Call for Papers

Accepted full papers presented by participants will be published in the conference proceedings in Lecture Notes in Computer Science and Engineering (LNCSE). Each paper to appear in the proceedings has to be presented at the conference by at least one of the authors. Each participant can present only one paper.

Program Committee will invite extended versions of selected papers for submission to a Special Issue of Computational Mathematics and Mathematical Physics  (CMMP) in April 2019.

The list of suggested topics includes but is not limited to:

Numerical geometry problems

  • surface reconstruction and parameterization
  • integration of grid generation with CAD/CAE
  • simplification
  • repair and decomposition of geometrical models
  • geometric modeling and optimization
  • mappings
  • deformations and morphings in animation
  • geoscience
  • engineering and biomedical applications
  • geometric methods in molecular biology
  • genetics
  • computational anatomy
  • quantum chemistry and material sciences

Computational grid generation methods

  • 2D, surface, and 3D grids
  • local and global mesh quality criteria
  • structured and unstructured grids
  • Voronoi-Delaunay methods
  • geometric quality measures and numerical error
  • symmetry and invariance in grid generation
  • barrier variational methods
  • adaptive moving grids
  • mesh stability and sensitivity analysis
  • mesh untangling

Education in numerical geometry and grid generation

  • knowledge structuring

Geometry of numbers and positive definite forms

  • lattices
  • Delaunay sets
  • tilings and partitionings
  • parallelohedra and stereohedra
  • Voronoi conjecture

Numerical modeling and mesh adaptation

  • efficient iterative solutions of variational problems
  • mesh-based and "meshless" methods
  • domain decomposition
  • graph partitioning and parallel computing

Theoretical foundations of numerical geometry and grid generation

  • harmonic, conformal and quasi-isometric mappings
  • mappings of bounded distortion
  • foundations of elasticity and crystallography with large deformations
  • topological optimization
  • graph embeddings and graph drawings
  • intrinsic and extrinsic geometry of surfaces
  • discrete curvatures and manifolds of bounded curvature
  • approximations by polyhedral manifolds

Postprocessing

  • visualization
  • data representation
  • data compression