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Publications (5)
Projection-based reduced-order models (PROMs) restrict the full-order model (FOM) to a low-dimensional subspace. Space–time PROMs in particular restrict the FOM to a temporally space–time trial subspace, and compute approximate solutions through a residual orthogonalization or minimization process. One such technique of interest is the space–time l...
This work presents the windowed space--time least-squares Petrov--Galerkin method (WST-LSPG) for model reduction of nonlinear parameterized dynamical systems. WST-LSPG is a generalization of the space--time least-squares Petrov--Galerkin method (ST-LSPG). The main drawback of ST-LSPG is that it requires solving a dense space--time system with a spa...
Turbulent flows are characterized by chaotic variations in state variables and are commonly found in many applications such as jet engine mixing and flow over bluff bodies. Large Eddy Simulations (LES) of these chaotic flows have already proven to be useful to the design process. However, LES is resource and time-intensive. Application of output-ba...
