Ilya Boykov

Prof. Dr. Ilya Boykov

Penza State University
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Research Focus & Metrics

Academic Career Length

55Years (1972-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2012 in Differential Equations
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Ilya BoykovIlya Boykov
Ilya Boykov
We suggest a continuous method for solving nonlinear operator equations in Banach spaces. The proof of the convergence of the method is based on stability criteria for solutions of differential equations. The implementation of the method does not require the construction of inverse operators. Criteria for the global convergence are derived.

1 June 2010 in Applied Numerical Mathematics
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Journal Article
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Ilya BoykovIlya Boykov
Ilya Boykov
EVE.S. Ventsel
E.S. Ventsel
ABA.I. Boykova
A.I. Boykova

1 June 2009 in Applied Numerical Mathematics
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Journal Article
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Ilya BoykovIlya Boykov
Ilya Boykov
EVE.S. Ventsel
E.S. Ventsel
ABA.I. Boykova
A.I. Boykova

1 May 2018 in Applied Numerical Mathematics
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Journal Article
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Ilya BoykovIlya Boykov
Ilya Boykov
VRVladimir Roudnev
Vladimir Roudnev
ABA.I. Boykova
A.I. Boykova
OBO.A. Baulina
O.A. Baulina

1 September 2003 in Differential Equations
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Ilya BoykovIlya Boykov
Ilya Boykov
Aleksandr TyndaAleksandr Tynda
Aleksandr Tynda

1 July 2020 in Axioms
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Journal Article
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Ilya BoykovIlya Boykov
Ilya Boykov
VRVladimir Roudnev
Vladimir Roudnev
ABAlla Boykova
Alla Boykova
We propose an iterative projection method for solving linear and nonlinear hypersingular integral equations with non-Riemann integrable functions on the right-hand sides. We investigate hypersingular integral equations with second order singularities. Today, hypersingular integral equations of this type are widely used in physics and technology. The convergence of the proposed method is based on the Lyapunov stability theory of solutions of ordinary differential equation systems. The advantage of the method for linear equations is in simplicity of unique solvability verification for the approximate equations system in terms of the operator logarithmic norm. This makes it possible to estimate the norm of the inverse matrix for an approximating system. The advantage of the method for nonlinear equations is that neither the existence or reversibility of the nonlinear operator derivative is required. Examples are given illustrating the effectiveness of the proposed method.