The 3rd Computational Mathematics and Applications Conference (CMA 2016)

The 3rd Computational Mathematics and Applications Conference (CMA 2016) covers topics such as:

• Algorithms and complexity
• Algorithm implementation
• Animation of geometric algorithms
• Algorithms and Computation for Complex Networks
• Applied computational geometry
• Applications in molecular biology, bioinformatics, granular mechanics, computational physics, biometrics
• Approximation of functions and quadrature formulas
• Applied Mathematics and Numerical Analysis
• Automated reasoning
• Approximation in High Dimensions
• Computational algebra
• Complex Analysis
• Computational Geometry and Bioinformatics
• Computational Fluid Dynamics
• Computational manufacturing
• Computational mathematics
• Computational methods in bioinformatics
• Computational methodology
• Computer graphics and image processing
• Computational Spectral Theory
• Constructive mathematics
• Computer-aided geometry design
• Control theory
• Constructive solid geometry
• Design and analysis of geometric algorithms and data structures
• Data structures (including Voronoi Diagrams and Delaunay triangulations)
• Domain Decompositions
• Discrete and combinatorial geometry and topology
• Exact computations
• Effective differential algebra and applications
• Financial Mathematics & Engineering
• Experimental evaluation of geometric algorithms and heuristics
• Geometric computations in parallel and distributed environments
• Geographic information systems
• Geometric methods in computer graphics
• Geometric data structures for mesh generation
• Industrial Mathematics
• High Performance Computing for Biological Modeling and Simulations
• Least Squares Finite Element Methods
• Interpolation and surface reconstruction
• Mesh generation
• Lower bounds on the computational complexity of geometric problems
• Multiscale Modeling in Mathematical Biology
• Mixed Finite Element Methods
• Numerical and algebraic issues arising in implementations
• Novel Finite Difference and Hybrid Methods for Differential Equations and Integral Problems
• Numerical Solution of ODEs
• Numerical performance of geometric algorithms
• Operations research
• Numerical solution of differential and integral equations
• Path planning
• Parallel numerical algorithms
• Polynomial systems
• Pattern recognition
• Singular Perturbations
• Real algebraic geometry
• Space Partitioning
• Solid modeling
• Statistic modeling and Monte Carlo methods
• Spatial and terrain analysis
• VLSI routing/layout
• Theoretical computational geometry
• Wavelet and Approximations