POD-based model-order reduction reduces degrees of freedom and, with density linearization and coefficient freezing, speeds up Lagrangian SPH mass-spring-damper simulations by 72 to 95 percent while keeping errors acceptable.
Space–time least-squares petrov–galerkin projection for nonlinear model reduction
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Proper Orthogonal Decomposition-based Model-Order Reduction for Smoothed Particle Hydrodynamics Simulation -- Mass-Spring-Damper System
POD-based model-order reduction reduces degrees of freedom and, with density linearization and coefficient freezing, speeds up Lagrangian SPH mass-spring-damper simulations by 72 to 95 percent while keeping errors acceptable.