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DDPS | Model reduction of partial differential equations via optimization-based feature tracking

DDPS | Model reduction of partial differential equations via optimization-based feature tracking

DDPS | Registration-based model reduction of parameterized advection-dominated PDEs

DDPS | Registration-based model reduction of parameterized advection-dominated PDEs

DDPS | Model reduction via optimization of projection operators and reduced-order dynamics

DDPS | Model reduction via optimization of projection operators and reduced-order dynamics

Optimization with Learning-Informed Partial Differential Equation Constraints --- Guozhi Dong

Optimization with Learning-Informed Partial Differential Equation Constraints --- Guozhi Dong

Prof.Tan Bui-Thanh: Data Driven-Driven PDE-Constrained Bayesian Inverse Problem

Prof.Tan Bui-Thanh: Data Driven-Driven PDE-Constrained Bayesian Inverse Problem

DDPS | Bridging numerical methods and deep learning with physics-constrained differentiable solvers

DDPS | Bridging numerical methods and deep learning with physics-constrained differentiable solvers

Prof. Zahr: Integrated Computational Physics and Numerical Optimization

Prof. Zahr: Integrated Computational Physics and Numerical Optimization

Structure Preserving Model Order Reduction by Parameter Optimization

Structure Preserving Model Order Reduction by Parameter Optimization

DDPS |Scientific Uses of Automatic Differentiation by Michael Brenner

DDPS |Scientific Uses of Automatic Differentiation by Michael Brenner

Rackauckas: Recent advancements in differential equation solver software

Rackauckas: Recent advancements in differential equation solver software

Data driven model reduction and the Koopman-Mori-Zwanzig formalism

Data driven model reduction and the Koopman-Mori-Zwanzig formalism

Reduced-Order Modeling and Inversion for Large-Scale Problems of Geophysical Exploration

Reduced-Order Modeling and Inversion for Large-Scale Problems of Geophysical Exploration