Randomized low-rank approximation methods for projection-based model order reduction of large nonlinear dynamical problems

Keyphrases

• Nonlinear Model Order Reduction 100%
• Approximation Methods 100%
• Randomized Methods 100%
• Nonlinear Dynamical 100%
• Projection-based Model Reduction 100%
• Dynamical Problem 100%
• Randomized Low-rank Approximation 100%
• Computing Time 66%
• Reduced Basis 66%
• Randomized Algorithms 66%
• Order of Accuracy 33%
• Iterative Algorithm 33%
• Model Order Reduction 33%
• Numerical Examples 33%
• Computational Complexity 33%
• Models of Computation 33%
• Asymptotic Complexity 33%
• Singular Value Decomposition 33%
• Time Complexity 33%
• Traditional Algorithm 33%
• Nonlinear Problems 33%
• Nonlinear Model 33%
• Incremental Algorithm 33%
• Explicit Integration 33%
• Computing Accuracy 33%
• Popular 33%
• Projection-based 33%

Mathematics

• Reduction of Order 100%
• Nonlinear Model 100%
• Asymptotics 50%
• Approximates 25%
• Reduction Method 25%
• Matrix (Mathematics) 25%
• Singular Value Decomposition 25%
• Concludes 25%
• Nonlinear Problem 25%
• Numerical Example 25%