International Conference on Computational Mathematics , Physics and It's Applications ( ICCMPA 2018 )
Venue : Tokyo, Japan Date : March 14 - 15, 2018
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  Call for Papers :  
 

The conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world.

 
  Topics to be covered include (but are not limited to):  
  Computational Mathematics & Applications Computational Physics & Applications  
 
  • Algorithm Implementation
  • Algorithms and Complexity
  • Algorithms and Computation for Complex Networks
  • Animation of Geometric Algorithms
  • Applications in Molecular Biology, Bioinformatics, Granular Mechanics, Computational Physics,
  • Applied Computational Geometry
  • Applied Mathematics and Numerical Analysis
  • Approximation of Functions and Quadrature Formulas
  • Approximation in High Dimensions
  • Automated Reasoning
  • Complex Analysis
  • Computational Algebra
  • Computational Fluid Dynamics
  • Computational Geometry and Bioinformatics
  • Computational Mathematics
  • Computational Manufacturing
  • Computational Methodology
  • Computational Methods in Bioinformatics
  • Computational Spectral Theory
  • Computer Graphics and Image Processing
  • Computer-Aided Geometry Design
  • Constructive Mathematics
  • Constructive Solid Geometry
  • Control Theory
  • Data Structures (Including Voronoi Diagrams and Delaunay Triangulations)
  • Design and Analysis of Geometric Algorithms and Data Structures
  • Discrete and Combinatorial Geometry and Topology
  • Domain Decompositions
  • Effective Differential Algebra and Applications
  •   Exact Computations
  •   Experimental Evaluation of Geometric Algorithms and Heuristics
  •   Financial Mathematics & Engineering
  •   Geographic Information Systems
  •   Geometric Computations in Parallel and Distributed Environments
  •   Geometric Data Structures for Mesh Generation
  •   Geometric Methods in Computer Graphics
  •   High Performance Computing for Biological Modeling and Simulations
  •   Industrial Mathematics
  •   Interpolation and Surface Reconstruction
  •   Least Squares Finite Element Methods
  •   Lower Bounds on the Computational Complexity of Geometric Problems
  •   Mesh Generation
  •   Mixed Finite Element Methods
  •   Multiscale Modeling in Mathematical Biology
  •   Novel Finite Difference and Hybrid Methods for Differential
  • Equations and Integral Problems
  •   Numerical and Algebraic Issues Arising In Implementations
  •   Numerical Performance of Geometric Algorithms
  •   Numerical Solution of ODEs
  •   Numerical Solution of Differential and Integral Equations
  •   Operations Research
  •   Parallel Numerical Algorithms
  •   Path Planning
  •   Pattern Recognition
  •   Polynomial Systems
  •   Real Algebraic Geometry
  •   Singular Perturbations
  •   Solid Modeling
  •   Space Partitioning
  •   Spatial and Terrain Analysis
  •   Statistic modeling and Monte Carlo methods
  •   Theoretical Computational Geometry
  •   VLSI Routing/Layout
  •   Wavelet and Approximations
  • Astrophysics/Plasma Physics
  • Ab-Initio Calculation in Quantum Chemistry/Atomic Physics
  • Complex Systems/Chaos/Statistical Physics
  • Biological Physics/Soft Materials
  • Quantum Phase Transitions/Condensed Matter Theory/Nano Science
  • Supercomputing/Software/Visualization
  • Challenges in Computational Physics
  • Condensed Matter Physics
  • Atom, Molecules and Optics
  • Plasma/ Space Physics
  • High Energy Physics
  • Quantum Information and Science
  • Complex Systems
  • Statistical Physics
  • Biological Physics
  • Nonlinear Physics
  • Bio-Material
  • Physics Education
  • New Methods/new facilities
  • Petaflop Supercomputers
  • GPU Supercomputing
  • Computational Fluid Dynamics (CFD)
  • MHD Stability
  • Gyrokinetics and transport
  • Edge turbulence
  • Plasma-neutral interactions
  • Fast particle physics
  • Advanced geometries
  • High Energy Density Physics
  • QED-plasmas
  • Laboratory-astrophysics
  • Electron acceleration
  • Ion acceleration
  • Low temperature plasmas and electrostatics
  • Modern, sustainable, software development
  • Parallelism and scalability, including heterogeneous parallelism
  • Many-core and GPU programming
  • Optimisation and vectorisation
  • Data handling and IO
 
       
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