V. I. Agoshkov

ORCID: 0000-0001-9055-1655
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About
Contact & Profiles
Research Areas
  • Arctic and Antarctic ice dynamics
  • Aquatic and Environmental Studies
  • Oceanographic and Atmospheric Processes
  • Numerical methods in inverse problems
  • Advanced Mathematical Modeling in Engineering
  • Geophysics and Gravity Measurements
  • Advanced Numerical Methods in Computational Mathematics
  • Differential Equations and Boundary Problems
  • Meteorological Phenomena and Simulations
  • Differential Equations and Numerical Methods
  • Marine and environmental studies
  • Geological Studies and Exploration
  • Marriage and Sexual Relationships
  • Climate variability and models
  • Heat Transfer and Mathematical Modeling
  • Material Science and Thermodynamics
  • Stability and Controllability of Differential Equations
  • Reservoir Engineering and Simulation Methods
  • Oil Spill Detection and Mitigation
  • Underwater Acoustics Research
  • Numerical methods for differential equations
  • Aerospace Engineering and Control Systems
  • Geotechnical and Geomechanical Engineering
  • Mathematical Biology Tumor Growth
  • Computational Fluid Dynamics and Aerodynamics

Walter de Gruyter (Germany)
2015-2024

Russian Academy of Sciences
2014-2023

Institute of Numerical Mathematics
2014-2023

Lomonosov Moscow State University
2017-2023

Japan Science and Technology Agency
2019-2021

Moscow State University
2021

Moscow Institute of Physics and Technology
2007-2017

University of Houston
2012-2013

École Normale Supérieure Paris-Saclay
2000

Center for Advanced Studies Research and Development in Sardinia
1994

The problem of mathematical modelling the baroclinic dynamics World Ocean and its large areas is considered. model has been developed at Institute Numerical Mathematics RAS (INMRAS) based on equations general circulation represented in generalized σ-system coordinates with a free surface hydrostatics Boussinesq approximation. computational solution technique for this multicomponent splitting flexible, hierarchically scalable modular structure. main 'cycle' decomposition complicated system...

10.1515/rjnamm.2010.036 article EN Russian Journal of Numerical Analysis and Mathematical Modelling 2010-01-01

10.1134/s0965542508080046 article EN Computational Mathematics and Mathematical Physics 2008-08-01

10.1515/rnam.1993.8.1.1 article EN Russian Journal of Numerical Analysis and Mathematical Modelling 1993-01-01

In this paper we present a new approach in the study of aorto-coronaric bypass anastomoses configurations based on small perturbation theory. The theory optimal control adjoint formulation is applied order to optimize shape zone incoming branch (the toe) into coronary. aim provide design indications perspective future development for prosthetic bypasses.

10.1137/040613287 article EN SIAM Journal on Numerical Analysis 2006-01-01

10.1134/s0001433816030142 article EN Izvestiya Atmospheric and Oceanic Physics 2016-05-01

The use of Four-Dimensional variational (4D-Var) data assimilation technology in the context sea dynamics problems, with a sensitivity analysis model results to observation errors, is presented. applied numerical ocean circulation developed at Marchuk Institute Numerical Mathematics, Russian Academy Sciences (INM RAS), splitting method and complemented by 4D-Var covariance matrices background errors. involves iterative procedures solve inverse problems so as correct surface heat fluxes for...

10.3390/jmse11061253 article EN cc-by Journal of Marine Science and Engineering 2023-06-20

A new ocean hydrothermodynamics model is developed. The problem of variational assimilation sea level function data formulated and investigated. results numerical experiments are given.

10.1515/rjnamm.2007.007 article EN Russian Journal of Numerical Analysis and Mathematical Modelling 2007-01-23

Abstract A mathematical model of the dynamics Baltic Sea is considered. problem variational assimilation sea surface temperature (SST) data formulated and studied. Based on satellite observation data, an algorithm solving inverse heat flux restoration interface two media proposed. The results numerical experiments reconstructing functions in SST are presented. influence other hydrodynamic parameters

10.1515/rnam-2015-0018 article EN Russian Journal of Numerical Analysis and Mathematical Modelling 2015-01-01

Experimental and observation data obtained from various sources are used in studying solving many problems of geophysical hydrodynamics. A method for interpolation on regular grids is presented the paper. The takes into account transport by currents allows one to improve accuracy these fields introducing 'pseudo observations'.

10.1515/rnam-2013-0005 article EN Russian Journal of Numerical Analysis and Mathematical Modelling 2013-01-01

Methods and technology have been developed to solve a wide range of problems in the dynamics sea currents assess their “impact” on objects marine environment. Technology can be used for monitoring forecasting currents, solving minimizing risks analyzing disasters associated with choice optimal course ship, assessing pollution coastal zones, etc. The includes numerical model circulation improved resolution method inverse problem contamination passive impurity, variational algorithm...

10.3390/jmse5030027 article EN cc-by Journal of Marine Science and Engineering 2017-07-12

The inverse problem of the mathematical theory tides is considered, i.e., a functions defining boundary values on liquid parts boundary. A closure equation based observation data function sea level (free surface elevation) part existence and uniqueness solution investigated. We formulate an iteration algorithm for solving studied.

10.1515/1569398053270813 article EN Russian Journal of Numerical Analysis and Mathematical Modelling 2005-01-01

In this paper we consider two nonstationary heat convection–diffusion models. The first model describes processes in the 'surface' ocean layer. second one is a 3D and propagation whole ocean. We pose identification problems for models propose methods solving posed. case of 2D model, its solution are theoretically justified.

10.1515/1569398053270787 article EN Russian Journal of Numerical Analysis and Mathematical Modelling 2005-01-01

Abstract Some inverse problems related to mathematical modelling of hydrophysical fields in water areas (seas and oceans) under the presence ‘liquid’ (open) boundaries are studied solved numerically paper. Numerical solution algorithms for these based on procedures variational data assimilation.

10.1515/rnam-2017-0013 article EN Russian Journal of Numerical Analysis and Mathematical Modelling 2017-06-01

Abstract The mathematical model of the Baltic Sea dynamics developed at Institute Numerical Mathematics RAS is considered. problem variational assimilation average daily data for sea surface temperature (SST) formulated and studied with use covariance matrices observation errors. Based on satellite data, we propose an algorithm solving inverse heat flux reconstruction surface. results numerical experiments function are presented SST data.

10.1515/rnam-2018-0013 article EN Russian Journal of Numerical Analysis and Mathematical Modelling 2018-06-09

The technology is presented for modeling and prediction of marine hydrophysical fields based on the 4D variational data assimilation technique developed at Marchuk Institute Numerical Mathematics, Russian Academy Sciences (INM RAS). solving equations hydrodynamics using multicomponent splitting, thereby an optimality system that includes adjoint covariance matrices observation errors. hydrodynamic model described by primitive in sigma-coordinate system, which solved finite-difference...

10.3390/jmse8070503 article EN cc-by Journal of Marine Science and Engineering 2020-07-09

In this paper we consider two nonstationary heat convection–diffusion models. The first model describes processes in the 'surface' ocean layer. second one is a 3D and propagation whole ocean. We pose identification problems for models propose methods solving posed. case of 2D model, its solution are theoretically justified.

10.1163/1569398053270787 article EN Russian Journal of Numerical Analysis and Mathematical Modelling 2005-02-01
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