Yuri Vassilevski


Ontology type: schema:Person     


Person Info

NAME

Yuri

SURNAME

Vassilevski

Publications in SciGraph latest 50 shown

  • 2019 INMOST Parallel Platform for Mathematical Modeling and Applications in SUPERCOMPUTING
  • 2018-07-20 An Algebraic Solver for the Oseen Problem with Application to Hemodynamics in CONTRIBUTIONS TO PARTIAL DIFFERENTIAL EQUATIONS AND APPLICATIONS
  • 2018 Numerical Basics of Bioimpedance Measurements in BIOIMPEDANCE IN BIOMEDICAL APPLICATIONS AND RESEARCH
  • 2017-12 A finite volume scheme with improved well modeling in subsurface flow simulation in COMPUTATIONAL GEOSCIENCES
  • 2017 Ani3D-Extension of Parallel Platform INMOST and Hydrodynamic Applications in SUPERCOMPUTING
  • 2017 A Hybrid Finite Volume—Finite Element Method for Modeling Flows in Fractured Media in FINITE VOLUMES FOR COMPLEX APPLICATIONS VIII - HYPERBOLIC, ELLIPTIC AND PARABOLIC PROBLEMS
  • 2017 A Nonlinear Correction FV Scheme for Near-Well Regions in FINITE VOLUMES FOR COMPLEX APPLICATIONS VIII - HYPERBOLIC, ELLIPTIC AND PARABOLIC PROBLEMS
  • 2015 The Model of Global Blood Circulation and Applications in 6TH EUROPEAN CONFERENCE OF THE INTERNATIONAL FEDERATION FOR MEDICAL AND BIOLOGICAL ENGINEERING
  • 2015 Personalized Anatomical Meshing of the Human Body with Applications in MODELING THE HEART AND THE CIRCULATORY SYSTEM
  • 2015 A Unified Approach for Computing Tsunami, Waves, Floods, and Landslides in NUMERICAL MATHEMATICS AND ADVANCED APPLICATIONS - ENUMATH 2013
  • 2014-08 A monotone nonlinear finite volume method for diffusion equations and multiphase flows in COMPUTATIONAL GEOSCIENCES
  • 2014 Nonlinear Monotone FV Schemes for Radionuclide Geomigration and Multiphase Flow Models in FINITE VOLUMES FOR COMPLEX APPLICATIONS VII-ELLIPTIC, PARABOLIC AND HYPERBOLIC PROBLEMS
  • 2014 A Finite Volume Scheme with the Discrete Maximum Principle for Diffusion Equations on Polyhedral Meshes in FINITE VOLUMES FOR COMPLEX APPLICATIONS VII-METHODS AND THEORETICAL ASPECTS
  • 2011-07-09 Application of Nonlinear Monotone Finite Volume Schemes to Advection-Diffusion Problems in FINITE VOLUMES FOR COMPLEX APPLICATIONS VI PROBLEMS & PERSPECTIVES
  • 2011-07-09 Benchmark 3D: A Monotone Nonlinear Finite Volume Method for Diffusion Equations on Polyhedral Meshes in FINITE VOLUMES FOR COMPLEX APPLICATIONS VI PROBLEMS & PERSPECTIVES
  • 2010-08-09 Acceleration of iterative solution of series of systems due to better initial guess in PARALLEL COMPUTATIONAL FLUID DYNAMICS 2008
  • 2010-06 On discrete boundaries and solution accuracy in anisotropic adaptive meshing in ENGINEERING WITH COMPUTERS
  • 2009 Anisotropic Mesh Adaptation for Solution of Finite Element Problems Using Hierarchical Edge-Based Error Estimates in PROCEEDINGS OF THE 18TH INTERNATIONAL MESHING ROUNDTABLE
  • 2008 Generation of Quasi-Optimal Meshes Based on a Posteriori Error Estimates in PROCEEDINGS OF THE 16TH INTERNATIONAL MESHING ROUNDTABLE
  • 2007-03 Computational issues related to iterative coupling of subsurface and channel flows in CALCOLO
  • 2006 Analysis of Hessian Recovery Methods for Generating Adaptive Meshes in PROCEEDINGS OF THE 15TH INTERNATIONAL MESHING ROUNDTABLE
  • 2005 On discrete boundaries and solution accuracy in anisotropic adaptive meshing in PROCEEDINGS OF THE 14TH INTERNATIONAL MESHING ROUNDTABLE
  • 2004-09 On control of adaptation in parallel mesh generation in ENGINEERING WITH COMPUTERS
  • 2004 Adaptive Grid Refinement for Computation of the Homogenized Elasticity Tensor in LARGE-SCALE SCIENTIFIC COMPUTING
  • 2004 A Parallel CG Solver Based on Domain Decomposition and Non-Smooth Aggregation in CONJUGATE GRADIENT ALGORITHMS AND FINITE ELEMENT METHODS
  • JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "affiliation": [
          {
            "affiliation": {
              "id": "https://www.grid.ac/institutes/grid.465296.a", 
              "type": "Organization"
            }, 
            "isCurrent": true, 
            "type": "OrganizationRole"
          }, 
          {
            "id": "https://www.grid.ac/institutes/grid.4886.2", 
            "type": "Organization"
          }, 
          {
            "id": "https://www.grid.ac/institutes/grid.448878.f", 
            "type": "Organization"
          }, 
          {
            "id": "https://www.grid.ac/institutes/grid.18763.3b", 
            "type": "Organization"
          }
        ], 
        "familyName": "Vassilevski", 
        "givenName": "Yuri", 
        "id": "sg:person.012104371362.91", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012104371362.91"
        ], 
        "sdDataset": "persons", 
        "sdDatePublished": "2019-03-07T14:10", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-researchers-20181010/20181011/dim_researchers/base/researchers_1927.json", 
        "type": "Person"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/person.012104371362.91'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/person.012104371362.91'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/person.012104371362.91'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/person.012104371362.91'


     




    Preview window. Press ESC to close (or click here)


    ...