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Low-Regret and No-Regret Control of Tumor Development to Fill in Some Limitations of Classical Optimal Control Theory

Year 2024, Volume: 12 Issue: 2, 106 - 111, 28.10.2024
https://izlik.org/JA86DE93XJ

Abstract

This paper is about a Cauchy problem for a parabolic type linear operator. The main system describes the spread and development of a tumor in an organism. From the classical optimal control theory, we show some results of variation calculations. And an optimality system for the considered control problem is established.It is known that the classical techniques of optimal control theory are ineffective for certain evolutionary parabolic systems type with missing data.

References

  • [1] H.P. Greenspan. On the growth on cell culture and solid tumors, Theoretical Biology 56 (1976), 229-242.
  • [2] H.P. Greenspan. Models for the growth of a solid tumor by diffusion, Studies Appl. Math. 52 (1972), 317-340.
  • [3] M. Kimmel and A. Swierniak. Control Theory Approach to Cancer Chemotherapy: Benefiting from Phase Dependence and Overcoming Drug Resistance, Lect. Notes Math. Vol. 1872, 2006 pp. 185-221.
  • [4] U. Ledzewicz and H. Sachattlerl. Drug resistance in cancer chemotherapy as an optimal control problem, Discrete and continuous dynamical systemsseries- B Volume 6, Number 1, January 2006,pp. 129-150.
  • [5] M.Ngom, I.Ly and D.Seck. Chemotherapy of a tumor by optimal control approach. Mathematica Aeterna, Vol. 2, 2012, no. 9, 779 - 803.
  • [6] M.Ngom, I.Ly and D.Seck. Study of a tumor by shape and topological optimization. Applied Mathematical Sciences, Vol. 5, 2011, no. 1, 1-21.
  • [7] A.Friedman. Free boundary problems arising in tumor models Mat. Acc. Lincei (2004) s.9, v.15 : 161-168
  • [8] A.Friedman and F.Reitich Analysis of a mathematical model for the growth of tumors J. Math. Biol. (1999) 38: 262-284.
  • [9] M.A. J. Chaplain. The development of a spatial pattern in a model for cancer growth, Experimental and Theoretical Advances in Biological Pattern Formation (H. G. Othmer, P. K. Maini, and J. D. Murray, eds.), Plenum Press, 1993, pp. 45-60.
  • [10] J. L. Lions. Controle a moindres regrets des systemes distribues. C.R.Acad. Sci. Paris, Ser. I Math.315, (1992), 125312.
  • [11] M. L. L. Ane, C. Seck and A. S`ene Boundary Exact Controllability of the Heat Equation in 1D by Strategic Actuators and a Linear Surjective Compact Operator Applied Mathematics,(2020), 991-999.
  • [12] E. A. Jai. Quelques problemes de controle propres aux systemes distribues. Annals of University of Craiova. Math. Comp. Sci. Ser. 2003;30:137-153.
  • [13] O. Nakoulima, A. Omrane, J. Velin. Perturbations a moindres regrets dans les systemes distribues a donnees manquantes. C. R. Acad. Sci. Ser. I Math. (Paris), (2000);330:801 806.
  • [14] G. W. Swan, B. Dumitru, J. Claire M. Gisele. Low-regret control for a fractional wave equation with incomplete data, Baleanu et al. Advances in Difference Equations, 2016, DOI 10.1186/s13662-016-0970-8.
  • [15] S. Cui, A. Friedman. Analysis of a mathematical of the effect inhibitors on the growth of tumors. Mathematical Biosciences 164 (2000), 103-137.
  • [16] C. Seck, M. L. L. Ane and A. Sene Boundary Exact Controllability of the Heat Equation in 1D by Strategic Actuators and a Linear Surjective Compact Operator Applied Mathematics, 2020, 11, 991-999: Applied Mathematics , 11, 991-999, https://doi.org/10.4236/am.2020.1110065.
  • [17] S.Cui and A.Friedman. Analysis of a mathematical model of the growth of necrotic tumors Journal of Mathematical Analysis and Applications 255, 636-677 (2001).
  • [18] J. D. Djida, G. Mophou and I. Area. Optimal Control of Diffusion Equation with Fractional Time Derivative with Nonlocal and Nonsingular Mittag-Leffler Kernel Springer, 2018.
  • [19] B.V. Bazaly and A.Friedman A Free Boundary Probleme for an Elliptic-Parabolic System : Application to a Model of Tumor Growth Communication in Partial Differential Equations Vol. 28 Nos 3 and 4 text(2003), pp. 517-560.
  • [20] C. Seck, M. Ngom, L. Ndiaye A study on non-classical optimal control and dymamic regional controllability by scalability of tumor evolution .International Journal of Numerical Methods and Applications © Pushpa Publishing House, Prayagraj, India, http://www.pphmj.com http://dx.doi.org/10.17654/0975045223004 Volume 23, Number 1, (2023), Pages 67-85 P-ISSN: 0975-0452.

Year 2024, Volume: 12 Issue: 2, 106 - 111, 28.10.2024
https://izlik.org/JA86DE93XJ

Abstract

References

  • [1] H.P. Greenspan. On the growth on cell culture and solid tumors, Theoretical Biology 56 (1976), 229-242.
  • [2] H.P. Greenspan. Models for the growth of a solid tumor by diffusion, Studies Appl. Math. 52 (1972), 317-340.
  • [3] M. Kimmel and A. Swierniak. Control Theory Approach to Cancer Chemotherapy: Benefiting from Phase Dependence and Overcoming Drug Resistance, Lect. Notes Math. Vol. 1872, 2006 pp. 185-221.
  • [4] U. Ledzewicz and H. Sachattlerl. Drug resistance in cancer chemotherapy as an optimal control problem, Discrete and continuous dynamical systemsseries- B Volume 6, Number 1, January 2006,pp. 129-150.
  • [5] M.Ngom, I.Ly and D.Seck. Chemotherapy of a tumor by optimal control approach. Mathematica Aeterna, Vol. 2, 2012, no. 9, 779 - 803.
  • [6] M.Ngom, I.Ly and D.Seck. Study of a tumor by shape and topological optimization. Applied Mathematical Sciences, Vol. 5, 2011, no. 1, 1-21.
  • [7] A.Friedman. Free boundary problems arising in tumor models Mat. Acc. Lincei (2004) s.9, v.15 : 161-168
  • [8] A.Friedman and F.Reitich Analysis of a mathematical model for the growth of tumors J. Math. Biol. (1999) 38: 262-284.
  • [9] M.A. J. Chaplain. The development of a spatial pattern in a model for cancer growth, Experimental and Theoretical Advances in Biological Pattern Formation (H. G. Othmer, P. K. Maini, and J. D. Murray, eds.), Plenum Press, 1993, pp. 45-60.
  • [10] J. L. Lions. Controle a moindres regrets des systemes distribues. C.R.Acad. Sci. Paris, Ser. I Math.315, (1992), 125312.
  • [11] M. L. L. Ane, C. Seck and A. S`ene Boundary Exact Controllability of the Heat Equation in 1D by Strategic Actuators and a Linear Surjective Compact Operator Applied Mathematics,(2020), 991-999.
  • [12] E. A. Jai. Quelques problemes de controle propres aux systemes distribues. Annals of University of Craiova. Math. Comp. Sci. Ser. 2003;30:137-153.
  • [13] O. Nakoulima, A. Omrane, J. Velin. Perturbations a moindres regrets dans les systemes distribues a donnees manquantes. C. R. Acad. Sci. Ser. I Math. (Paris), (2000);330:801 806.
  • [14] G. W. Swan, B. Dumitru, J. Claire M. Gisele. Low-regret control for a fractional wave equation with incomplete data, Baleanu et al. Advances in Difference Equations, 2016, DOI 10.1186/s13662-016-0970-8.
  • [15] S. Cui, A. Friedman. Analysis of a mathematical of the effect inhibitors on the growth of tumors. Mathematical Biosciences 164 (2000), 103-137.
  • [16] C. Seck, M. L. L. Ane and A. Sene Boundary Exact Controllability of the Heat Equation in 1D by Strategic Actuators and a Linear Surjective Compact Operator Applied Mathematics, 2020, 11, 991-999: Applied Mathematics , 11, 991-999, https://doi.org/10.4236/am.2020.1110065.
  • [17] S.Cui and A.Friedman. Analysis of a mathematical model of the growth of necrotic tumors Journal of Mathematical Analysis and Applications 255, 636-677 (2001).
  • [18] J. D. Djida, G. Mophou and I. Area. Optimal Control of Diffusion Equation with Fractional Time Derivative with Nonlocal and Nonsingular Mittag-Leffler Kernel Springer, 2018.
  • [19] B.V. Bazaly and A.Friedman A Free Boundary Probleme for an Elliptic-Parabolic System : Application to a Model of Tumor Growth Communication in Partial Differential Equations Vol. 28 Nos 3 and 4 text(2003), pp. 517-560.
  • [20] C. Seck, M. Ngom, L. Ndiaye A study on non-classical optimal control and dymamic regional controllability by scalability of tumor evolution .International Journal of Numerical Methods and Applications © Pushpa Publishing House, Prayagraj, India, http://www.pphmj.com http://dx.doi.org/10.17654/0975045223004 Volume 23, Number 1, (2023), Pages 67-85 P-ISSN: 0975-0452.
There are 20 citations in total.

Details

Primary Language English
Subjects Applied Mathematics
Journal Section Research Article
Authors

Cheikh Seck

Mouhamadou Ngom

Submission Date March 20, 2023
Acceptance Date October 7, 2024
Publication Date October 28, 2024
IZ https://izlik.org/JA86DE93XJ
Published in Issue Year 2024 Volume: 12 Issue: 2

Cite

APA Seck, C., & Ngom, M. (2024). Low-Regret and No-Regret Control of Tumor Development to Fill in Some Limitations of Classical Optimal Control Theory. Konuralp Journal of Mathematics, 12(2), 106-111. https://izlik.org/JA86DE93XJ
AMA 1.Seck C, Ngom M. Low-Regret and No-Regret Control of Tumor Development to Fill in Some Limitations of Classical Optimal Control Theory. Konuralp J. Math. 2024;12(2):106-111. https://izlik.org/JA86DE93XJ
Chicago Seck, Cheikh, and Mouhamadou Ngom. 2024. “Low-Regret and No-Regret Control of Tumor Development to Fill in Some Limitations of Classical Optimal Control Theory”. Konuralp Journal of Mathematics 12 (2): 106-11. https://izlik.org/JA86DE93XJ.
EndNote Seck C, Ngom M (October 1, 2024) Low-Regret and No-Regret Control of Tumor Development to Fill in Some Limitations of Classical Optimal Control Theory. Konuralp Journal of Mathematics 12 2 106–111.
IEEE [1]C. Seck and M. Ngom, “Low-Regret and No-Regret Control of Tumor Development to Fill in Some Limitations of Classical Optimal Control Theory”, Konuralp J. Math., vol. 12, no. 2, pp. 106–111, Oct. 2024, [Online]. Available: https://izlik.org/JA86DE93XJ
ISNAD Seck, Cheikh - Ngom, Mouhamadou. “Low-Regret and No-Regret Control of Tumor Development to Fill in Some Limitations of Classical Optimal Control Theory”. Konuralp Journal of Mathematics 12/2 (October 1, 2024): 106-111. https://izlik.org/JA86DE93XJ.
JAMA 1.Seck C, Ngom M. Low-Regret and No-Regret Control of Tumor Development to Fill in Some Limitations of Classical Optimal Control Theory. Konuralp J. Math. 2024;12:106–111.
MLA Seck, Cheikh, and Mouhamadou Ngom. “Low-Regret and No-Regret Control of Tumor Development to Fill in Some Limitations of Classical Optimal Control Theory”. Konuralp Journal of Mathematics, vol. 12, no. 2, Oct. 2024, pp. 106-11, https://izlik.org/JA86DE93XJ.
Vancouver 1.Cheikh Seck, Mouhamadou Ngom. Low-Regret and No-Regret Control of Tumor Development to Fill in Some Limitations of Classical Optimal Control Theory. Konuralp J. Math. [Internet]. 2024 Oct. 1;12(2):106-11. Available from: https://izlik.org/JA86DE93XJ
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