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The automated reconstruction of Building Information Modeling (BIM) objects from point cloud data is still ongoing research. A key aspect is retrieving the proper observations for each object. After s...
The coastal ocean extends from the land-sea interface where freshwater enters the ocean through rivers and estuaries to beyond the continental shelf. Due in part to its shallow and complex bathymetry ...
A finite-volume formulation is presented that solves the three-dimensional, nonhydrostatic Navier–Stokes equations with the Boussinesq approximation on an unstructured, staggered, z-level grid, with t...
Applying the semi-Lagrangian method to discretize the advection of momentum eliminates the Courant number constraint associated with explicit Eulerian momentum advection in coastal ocean models. Key s...
The benefits of unstructured grids in hydrodynamic models are well understood but in many cases lead to greater numerical diffusion compared with methods available on structured grids. The flexible na...
The work focuses on the development of a two-dimensional Spectral Dierence (SD) solver for viscous compressible ow problems on unstructured quadrilateral meshes. We present the validations of this...
This report presents a three-dimensional high-order Spectral Dierence solver suitable for Large Eddy Simulation. The solver is based on the formulation of Sun et al. (2007) implemented on unstructu...
In many parts of the world, snowmelt energetics is dominated by solar irradiance. This is particularly the case in the Canadian Rocky Mountains, where clear skies dominate the winter and spring. In m...
We study the Hamiltonian associated with the quantum adiabatic algorithm with a random cost function. Because the cost function lacks structure we can prove results about the ground state. We find th...
This paper presents an improved unstructured grid immersed boundary method. The advantages of both immersed boundary method and body fitted grids which are generated by unstructured grid technology ar...
It is well known that the ordering of the unknowns can have a signicant eect on the convergence of Preconditioned Conjugate Gradient (PCG) methods. There has been considerable experimental work on the...

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