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On an application of an interval backward finite difference method for solving the one-dimensional heat conduction problem

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper concerns the interval method for solving the one-dimensional heat conduction problem. It is based on the conventional backward finite difference scheme with the appropriate local truncation error terms that are also taken into account. For the theoretical formulation of the interval approach we can show that the exact solution is included in the interval one. In practice, there are problems, for which we cannot determine the endpoints of the error term intervals exactly. Nevertheless, if we use the appropriate approximation, related to the endpoints considered, then the numerical experiments confirm that the interval solution includes the exact one.
Rocznik
Strony
463--480
Opis fizyczny
Bibliogr. 21 poz., rys., tab.
Twórcy
autor
  • Institute of Applied Mechanics, Poznan University of Technology Jana Pawla II 24, 60-965 Poznan, Poland
autor
  • Institute of Computing Science, Poznan University of Technology Piotrowo 2, 60-965 Poznan, Poland
  • Department of Computer Science, Higher Vocational State School in Kalisz Poznanska 201-205, 62-800 Kalisz, Poland
autor
  • Poznan Supercomputing and Networking Center Jana Pawla II 10, 61-139 Poznan, Poland
Bibliografia
  • 1. ANDERSON, D.A., TANNEHILL, J.C., PLETCHER, R.H. (1984) Computational Fluid Mechanics and Heat Transfer. Hemisphere Publishing, New York, NY.
  • 2. BORAWSKI, M. (2012) Vector space of increments. Control and Cybernetics 41 (1), 145–170. BURCZYNSKI, T., SKRZYPCZYK, J. (1997) Fuzzy aspects of the boundary element method. Engineering Analysis with Boundary Elements 19 (3), 209–216.
  • 3. FORNBERG, B. (1998) A Practical Guide to Pseudospectral Methods (Cambridge Monographs on Applied and Computational Mathematics). Cambridge University Press.
  • 4. GAJDA, K., JANKOWSKA, M., MARCINIAK, A., SZYSZKA, B. (2008) A Survey of Interval Runge-Kutta and Multistep Methods for Solving the Initial Value Problem. Lecture Notes in Computer Science 4967, 1361– 1371.
  • 5. HAMMER, R., HOCKs, M., KULISCH, U., RATZ, D. (1993) Numerical Toolbox for Verified Computing I. Basic Numerical Problems. Springer-Verlag, Berlin.
  • 6. HOFFMANN, T., MARCINIAK, A. (2013) Solving the Poisson Equations by an Interval Method of the Second Order. Computational Methods in Science and Technology 19 (1), 13–21.
  • 7. JANKOWSKA, M.A. (2010) Remarks on Algorithms Implemented in Some C++ Libraries for Floating-Point Conversions and Interval Arithmetic. Lecture Notes in Computer Science 6068, 436–445. JANKOWSKA, M.A. (2012) An Interval Backward Finite Difference Method for Solving the Diffusion Equation with the Position Dependent Diffusion Coefficient. Lecture Notes in Computer Science 7204, 447–456.
  • 8. JANKOWSKA, M.A. (2014) Interval Finite Difference Method for Solving the Problem of Bioheat Transfer between Blood Vessel and Tissue. Lecture Notes in Computer Science 8385, 644–655. JANKOWSKA, M.A., SYPNIEWSKA-KAMINSKA, G. (2012) An Interval Finite Difference Method for the Bioheat Transfer Problem Described by the Pennes Equation with Uncertain Parameters. Mechanics and Control 31 (2), 77–84.
  • 9. JANKOWSKA, M.A., SYPNIEWSKA-KAMINSKA, G. (2013) Interval FiniteDifference Method for Solving the One-Dimensional Heat Conduction Problem with Heat Sources. Lecture Notes in Computer Science 7782, 473– 488.
  • 10. JAULIN, L., KIEFFER, M., DIDRIT, O., WALTER, E. (2001) Applied Interval Analysis. Springer-Verlag, London.
  • 11. KOSINSKI, W., PROKOPOWICZ, P. (2004) Algebra of fuzzy numbers (in Polish). Matematyka stosowana 5, 37–63. KULISCH, U. (2013) Computer Arithmetic and Validity. Theory, Implementation, and Applications, 2nd Edition. De Gruyter, Berlin.
  • 12. MAJCHRZAK, E., MOCHNACKI, B., DZIEWONSKI, M., JASINSKI, M. (2011) Numerical modelling of hyperthermia and hypothermia processes. Computational Materials Science, PTS 1-3 Book Series: Advanced Materials Research 268–270 (3), 257–262.
  • 13. MARCINIAK, A. (2009) Selected Interval Methods for Solving the Initial Value Problem. Publishing House of Poznan University of Technology.
  • 14. MARCINIAK, A. (2012) An Interval Version of the Crank-Nicolson Method the First Approach. Lecture Notes in Computer Science 7134, 120–126.
  • 15. MOCHNACKI, B., PIASECKA-BELKHAYAT, A. (2013) Numerical Modeling of Skin Tissue Heating Using the Interval Finite Difference Method. MCB: Molecular & Cellular Biomechanics 10(3), 233–244. MOORE, R.E., KEARFOTT, R.B., CLOUD, M.J. (2009) Introduction to Interval Analysis. SIAM Philadelphia.
  • 16. NAKAO, M. (2001) Numerical verification methods for solutions of ordinary and partial differential equations. Numerical Functional Analysis and Optimization 22 (3–4), 321–356.
  • 17. NAKAO, M., KIMURA, T., KINOSHITA, K. (2013) Constructive A Priori Error Estimates fora Full Discrete Approximation of the Heat Equation. SIAM Journal on Numerical Analysis 51 (3), 1525–1541.
  • 18. PRESS, W., TEUKOLSKY, S., VETTERLING, W., FLANNERY, B. (2007) Numerical Recipes 3rd Edition: The Art of Scientific Computing. Cambridge University Press.
  • 19. SUNAGA, T. (1958) Theory of interval algebra and its application to numerical analysis. Research Association of Applied Geometry (RAAG) Memoirs 2, 29–46.
  • 20. SZYSZKA, B. (2012) The Central Difference Interval Method for Solving the Wave Equation. Lecture Notes in Computer Science 7204, 523–532.
  • 21. SZYSZKA, B. (2015) An Interval Version of Cauchy’s Problem for the Wave Equation. In: Th. E. Simos and Ch. Tsitouras, eds., AIP Conference Proceedings: International Conference on Numerical Analysis and Applied Mathematics 2014 (ICNAAM–2014), 1648, 800006-1–800006-4.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-28661c9e-6685-4658-8c27-bae649227f1b
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