G. Bilgin, Y. Kaya, M. Eren, Security of image transfer and innovative results for (p, q)-Bernstein-Schurer operators, AIMS Math., 9 (2024), 23812–23836. https://doi.org/10.3934/math.20241157 doi: 10.3934/math.20241157
|
| [20] |
S. Herdem, S. Erkovan, On the construction of iterative methods in (p, q)-calculus, Numer. Algor., 2026. https://doi.org/10.1007/s11075-025-02300-9 doi: 10.1007/s11075-025-02300-9
|
| [21] |
G. Icoz, A Kantorovich variant of a new type Bernstein-Stancu polynomials, Appl. Math. Comput., 218 (2012), 8552–8560. https://doi.org/10.1016/j.amc.2012.02.017 doi: 10.1016/j.amc.2012.02.017
|
| [22] | N. G. Bilgin, E. Güven, On a new type of DD Stancu operators, In: 14th International Conference on Engineering and Natural Sciences, 2022. |
| [23] |
G. Bascanbaz-Tunca, A note on Stancu operators with three parameters, Bull. Transilv. Univ. Brasov Ser. III, 67 (2025), 55–70. https://doi.org/10.31926/but.mif.2025.5.67.1.4 doi: 10.31926/but.mif.2025.5.67.1.4
|
| [24] |
A. Alotaibi, On the approximation process of shifted-knots bivariate Stancu-type Kantorovich operators, J. Math., 2026 (2026), 8454636. https://doi.org/10.1155/jom/8454636 doi: 10.1155/jom/8454636
|
| [25] | Z. Ye, X. Long, X. M. Zeng, Adjustment algorithms for Bézier curve and surface, In: 2010 5th International Conference on Computer Science and Education, China, 2010, 1712–1716. https://doi.org/10.1109/ICCSE.2010.5593563 |
| [26] |
Q. B. Cai, B. Y. Lian, G. Zhou, Approximation properties of λ-Bernstein operators, J. Inequal. Appl., 2018 (2018), 6. https://doi.org/10.1186/s13660-018-1653-7 doi: 10.1186/s13660-018-1653-7
|
| [27] |
Q. Cai, R. Aslan, Note on a new construction of Kantorovich form q-Bernstein operators related to shape parameter λ, Comput. Model. Eng. Sci., 130 (2022), 1479–1493. https://doi.org/10.32604/cmes.2022.018338 doi: 10.32604/cmes.2022.018338
|
| [28] |
M. Ayman-Mursaleen, M. Nasiruzzaman, N. Rao, M. Dilshad, K. S. Nisar, Approximation by the modified λ-Bernstein-polynomial in terms of basis function, AIMS Math., 9 (2024), 4409–4426. https://doi.org/10.3934/math.2024217 doi: 10.3934/math.2024217
|
| [29] |
X. L. Qiu, M. Bodur, Q. B. Cai, A Bézier variant of (λ, μ)-Bernstein-Kantorovich-Stancu operators, J. Inequal. Appl., 2026 (2026), 21. https://doi.org/10.1186/s13660-026-03436-5 doi: 10.1186/s13660-026-03436-5
|
| [30] |
Q. B. Cai, G. Torun, Ü. Dinlemez Kantar, Approximation properties of generalized λ-Bernstein-Stancu-type operators, J. Math., 2021 (2021), 5590439. https://doi.org/10.1155/2021/5590439 doi: 10.1155/2021/5590439
|
| [31] |
T. Acar, A. Aral, Weighted approximation by new Bernstein-Chlodowsky-Gadjiev operators, Filomat, 27 (2013), 371–380. https://doi.org/10.2298/FIL1302371A doi: 10.2298/FIL1302371A
|
| [32] |
M. Mursaleen, K. J. Ansari, A. Khan, Approximation by Kantorovich type q-Bernstein-Stancu operators, Complex Anal. Oper. Theory, 11 (2017), 85–107. https://doi.org/10.1007/s11785-016-0572-1 doi: 10.1007/s11785-016-0572-1
|
| [33] |
R. Yang, J. Xiong, F. Cao, Multivariate Stancu operators defined on a simplex, Appl. Math. Comput., 138 (2003), 189–198. https://doi.org/10.1016/S0096-3003(02)00088-7 doi: 10.1016/S0096-3003(02)00088-7
|
| [34] |
Z. P. Lin, G. Torun, E. Kangal, Ü. D. Kantar, Q. B. Cai, On the properties of the modified λ-Bernstein-Stancu operators, Symmetry, 16 (2024), 1276. https://doi.org/10.3390/sym16101276 doi: 10.3390/sym16101276
|
| [35] |
V. Gupta, Kantorovich variant of Stancu operators, Filomat, 36 (2022), 5107–5117. https://doi.org/10.2298/FIL2215107G doi: 10.2298/FIL2215107G
|
| [36] |
D. Malinowski, O. Bochniak, K. Luterek-Puszyńska, M. Puszyński, A. Pawlik, Genetic risk factors related to coronary artery disease and role of transforming growth factor beta 1 polymorphisms, Genes, 14 (2023), 1425. https://doi.org/10.3390/genes14071425 doi: 10.3390/genes14071425
|
| [37] |
R. McPherson, A. Tybjaerg-Hansen, Genetics of coronary artery disease, Circ. Res., 118 (2016), 564–578. https://doi.org/10.1161/CIRCRESAHA.115.306566 doi: 10.1161/CIRCRESAHA.115.306566
|
| [38] |
S. Zhang, I. Day, S. Ye, Nicotine induced changes in gene expression by human coronary artery endothelial cells, Atherosclerosis, 154 (2001), 277–283. https://doi.org/10.1016/S0021-9150(00)00475-5 doi: 10.1016/S0021-9150(00)00475-5
|
| [39] |
B. Messner, D. Bernhard, Smoking and cardiovascular disease: mechanisms of endothelial dysfunction and early atherogenesis, Arterioscler. Thromb. Vasc. Biol., 34 (2014), 509–515. https://doi.org/10.1161/ATVBAHA.113.300156 doi: 10.1161/ATVBAHA.113.300156
|
| [40] |
J. S. Hill, M. R. Hayden, J. Frohlich, P. H. Pritchard, Genetic and environmental factors affecting the incidence of coronary artery disease in heterozygous familial hypercholesterolemia, Arterioscler. Thromb., 11 (1991), 290–297. https://doi.org/10.1161/01.ATV.11.2.290 doi: 10.1161/01.ATV.11.2.290
|
| [41] |
M. G. Levin, D. Klarin, T. L. Assimes, M. S. Freiberg, E. Ingelsson, J. Lynch, et al., Genetics of smoking and risk of atherosclerotic cardiovascular diseases: A mendelian randomization study, JAMA Netw. Open, 4 (2021), e2034461. https://doi.org/10.1001/jamanetworkopen.2020.34461 doi: 10.1001/jamanetworkopen.2020.34461
|
| [42] |
A. V. Khera, C. A. Emdin, I. Drake, P. Natarajan, A. G. Bick, N. R. Cook, et al., Genetic risk, adherence to a healthy lifestyle, and coronary disease, N. Engl. J. Med., 375 (2016), 2349–2358. https://doi.org/10.1056/NEJMoa1605086 doi: 10.1056/NEJMoa1605086
|
| [43] |
N. L. Benowitz, A. D. Burbank, Cardiovascular toxicity of nicotine: Implications for electronic cigarette use, Trends Cardiovas. Med., 26 (2016), 515–523. https://doi.org/10.1016/j.tcm.2016.03.001 doi: 10.1016/j.tcm.2016.03.001
|
| [44] |
A. Yilmaz Ceylan, B. Simsek, The formulae and symmetry property of Bernstein type polynomials related to special numbers and functions, Symmetry, 16 (2024), 1159. https://doi.org/10.3390/sym16091159 doi: 10.3390/sym16091159
|
| [45] |
D. Canlı, S. Senyurt, Bézier curves and surfaces with the generalized α-Bernstein operator, Symmetry, 17 (2025), 187. https://doi.org/10.3390/sym17020187 doi: 10.3390/sym17020187
|
| [46] | G. E. Farin, Curves and surfaces for CAGD: A practical guide, Morgan Kaufmann, 2002. |
| [47] |
A. Tas, G. Mutlu Avinc, Architectural designs inspired by nature and mathematical models, Archit. Eng., 10 (2025), 3–14. https://doi.org/10.23968/2500-0055-2025-10-3-3-14 doi: 10.23968/2500-0055-2025-10-3-3-14
|
| [48] | P. Prusinkiewicz, A. Lindenmayer, The algorithmic beauty of plants, Springer-Verlag, 1990. |
| [49] |
X. A. Han, Y. Ma, X. Huang, The cubic trigonometric Bézier curve with two shape parameters, Appl. Math. Lett., 22 (2009), 226–231. https://doi.org/10.1016/j.aml.2008.03.015 doi: 10.1016/j.aml.2008.03.015
|
| [50] | L. Piegl, W. Tiller, The NURBS book, Springer Science & Business Media, 2012. |
| [51] | V. Pătrașcu, Gray level image enhancement using the Bernstein polynomials, 2014. https://doi.org/10.48550/arXiv.1412.5769 |
| [52] | A. Effland, M. Rumpf, S. Simon, K. Stahn, B. Wirth, Bézier curves in the space of images, In: Scale Space and Variational Methods in Computer Vision (SSVM 2015), Cham: Springer, 2015. https://doi.org/10.1007/978-3-319-18461-6_30 |
| [53] |
B. Berkels, A. Effland, M. Rumpf, Time discrete geodesic paths in the space of images, SIAM J. Imaging Sci., 8 (2015), 1457–1488. https://doi.org/10.1137/140970719 doi: 10.1137/140970719
|
| [54] |
S. Bashir, D. Ahmad, G. Ali, Exploring q-Bernstein-Bézier surfaces in Minkowski space: Analysis, modeling, and applications, PLoS One, 19 (2024), e0299892. https://doi.org/10.1371/journal.pone.0299892 doi: 10.1371/journal.pone.0299892
|
| [55] |
D. F. Young, F. Y. Tsai, Flow characteristics in models of arterial stenoses—Ⅰ. Steady flow, J. Biomech., 6 (1973), 395–410. https://doi.org/10.1016/0021-9290(73)90099-7 doi: 10.1016/0021-9290(73)90099-7
|
| [56] |
E. J. Topol, High-performance medicine: the convergence of human and artificial intelligence, Nat. Med., 25 (2019), 44–56. https://doi.org/10.1038/s41591-018-0300-7 doi: 10.1038/s41591-018-0300-7
|
| [57] |
I. Karakılıc, S. Karakılıc, G. Budakcı, F. Ozger, Bézier curves and surfaces with the blending (α, λ, s)-Bernstein basis, Symmetry, 17 (2025), 219. https://doi.org/10.3390/sym17020219 doi: 10.3390/sym17020219
|
| [58] |
J. R. Cebral, F. Mut, D. Sforza, R. Löhner, E. Scrivano, P. Lylyk, et al., Clinical application of image-based CFD for cerebral aneurysms, Int. J. Numer. Meth. Bio., 27 (2011), 977–992. https://doi.org/10.1002/cnm.1373 doi: 10.1002/cnm.1373
|
| [59] |
J. Egger, S. Grosskopf, C. Nimsky, T. Kapur, B. Freisleben, Modeling and visualization techniques for virtual stenting of aneurysms and stenoses, Comput. Med. Imag. Grap., 36 (2012), 183–203. https://doi.org/10.1016/j.compmedimag.2011.12.002 doi: 10.1016/j.compmedimag.2011.12.002
|
| [60] |
J. Pham, S. Wyetzner, M. R. Pfaller, D. W. Parker, D. L. James, A. L. Marsden, svMorph: Interactive geometry-editing tools for virtual patient-specific vascular anatomies, J. Biomech. Eng., 145 (2023), 031001. https://doi.org/10.1115/1.4056055 doi: 10.1115/1.4056055
|
| [61] |
P. D. Morris, A. Narracott, H. von Tengg-Kobligk, D. A. S. Soto, S. Hsiao, A. Lungu, et al., Computational fluid dynamics modelling in cardiovascular medicine, Heart, 102 (2016), 18–28. https://doi.org/10.1136/heartjnl-2015-308044 doi: 10.1136/heartjnl-2015-308044
|
| [62] |
J. R. Cebral, F. Mut, J. Weir, C. M. Putman, Association of hemodynamic characteristics and cerebral aneurysm rupture, AJNR Am. J. Neuroradiol., 32 (2011), 264–270. https://doi.org/10.3174/ajnr.A2274 doi: 10.3174/ajnr.A2274
|
| [63] |
J. Eves, A. Sudarsanam, J. Shalhoub, D. Amiras, Augmented reality in vascular and endovascular surgery: Scoping review, JMIR Serious Games, 10 (2022), e34501. https://doi.org/10.2196/34501 doi: 10.2196/34501
|
| [64] |
E. Bullitt, G. Gerig, S. M. Pizer, W. Lin, S. R. Aylward, Measuring tortuosity of the intracerebral vasculature from MRA images, IEEE T. Med. Imaging, 22 (2003), 1163–1171. https://doi.org/10.1109/TMI.2003.816964 doi: 10.1109/TMI.2003.816964
|
| [65] | C. Ware, Information visualization: Perception for design, Elsevier, 2012. |
| [66] | V. G. Duffy, Human digital modeling in design, In: Handbook of Human Factors and Ergonomics, 2012, 1016–1030. https://doi.org/10.1002/9781118131350.ch35 |
| [67] |
A. Haiser, A. Aydin, B. Kunduzi, K. Ahmed, P. Dasgupta, A systematic review of simulation-based training in vascular surgery, J. Surg. Res., 279 (2022), 409–419. https://doi.org/10.1016/j.jss.2022.05.009 doi: 10.1016/j.jss.2022.05.009
|
| [68] | R. I. Nabiyev, R. Ziatdinov, A mathematical design and evaluation of Bernstein-Bézier curves' shape features using the laws of technical aesthetics, Math. Des. Tech. Aesthet., 2 (2014), 6–13. |
| [69] |
N. G. Bilgin, G. Bozma, M. Riaz, Location selection criteria for a military base in border region using N-AHP method, AIMS Math., 9 (2024), 7529–7551. https://doi.org/10.3934/math.2024365 doi: 10.3934/math.2024365
|
| [70] |
A. Alotaibi, M. Nasiruzzaman, S. A. Mohiuddine, On the convergence of Bernstein-Kantorovich-Stancu shifted knots operators involving Schur parameter, Complex Anal. Oper. Theory, 18 (2024), 4. https://doi.org/10.1007/s11785-023-01423-y doi: 10.1007/s11785-023-01423-y
|
| [71] |
M. Nasiruzzaman, A. Alotaibi, Kantorovich extension of parametric generalized q-Schurer operators and their approximation properties, Mathematics, 13 (2025), 3770. https://doi.org/10.3390/math13233770 doi: 10.3390/math13233770
|
| [72] |
Md. Nasiruzzaman, R. T. Alqahtani, S. A. Mohiuddine, Approximation properties of a new class of beta-type Szász-Mirakjan operators, J. Math., 2025 (2025), 6680828. https://doi.org/10.1155/jom/6680828 doi: 10.1155/jom/6680828
|
| [73] |
Md. Nasiruzzaman, Approximation by GBS associated properties of Szász-Mirakjan-Jakimovski-Leviatan-Kantorovich operators, Filomat, 38 (2024), 6621–6637. https://doi.org/10.2298/FIL2418621N doi: 10.2298/FIL2418621N
|
| [74] |
Y. Lin, Y. Wei, D. Chen, Y. Li, U. Erkan, A. Toktaş, et al., Cryptanalysis and improvement of a video cryptosystem via chaos and S-box, ACM T. Multim. Comput., 22 (2026), 1–28. https://doi.org/10.1145/3808699 doi: 10.1145/3808699
|
| [75] |
Y. Lin, Y. Liao, W. Zeng, Y. Wei, D. Chen, X. Yuan, et al., 3D non-degenerate hyperchaos: Design, analysis, and application in image encryption, IEEE T. Consum. Electr., 2026. https://doi.org/10.1109/TCE.2026.3672135 doi: 10.1109/TCE.2026.3672135
|