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Optimal control in a mathematical model for leukemia therapy with phase constraints

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Abstract

We examine the optimal control problem that arises in the mathematical modeling of leukemia therapy, to solve which the Pontryagin maximum principle and the penalty function method are employed. It is assumed that the drug is capable of killing not only diseased cells, but healthy cells as well. The character of the drug’s interaction with cells is described by appropriate therapy functions.

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References

  1. E. K. Afenya and C. P. Calderon, “A Brief Look at Normal Cells Decline and Inhibition in Acute Leukemia,” J. Can. Det. Prev. 20(3), 171–191 (1996).

    Google Scholar 

  2. C. L. Frenzen and J. D. Murray, “A Cell Kinetics Justification for Gompertz Equation,” SIAM J. Appl. Math. 46, 614–624 (1986).

    Article  MathSciNet  MATH  Google Scholar 

  3. M. Gyllenberg and G. F. Webb, “Quiescence As An Explanation of Gompertzian Tumor Growth,” Growth Dev. Aging 53(1), 25–33 (1989).

    Google Scholar 

  4. W. S. Kendal, “Gompertzian Growth As a Consequence of Tumor Heterogeneity,” Math. Biosci. 73, 103–107 (1985).

    Article  MathSciNet  MATH  Google Scholar 

  5. A. K. Laird, “Dynamics of Tumor Growth: Comparison of Growth and Cell Population Dynamics,” Math. Biosci. 185, 153–167 (2003).

    Article  MathSciNet  Google Scholar 

  6. L. S. Pontryagin, V. G. Boltyanskii, R. V. Gamkrelidze, and E. F. Mishchenko, The Mathematical Theory of Optimal Processes (Nauka, Moscow, 1983; Gordon and Breach, New York, 1986).

    MATH  Google Scholar 

  7. F. P. Vasil’ev, Optimization Methods (MTsNMO, Moscow, 2011) [in Russian].

    Google Scholar 

  8. N. N. Moiseev, Elements of the Theory of Optimal Systems (Nauka, Moscow, 1975) [in Russian].

    MATH  Google Scholar 

  9. A. S. Bratus, E. Fimmel, F. Nurnberg, and Y. Todorov, “On Strategies on a Mathematical Model for Leukemia Therapy,” Nonlinear Analysis: Real World Applications 13, 1044–1059 (2011).

    Article  MathSciNet  Google Scholar 

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Correspondence to A. S. Bratus.

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Original Russian Text © A.S. Bratus, A.S. Goncharov, I.T. Todorov, 2012, published in Vestnik Moskovskogo Universiteta. Vychislitel’naya Matematika i Kibernetika, 2012, No. 4, pp. 25–28.

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Bratus, A.S., Goncharov, A.S. & Todorov, I.T. Optimal control in a mathematical model for leukemia therapy with phase constraints. MoscowUniv.Comput.Math.Cybern. 36, 178–182 (2012). https://doi.org/10.3103/S0278641912040024

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  • DOI: https://doi.org/10.3103/S0278641912040024

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