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Separation of Roots of Systems of Nonlinear Equations. Stochastic Approach

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Abstract

In this work, we consider the actual problem of separating the roots of nonlinear systems of equations in the case of many variables. The known method of reducing the problem of solving the system to an equivalent extremal problem, which is supposed to be solved by one of the stochastic optimization methods, is used. As the latter, the modeling method of annealing simulation and its modification, which are especially interesting because they allow effective implementation on quantum computers, are chosen. Since quantum computers based on simulated annealing demonstrate quantum superiority, the obtained results can be useful in solving systems of equations on these computers.

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REFERENCES

  1. E. Polak, Computational Methods in Optimization: A Unified Approach (Academic, New York, 1971; Mir, Moscow, 1974).

  2. S. Kirkpatrick, C. D. Gelatt, and M. Vecchi, “Optimization by simulated annealing,” Science 220, 671–680 (1983).

    Article  MathSciNet  MATH  Google Scholar 

  3. L. Stella, Studies of Classical and Quantum Annealing, PhD Thesis (SISSA, Trieste, 2005). https://web.archive.org/web/20060516151710/.

  4. W. K. Hastings, “Monte Carlo sampling methods using Markov chains and their applications,” Biometrika 57, 97–109 (1970).

    Article  MathSciNet  MATH  Google Scholar 

  5. N. Metropolis, A. W. Rosenbluth, M. N. Rosenbluth, A. H. Teller, and E. Teller, “Equations of state calculations by fast computing machines,” J. Chem. Phys. 21, 1087–1091 (1953).

    Article  MATH  Google Scholar 

  6. S. M. Ermakov, D. V. Kulikov, and S. N. Leora, “Towards the analysis of the simulated annealing method in the multiextremal case,” Vestn. St. Petersburg Univ.: Math. 50, 132–137 (2017). https://doi.org/10.3103/S1063454117020042

    Article  MathSciNet  MATH  Google Scholar 

  7. S. Gubian, Y. Xiang, B. Suomela, and J. Hoeng, Pakage GenSA (2022). https://ran.rprojet.org/web/pakages/GenSA/GenSA.pdf. Accessed February 21, 2023.

  8. M. Maehler, P. Rousseeuw, A. Struyf, M. Hubert, K. Hornik, M. Studer, P. Roudier, J. Gonzalez, K. Kozlowski, E. Shubert, and K. Murphy, Pakage Luster (2022). https://ran.rprojet.org/web/pakages/luster/luster.pdfluster.pdf. Accessed February 21, 2023.

  9. L. Kaufman and P. J. Rousseeuw, Finding Groups in Data: An Introduction to Cluster Analysis (Wiley, New York, 2009).

    MATH  Google Scholar 

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ACKNOWLEDGMENTS

We are grateful to He Ping, undergraduate of the Department of Statistical Modeling, who took part in certain stages of the work.

Funding

The work was supported by St. Petersburg State University, project no. 93024916.

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Correspondence to S. M. Ermakov or S. N. Leora.

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The authors declare that they have no conflicts of interest.

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Translated by A. Ivanov

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Ermakov, S.M., Leora, S.N. Separation of Roots of Systems of Nonlinear Equations. Stochastic Approach. Vestnik St.Petersb. Univ.Math. 56, 164–171 (2023). https://doi.org/10.1134/S1063454123020061

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  • DOI: https://doi.org/10.1134/S1063454123020061

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