Mathematical Methods for Engineering Applications : ICMASE 2023, Madrid, Spain, July 12–14 / edited by Víctor Gayoso Martínez, Fatih Yilmaz, Araceli Queiruga-Dios, Deolinda M.L.D. Rasteiro, Jesús Martín-Vaquero, Ion Mierluş-Mazilu

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Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Springer Proceedings in Mathematics & Statistics ; 439Publisher: Cham : Springer Nature Switzerland, 2024Publisher: Cham : Imprint: Springer, 2024Edition: 1st ed. 2024Description: 1 Online-Ressource(XI, 348 p. 1 illus.)ISBN:

9783031492181

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Additional physical formats: 9783031492174 | 9783031492198 | 9783031492204 | Erscheint auch als: 9783031492174 Druck-Ausgabe | Erscheint auch als: 9783031492198 Druck-Ausgabe | Erscheint auch als: 9783031492204 Druck-AusgabeDOI: DOI: 10.1007/978-3-031-49218-1Online resources:

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Summary: Chapter. 1. Modeling of Nitrogen, Phosphorus, and Potassium Concentrations in Lakes Affected by Soil Fertilization -- Chapter. 2. p-numerical semigroups of the triples of the sequence (an − bn)/(a − b) -- Chapter. 3. Some Identities for Balancing and Lucas-balancing Numbers in Bidimensional Version -- Chapter. 4. Sequences of uncountable iterated function systems. The convergence of the sequences of fractals and fractal measures associated -- Chapter. 5. Method of Hydrodynamic Images and Quantum Calculus in Fock-Bargmann Representation of Quantum States -- Chapter. 6. On Leonardo numbers and Fibonacci fundamental system -- Chapter. 7. A quadratic estimation approach from fading measurements subject to deception attacks -- Chapter. 8. SOLO Taxonomy in the evaluation of engineering students: a case study in mathematics -- Chapter. 9. Is Collaborative Learning a Voluntary Process? -- Chapter. 10. Elliptic Biquaternionic Sequence with Vietoris' Numbers as its Components -- Chapter. 11. Teaching mathematics in STEM education -- Chapter. 12. Application of Discrete Wavelet Transform and Tree-Based Ensemble Machine Learning for Modeling of Particulate Matter Concentrations -- Chapter. 13. Fixed Point Theorems in Orthogonal F-Metric Spaces -- Chapter. 14. New Trends on Malware Propagation: from IoT Environments to Drone Swarms -- Chapter. 15. Forms of Assessment in view of Development of Mathematical Competencies -- Chapter. 16. Deep-Control of Memory via Stochastic Optimal Control and Deep Learning -- Chapter. 17. Exponentiated Weibull Mixture Cure Model to Handle Right-Censored Data Set -- Chapter. 18. On strong fuzzy partial metric spaces -- Chapter. 19. An Application of Linear Diophantine Fuzzy Sets to the Edge Detection Techniques -- Chapter. 20. Delamination Resistance of Laminated Glass Plates Having Ethyl Vinyl Acetate, Polyvinyl Butyral and Sentryglas Plus Interlayer -- Chapter. 21. Algebraic and Quantum Mechanical Approach to Spinors -- Chapter. 22. New G-Closed Sets With Related to an Ideal -- Chapter. 23. Service-learning activity in a Statistics course -- Chapter. 24. Fermatean Fuzzy Type a Three-Way Correlation Coefficients -- Chapter. 25. On Some Gaussian Oresme Numbers.Summary: These proceedings gather selected, peer-reviewed papers presented at the IV International Conference on Mathematics and its Applications in Science and Engineering – ICMASE 2023, held on July 12–14, 2023 by the University Center of Technology and Digital Arts (U-tad) in Madrid, Spain. Papers in this volume cover new developments in applications of mathematics in science and engineering, with an emphasis on mathematical and computational modeling of real-world problems. Topics range from the use of differential equations to model mechanical structures to the employ of number theory in the development of information security and cryptography. Educational issues specific to the acquisition of mathematical competencies by engineering and science students at all university levels are also touched on. Researchers, practitioners, and university students can significantly benefit from this volume, especially those seeking advanced methods for applying mathematics to various contexts and fields.PPN: PPN: 1884810152Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SMA | ZDB-2-SXMS

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